title
Live Day 1- Introduction To statistics In Data Science

description
Here All the materials will be uploaded. https://github.com/krishnaik06/The-Grand-Complete-Data-Science-Materials/tree/main The Oneneuron Lifetime subscription has been extended. In Oneneuron platform you will be able to get 100+ courses(Monthly atleast 20 courses will be added based on your demand) Features of the course 1. You can raise any course demand.(Fulfilled within 45-60 days) 2. You can access innovation lab from ineuron. 3. You can use our incubation based on your ideas 4. Live session coming soon(Mostly till Feb) Use Coupon code KRISH10 for addition 10% discount. And Many More..... Enroll Now OneNeuron Link: https://one-neuron.ineuron.ai/ Direct call to our Team incase of any queries 8788503778 6260726925 9538303385 866003424 Timestamps for session 01:31 Agenda 16:15 Introduction To Statistics 19:42 Types OF Statistics 30:20 Population And Sample 34:15 Sampling Techniques 53:00 Variables And Its Types 01:05:45 Variables Measurement Scales 01:13:23 Frequency Distribution 01:17:36 Bar Graph 01:18:47 Histograms

detail
{'title': 'Live Day 1- Introduction To statistics In Data Science', 'heatmap': [{'end': 1396.124, 'start': 1337.068, 'weight': 0.814}, {'end': 2790.878, 'start': 2730.245, 'weight': 0.862}, {'end': 4188.923, 'start': 4075.927, 'weight': 0.902}, {'end': 4289.192, 'start': 4228.845, 'weight': 1}, {'end': 4666.542, 'start': 4601.036, 'weight': 0.7}, {'end': 4880.75, 'start': 4825.631, 'weight': 0.795}], 'summary': 'The 7-day stats learning session offers daily live sessions on statistics, blockchain, android, dsa, devops, python, power bi, sql projects, drone robotics, ai, and edge devices, focusing on stats this week and machine learning and deep learning projects next week, with session durations of one to one and a half hours, covering data science basics to advanced concepts and statistics in data analysis, understanding population and sampling techniques, sampling techniques in surveys, basics of data collection and understanding variables, types of variables and measurement scales, and understanding data concepts.', 'chapters': [{'end': 401.019, 'segs': [{'end': 122.053, 'src': 'embed', 'start': 93.579, 'weight': 2, 'content': [{'end': 97.18, 'text': 'uh, we like anything that is required in data science.', 'start': 93.579, 'duration': 3.601}, {'end': 97.92, 'text': 'right, everything.', 'start': 97.18, 'duration': 0.74}, {'end': 103.162, 'text': "probably i'll be solving in front of you, both theoretical along with coding.", 'start': 97.92, 'duration': 5.242}, {'end': 104.942, 'text': 'how do you perform various things?', 'start': 103.162, 'duration': 1.78}, {'end': 110.164, 'text': "i'll try to show it to you, and that will be quite amazing, so that you'll be able to learn quickly.", 'start': 104.942, 'duration': 5.222}, {'end': 122.053, 'text': 'okay, so i hope we can just wait for another five minutes so that we will probably just start till then everybody join, hit, like.', 'start': 110.484, 'duration': 11.569}], 'summary': 'Data science tasks demonstrated including coding, theory, and practical applications to aid quick learning.', 'duration': 28.474, 'max_score': 93.579, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ93579.jpg'}, {'end': 276.316, 'src': 'embed', 'start': 250.707, 'weight': 0, 'content': [{'end': 260.788, 'text': "Okay Yes, I'm trying to cover everything in stats that is required for data science.", 'start': 250.707, 'duration': 10.081}, {'end': 263.75, 'text': 'Okay So this week we are focusing on stats.', 'start': 260.968, 'duration': 2.782}, {'end': 272.534, 'text': "Next week we'll be having continuous live session on blockchain, then Android, then DSA, DevOps, Python, Power BI.", 'start': 264.35, 'duration': 8.184}, {'end': 276.316, 'text': 'These projects what we have written is both on machine learning and deep learning.', 'start': 272.974, 'duration': 3.342}], 'summary': 'Covering stats for data science, with upcoming sessions on blockchain, android, dsa, devops, python, and power bi, including projects on machine learning and deep learning.', 'duration': 25.609, 'max_score': 250.707, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ250707.jpg'}, {'end': 401.019, 'src': 'embed', 'start': 341.04, 'weight': 3, 'content': [{'end': 346.022, 'text': 'If you think that you have directly come to see the advanced section, no guys, it will be starting from basics.', 'start': 341.04, 'duration': 4.982}, {'end': 348.743, 'text': "Everything I'll try to write it in front of you.", 'start': 346.742, 'duration': 2.001}, {'end': 355.106, 'text': 'And then we will go ahead and every day I will at least try to give one to one and a half hour.', 'start': 349.384, 'duration': 5.722}, {'end': 357.167, 'text': 'Okay, no prerequisite required.', 'start': 355.226, 'duration': 1.941}, {'end': 361.509, 'text': 'Only your focus is required, which will actually help you to learn in a better way.', 'start': 357.527, 'duration': 3.982}, {'end': 365.032, 'text': "okay, so let's go ahead without wasting any time.", 'start': 361.889, 'duration': 3.143}, {'end': 368.234, 'text': 'shall we start everyone?', 'start': 365.032, 'duration': 3.202}, {'end': 369.235, 'text': 'shall we start?', 'start': 368.234, 'duration': 1.001}, {'end': 373.999, 'text': 'just give me a confirmation whether we should go ahead and start.', 'start': 369.235, 'duration': 4.764}, {'end': 377.162, 'text': 'just a thumbs up is required.', 'start': 373.999, 'duration': 3.163}, {'end': 381.566, 'text': 'okay, okay.', 'start': 377.162, 'duration': 4.404}, {'end': 385.449, 'text': 'so uh, this entire session will be a seven day session.', 'start': 381.566, 'duration': 3.883}, {'end': 392.096, 'text': "Again, I'm going to tell you the time 7 p.m. to 8 p.m..", 'start': 388.115, 'duration': 3.981}, {'end': 401.019, 'text': 'When I say 7 p.m. to 8 p.m., probably this may go till 8.30, max to max,', 'start': 394.157, 'duration': 6.862}], 'summary': 'Seven-day session, 7-8:30 pm, starting from basics, 1-1.5 hours/day, no prerequisites', 'duration': 59.979, 'max_score': 341.04, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ341040.jpg'}], 'start': 21.786, 'title': '7-day stats learning session', 'summary': 'Covers the announcement and enrollment process for a 7-day stats learning session, featuring daily live sessions on statistics, blockchain, android, dsa, devops, python, power bi, sql projects, drone robotics, ai, and edge devices, with a focus on stats this week and machine learning and deep learning projects next week.', 'chapters': [{'end': 276.316, 'start': 21.786, 'title': 'Revolutionary 7-day stats learning', 'summary': 'Covers the announcement of a 7-day stats learning session, with daily live sessions and topics including statistics, blockchain, android, dsa, devops, python, power bi, sql projects, drone robotics, ai, and edge devices, with a focus on stats this week and machine learning and deep learning projects next week.', 'duration': 254.53, 'highlights': ['The chapter introduces a 7-day stats learning session with daily live sessions and covers topics including statistics, blockchain, Android, DSA, DevOps, Python, Power BI, SQL projects, drone robotics, AI, and edge devices. The announcement of the 7-day stats learning session and the comprehensive coverage of various topics including statistics, blockchain, Android, DSA, DevOps, Python, Power BI, SQL projects, drone robotics, AI, and edge devices.', 'The focus of the week is on stats, with continuous live sessions planned for blockchain, Android, DSA, DevOps, Python, Power BI, and machine learning and deep learning projects in the following week. Emphasis on stats for the current week and the plan for continuous live sessions on various subjects including blockchain, Android, DSA, DevOps, Python, Power BI, and machine learning and deep learning projects in the subsequent week.', 'The session promises to include theoretical and coding demonstrations, with all material to be written and solved live, eschewing the use of PPTs. Commitment to providing theoretical and coding demonstrations, with all material to be written and solved live, without relying on PPTs.']}, {'end': 401.019, 'start': 276.936, 'title': 'Enrollment for 7-day statistics session', 'summary': "Discusses the enrollment process for a 7-day statistics session, emphasizing the importance of enrolling and confirming participation, as well as outlining the session's content and schedule.", 'duration': 124.083, 'highlights': ['The session will be a seven-day program, scheduled from 7 p.m. to 8 p.m., possibly extending to 8:30 p.m.', 'Emphasizing the importance of enrolling and confirming participation for accessing session materials and benefiting from the program.', 'The course will cover statistics starting from basics, with a commitment to provide daily sessions lasting one to one and a half hours.', 'Stressing the lack of prerequisites and the requirement for focused participation to aid in better learning.']}], 'duration': 379.233, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ21786.jpg', 'highlights': ['The announcement of the 7-day stats learning session and the comprehensive coverage of various topics including statistics, blockchain, Android, DSA, DevOps, Python, Power BI, SQL projects, drone robotics, AI, and edge devices.', 'The focus of the week is on stats, with continuous live sessions planned for blockchain, Android, DSA, DevOps, Python, Power BI, and machine learning and deep learning projects in the following week.', 'The session promises to include theoretical and coding demonstrations, with all material to be written and solved live, eschewing the use of PPTs.', 'The session will be a seven-day program, scheduled from 7 p.m. to 8 p.m., possibly extending to 8:30 p.m.', 'The course will cover statistics starting from basics, with a commitment to provide daily sessions lasting one to one and a half hours.']}, {'end': 942.637, 'segs': [{'end': 439.34, 'src': 'embed', 'start': 401.019, 'weight': 4, 'content': [{'end': 405.341, 'text': 'because when we are solving some problem it may take some amount of time.', 'start': 401.019, 'duration': 4.322}, {'end': 412.263, 'text': 'What are we basically going to cover? From basics to advanced.', 'start': 406.081, 'duration': 6.182}, {'end': 418.028, 'text': 'one basics to advance.', 'start': 416.647, 'duration': 1.381}, {'end': 423.431, 'text': "Okay Now what all things from basics to advance we are going to cover that also I'll tell you about here.", 'start': 418.128, 'duration': 5.303}, {'end': 439.34, 'text': 'This will be specifically related to positions like data scientist, data analyst, data scientist, data analyst.', 'start': 424.812, 'duration': 14.528}], 'summary': 'Covering basics to advanced in data science for positions like data scientist and data analyst.', 'duration': 38.321, 'max_score': 401.019, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ401019.jpg'}, {'end': 543.845, 'src': 'embed', 'start': 503.49, 'weight': 3, 'content': [{'end': 511.042, 'text': 'you really need to understand the differences between descriptive stats and inferential stats,', 'start': 503.49, 'duration': 7.552}, {'end': 516.205, 'text': 'because the entire statistics with respect to data science is divided into these two concepts.', 'start': 511.042, 'duration': 5.163}, {'end': 528.794, 'text': 'Okay? So, in descriptive stats, some of the topics that I really want to mention is measure of central tendency.', 'start': 516.645, 'duration': 12.149}, {'end': 536.199, 'text': 'Okay? Measure of dispersions.', 'start': 532.716, 'duration': 3.483}, {'end': 543.845, 'text': 'These are some of the examples.', 'start': 542.062, 'duration': 1.783}], 'summary': 'Understanding descriptive and inferential stats is crucial for data science.', 'duration': 40.355, 'max_score': 503.49, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ503490.jpg'}, {'end': 689.752, 'src': 'embed', 'start': 617.004, 'weight': 0, 'content': [{'end': 620.025, 'text': "We'll also be understanding some topics like probability.", 'start': 617.004, 'duration': 3.021}, {'end': 622.886, 'text': 'Okay Permutations.', 'start': 621.265, 'duration': 1.621}, {'end': 628.62, 'text': 'which are pretty much, probability is very much important in terms for data science.', 'start': 624.878, 'duration': 3.742}, {'end': 644.568, 'text': 'Okay So probability permutations, and probably if I want to talk about mean, median, mode, right? So you also have variance, standard deviation.', 'start': 629.18, 'duration': 15.388}, {'end': 650.411, 'text': "We're going to cover many distributions.", 'start': 648.11, 'duration': 2.301}, {'end': 661.86, 'text': 'Let me name the distributions over here, like Gaussian distribution, Okay, then you have log normal distribution.', 'start': 650.771, 'duration': 11.089}, {'end': 673.131, 'text': 'Then probably you have the third one that I would like to talk about is other type of distribution like binomial distribution.', 'start': 666.084, 'duration': 7.047}, {'end': 679.897, 'text': "Okay, then you have Bernoulli's distribution.", 'start': 673.151, 'duration': 6.746}, {'end': 687.651, 'text': 'Okay Yes, it is free for everyone guys.', 'start': 685.43, 'duration': 2.221}, {'end': 689.752, 'text': 'Please check the link.', 'start': 687.971, 'duration': 1.781}], 'summary': "Covering probability, permutations, mean, median, mode, variance, standard deviation, and various distributions including gaussian, log normal, binomial, and bernoulli's distribution.", 'duration': 72.748, 'max_score': 617.004, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ617004.jpg'}, {'end': 830.588, 'src': 'embed', 'start': 801.307, 'weight': 1, 'content': [{'end': 805.189, 'text': "T test also I'll be showing you by using Python programming language.", 'start': 801.307, 'duration': 3.882}, {'end': 814.075, 'text': "chi-square test, anova test, okay, and any test, probably i'm missing over here chi-square, anova, z test, t test,", 'start': 805.729, 'duration': 8.346}, {'end': 817.578, 'text': 'um and some more important test which i am forgetting.', 'start': 814.075, 'duration': 3.503}, {'end': 825.264, 'text': 'probably in any kind of inferential statistics test will get completed and probably will finish up all all this particular discussion.', 'start': 817.578, 'duration': 7.686}, {'end': 830.588, 'text': 'let me just see with respect to the topics that i have probably written over here in my notebook.', 'start': 825.264, 'duration': 5.324}], 'summary': 'The transcript covers various statistical tests including t-test, chi-square test, anova test, z-test, and more using python programming language.', 'duration': 29.281, 'max_score': 801.307, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ801307.jpg'}], 'start': 401.019, 'title': 'Data science basics to advanced', 'summary': 'Covers basics to advanced data science concepts, including descriptive and inferential statistics, focusing on positions such as data scientist and data analyst. it offers free enrollment materials and code. additionally, it covers distributions, inferential statistics, and various tests with a session duration of one to one and a half hours.', 'chapters': [{'end': 595.096, 'start': 401.019, 'title': 'Data science basics to advanced', 'summary': 'Covers the basics to advanced concepts of data science, including descriptive and inferential statistics, with a focus on positions such as data scientist and data analyst, and offers materials and code for free enrollment.', 'duration': 194.077, 'highlights': ['The chapter covers the basics to advanced concepts of data science, including descriptive and inferential statistics. The course covers foundational concepts in data science, such as descriptive and inferential statistics, essential for understanding data analysis and decision making.', 'Focus on positions such as data scientist and data analyst, offering materials and code for free enrollment. The chapter caters specifically to roles like data scientist and data analyst, providing materials and code for free enrollment to support learning and skill development.', 'Emphasis on descriptive statistics topics including measures of central tendency and measures of dispersion. The course delves into descriptive statistics topics, covering measures of central tendency and dispersion, crucial for data summarization and analysis.']}, {'end': 942.637, 'start': 595.696, 'title': 'Data science distributions & inferential stats', 'summary': "Covers topics like histograms, pdf, cdf, probability, permutations, mean, median, mode, variance, standard deviation, gaussian distribution, log normal distribution, binomial distribution, bernoulli's distribution, pareto distributions, power law distribution, standard normal distributions, transformation, standardization, q-q plot, z test, t test, anova test, chi-square test, hypothesis testing, p values, confidence intervals, and statistical tables with a session duration of one to one and a half hours.", 'duration': 346.941, 'highlights': ["The chapter covers topics like histograms, PDF, CDF, probability, permutations, mean, median, mode, variance, standard deviation, Gaussian distribution, log normal distribution, binomial distribution, Bernoulli's distribution, Pareto distributions, power law distribution, standard normal distributions, transformation, standardization, Q-Q plot, Z test, T test, ANOVA test, chi-square test, hypothesis testing, p values, confidence intervals, and statistical tables with a session duration of one to one and a half hours.", "The session duration is one to one and a half hours, and the coverage includes topics like histograms, PDF, CDF, probability, permutations, mean, median, mode, variance, standard deviation, Gaussian distribution, log normal distribution, binomial distribution, Bernoulli's distribution, Pareto distributions, power law distribution, standard normal distributions, transformation, standardization, Q-Q plot, Z test, T test, ANOVA test, chi-square test, hypothesis testing, p values, confidence intervals, and statistical tables.", 'The chapter covers various statistical tests like Z test, T test, ANOVA test, chi-square test, and hypothesis testing, including their execution in Python, with a session duration of one to one and a half hours.', 'The session will cover the topic of confidence intervals, p values, and statistical tables, including z table and t table, and will be available on YouTube and the dashboard with a duration of one to one and a half hours.', "The session will cover various statistical distributions like Gaussian distribution, log normal distribution, binomial distribution, Bernoulli's distribution, Pareto distributions, power law distribution, and standard normal distributions, with a duration of one to one and a half hours."]}], 'duration': 541.618, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ401019.jpg', 'highlights': ["The chapter covers topics like histograms, PDF, CDF, probability, permutations, mean, median, mode, variance, standard deviation, Gaussian distribution, log normal distribution, binomial distribution, Bernoulli's distribution, Pareto distributions, power law distribution, standard normal distributions, transformation, standardization, Q-Q plot, Z test, T test, ANOVA test, chi-square test, hypothesis testing, p values, confidence intervals, and statistical tables with a session duration of one to one and a half hours.", 'The chapter covers various statistical tests like Z test, T test, ANOVA test, chi-square test, and hypothesis testing, including their execution in Python, with a session duration of one to one and a half hours.', "The session will cover various statistical distributions like Gaussian distribution, log normal distribution, binomial distribution, Bernoulli's distribution, Pareto distributions, power law distribution, and standard normal distributions, with a duration of one to one and a half hours.", 'Emphasis on descriptive statistics topics including measures of central tendency and measures of dispersion. The course delves into descriptive statistics topics, covering measures of central tendency and dispersion, crucial for data summarization and analysis.', 'Focus on positions such as data scientist and data analyst, offering materials and code for free enrollment. The chapter caters specifically to roles like data scientist and data analyst, providing materials and code for free enrollment to support learning and skill development.', 'The chapter covers the basics to advanced concepts of data science, including descriptive and inferential statistics. The course covers foundational concepts in data science, such as descriptive and inferential statistics, essential for understanding data analysis and decision making.']}, {'end': 1732.514, 'segs': [{'end': 1070.156, 'src': 'embed', 'start': 1003.348, 'weight': 0, 'content': [{'end': 1010.553, 'text': 'Many people have different kind of definition with statistics, but I really want to give a very simple definition, which is from Wikipedia.', 'start': 1003.348, 'duration': 7.205}, {'end': 1029.266, 'text': "So I'm going to say statistics is the science of collecting, organizing, and analyzing data.", 'start': 1011.054, 'duration': 18.212}, {'end': 1043.04, 'text': 'Okay, Now you know, based on the amount of data that is getting generated, now you can just understand directly like how important stats is, right?', 'start': 1032.753, 'duration': 10.287}, {'end': 1045.201, 'text': 'You have tons and tons of data,', 'start': 1043.66, 'duration': 1.541}, {'end': 1054.611, 'text': 'you have huge amount of data and definitely You can actually utilize this particular data to make sure that there is improvement in your products,', 'start': 1045.201, 'duration': 9.41}, {'end': 1060.133, 'text': 'there is improvement in your business goals, and that actually helps you to finally make a very good decision.', 'start': 1054.611, 'duration': 5.522}, {'end': 1070.156, 'text': 'So finally, why we are doing this? We are doing this for better decision making.', 'start': 1060.193, 'duration': 9.963}], 'summary': 'Statistics is the science of collecting, organizing, and analyzing data, crucial for making better decisions based on the large amount of data available.', 'duration': 66.808, 'max_score': 1003.348, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ1003348.jpg'}, {'end': 1216.602, 'src': 'embed', 'start': 1186.916, 'weight': 3, 'content': [{'end': 1191.098, 'text': 'right here we can basically measure, and the example is iq of a class.', 'start': 1186.916, 'duration': 4.182}, {'end': 1193.439, 'text': 'right, suppose i?', 'start': 1191.098, 'duration': 2.341}, {'end': 1194.799, 'text': 'i want to give one more example.', 'start': 1193.439, 'duration': 1.36}, {'end': 1202.177, 'text': 'okay, the age, the ages of student of a class, a class.', 'start': 1194.799, 'duration': 7.378}, {'end': 1208.76, 'text': 'okay, I may have different ages, like 30, 25, 24, 23, 27, 28.', 'start': 1202.177, 'duration': 6.583}, {'end': 1209.32, 'text': 'what is this?', 'start': 1208.76, 'duration': 0.56}, {'end': 1216.602, 'text': 'this is specifically data, and always remember, the most intrinsic meaning of data is that it can be measured.', 'start': 1209.32, 'duration': 7.282}], 'summary': 'Data can be measured, e.g., iq and ages of students in a class.', 'duration': 29.686, 'max_score': 1186.916, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ1186916.jpg'}, {'end': 1396.124, 'src': 'heatmap', 'start': 1310.597, 'weight': 2, 'content': [{'end': 1317.661, 'text': "Okay And if I really want to understand, I'll probably make you understand more about what is descriptive stats.", 'start': 1310.597, 'duration': 7.064}, {'end': 1321.684, 'text': "But let's go towards the definition of inferential stats.", 'start': 1318.141, 'duration': 3.543}, {'end': 1328.168, 'text': 'Okay Now, in inferential stats, you can basically say that.', 'start': 1324.745, 'duration': 3.423}, {'end': 1332.73, 'text': 'Okay It is a technique.', 'start': 1330.129, 'duration': 2.601}, {'end': 1333.851, 'text': 'It is a technique.', 'start': 1333.03, 'duration': 0.821}, {'end': 1355.821, 'text': 'wherein we use the data that we have measured to form conclusions.', 'start': 1337.068, 'duration': 18.753}, {'end': 1363.786, 'text': 'Now if I talk about two important things, one is conclusion and one is about data.', 'start': 1358.443, 'duration': 5.343}, {'end': 1372.247, 'text': "Now, first of all, we will understand about descriptive stats and then probably, I'll give you a very good example.", 'start': 1365.063, 'duration': 7.184}, {'end': 1374.288, 'text': "I'll try to give you a very good example.", 'start': 1372.687, 'duration': 1.601}, {'end': 1382.553, 'text': "And based on that particular example, what is the type of question that may come up in descriptive stats? So let's consider that.", 'start': 1374.949, 'duration': 7.604}, {'end': 1385.394, 'text': 'I have a classroom of math students.', 'start': 1383.413, 'duration': 1.981}, {'end': 1389.777, 'text': "Let's say that I have a classroom of math students.", 'start': 1385.555, 'duration': 4.222}, {'end': 1396.124, 'text': "Okay And in this classroom, let's consider that there are around 20 people.", 'start': 1391.778, 'duration': 4.346}], 'summary': 'Descriptive stats explain data, while inferential stats form conclusions from measured data.', 'duration': 45.224, 'max_score': 1310.597, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ1310597.jpg'}], 'start': 942.737, 'title': 'Statistics in data analysis', 'summary': 'Emphasizes the importance of statistics in data analysis for decision making, covering descriptive and inferential statistics and providing examples of measurable data like iq scores and ages of students.', 'chapters': [{'end': 1250.478, 'start': 942.737, 'title': 'Understanding statistics and data', 'summary': 'Covers the importance of statistics in data analysis for decision making, emphasizing the definition of statistics as the science of collecting, organizing, and analyzing data, and providing examples of measurable data like iq scores and ages of students.', 'duration': 307.741, 'highlights': ['The importance of statistics in making data-driven decisions is emphasized, as it enables the improvement of products and business goals based on the vast amount of data available.', 'Statistics is defined as the science of collecting, organizing, and analyzing data, highlighting its vital role in decision making.', 'Examples of measurable data like IQ scores and ages of students are provided, demonstrating the practical application of statistical concepts.']}, {'end': 1732.514, 'start': 1250.619, 'title': 'Types of statistics', 'summary': 'Introduces descriptive and inferential statistics, emphasizing the importance of understanding these types. it provides examples and concepts for both, such as organizing and summarizing data in descriptive stats and using measured data to form conclusions in inferential stats.', 'duration': 481.895, 'highlights': ['The chapter introduces descriptive and inferential statistics, emphasizing the importance of understanding these types. The chapter emphasizes the importance of understanding the types of statistics, particularly descriptive and inferential statistics.', 'It provides examples and concepts for both, such as organizing and summarizing data in descriptive stats and using measured data to form conclusions in inferential stats. The chapter provides examples for descriptive statistics, such as organizing and summarizing data, and for inferential statistics, such as using measured data to form conclusions.']}], 'duration': 789.777, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ942737.jpg', 'highlights': ['The importance of statistics in making data-driven decisions is emphasized, as it enables the improvement of products and business goals based on the vast amount of data available.', 'Statistics is defined as the science of collecting, organizing, and analyzing data, highlighting its vital role in decision making.', 'The chapter introduces descriptive and inferential statistics, emphasizing the importance of understanding these types.', 'Examples of measurable data like IQ scores and ages of students are provided, demonstrating the practical application of statistical concepts.', 'It provides examples and concepts for both, such as organizing and summarizing data in descriptive stats and using measured data to form conclusions in inferential stats.']}, {'end': 2531.47, 'segs': [{'end': 1826.601, 'src': 'embed', 'start': 1797.935, 'weight': 4, 'content': [{'end': 1803.178, 'text': 'So coming over here is basically population and sample.', 'start': 1797.935, 'duration': 5.243}, {'end': 1809.442, 'text': 'Okay What exactly is population? Okay.', 'start': 1803.818, 'duration': 5.624}, {'end': 1815.532, 'text': "Now population basically means let's consider one example again.", 'start': 1812.29, 'duration': 3.242}, {'end': 1818.955, 'text': 'See guys, I will definitely give you a lot of examples.', 'start': 1815.713, 'duration': 3.242}, {'end': 1826.601, 'text': "The reason why I'm giving you examples is that because, understand, if we learn statistics in such a way that we have examples in mind,", 'start': 1819.135, 'duration': 7.466}], 'summary': 'Introduction to population and sample in statistics.', 'duration': 28.666, 'max_score': 1797.935, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ1797935.jpg'}, {'end': 1943.811, 'src': 'embed', 'start': 1897.663, 'weight': 0, 'content': [{'end': 1900.326, 'text': 'so what happens in this exit poll, this reporters?', 'start': 1897.663, 'duration': 2.663}, {'end': 1904.97, 'text': 'what they do is that they take up sample of population.', 'start': 1900.326, 'duration': 4.644}, {'end': 1909.434, 'text': 'they take up sample of population from different different region.', 'start': 1904.97, 'duration': 4.464}, {'end': 1912.857, 'text': 'okay, and again there are different, different kinds of sampling techniques.', 'start': 1909.434, 'duration': 3.423}, {'end': 1916.597, 'text': 'OK, they take up different different samples.', 'start': 1914.116, 'duration': 2.481}, {'end': 1919.939, 'text': 'And then what they do is that they ask that whom did you vote?', 'start': 1917.078, 'duration': 2.861}, {'end': 1924.201, 'text': 'And based on that maximum number of people, whom did they vote?', 'start': 1920.639, 'duration': 3.562}, {'end': 1927.783, 'text': 'They basically say based on that they actually create their exit poll.', 'start': 1924.241, 'duration': 3.542}, {'end': 1935.047, 'text': 'Now, in this particular case, what is my population data? My population data is this entire population of Goa.', 'start': 1929.244, 'duration': 5.803}, {'end': 1938.188, 'text': 'So this specific thing is my population data.', 'start': 1935.267, 'duration': 2.921}, {'end': 1943.811, 'text': 'And this round circles that I have actually done is basically my sample data.', 'start': 1939.309, 'duration': 4.502}], 'summary': 'Exit poll uses sampling techniques to predict election outcomes based on population data.', 'duration': 46.148, 'max_score': 1897.663, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ1897663.jpg'}, {'end': 2097.937, 'src': 'embed', 'start': 2062.375, 'weight': 2, 'content': [{'end': 2076.927, 'text': 'Okay Now, the first sampling techniques, which is most of the time used, is called as simple random sampling.', 'start': 2062.375, 'duration': 14.552}, {'end': 2078.848, 'text': 'Simple random sampling.', 'start': 2077.467, 'duration': 1.381}, {'end': 2080.549, 'text': 'Very simple, very important.', 'start': 2078.908, 'duration': 1.641}, {'end': 2082.571, 'text': 'Suppose I have some data.', 'start': 2081.05, 'duration': 1.521}, {'end': 2086.587, 'text': 'I have some population.', 'start': 2084.545, 'duration': 2.042}, {'end': 2088.549, 'text': 'Suppose this is my population.', 'start': 2087.327, 'duration': 1.222}, {'end': 2094.534, 'text': 'Simple random sampling will be just like you go and pick up some people like this anyhow you want.', 'start': 2089.208, 'duration': 5.326}, {'end': 2097.937, 'text': 'There is no such confusion as such.', 'start': 2095.134, 'duration': 2.803}], 'summary': 'Simple random sampling is a common technique, involving picking people from a population in a non-specific manner.', 'duration': 35.562, 'max_score': 2062.375, 'thumbnail': ''}, {'end': 2340.48, 'src': 'embed', 'start': 2278.557, 'weight': 3, 'content': [{'end': 2279.858, 'text': 'what is stratified sampling?', 'start': 2278.557, 'duration': 1.301}, {'end': 2286.041, 'text': 'What is stratified sampling?', 'start': 2284.4, 'duration': 1.641}, {'end': 2289.243, 'text': 'Any guesses?', 'start': 2288.703, 'duration': 0.54}, {'end': 2302.09, 'text': 'What is stratified sampling, guys?', 'start': 2300.569, 'duration': 1.521}, {'end': 2302.67, 'text': 'Any guesses?', 'start': 2302.19, 'duration': 0.48}, {'end': 2307.895, 'text': 'Okay, let me give you a definition.', 'start': 2305.413, 'duration': 2.482}, {'end': 2327.371, 'text': 'Stratified sampling is a technique where the population, where the population, that is capital N, is split into non-overlapping groups.', 'start': 2308.996, 'duration': 18.375}, {'end': 2335.656, 'text': 'okay, where?', 'start': 2333.194, 'duration': 2.462}, {'end': 2336.216, 'text': 'understand this?', 'start': 2335.656, 'duration': 0.56}, {'end': 2337.577, 'text': 'this is very important.', 'start': 2336.216, 'duration': 1.361}, {'end': 2340.48, 'text': 'non-overlapping groups, okay.', 'start': 2337.577, 'duration': 2.903}], 'summary': 'Stratified sampling splits population into non-overlapping groups for better representation.', 'duration': 61.923, 'max_score': 2278.557, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ2278557.jpg'}], 'start': 1735.216, 'title': 'Understanding population and sampling techniques', 'summary': 'Discusses the concepts of population and sample in statistics, using examples from elections in goa and uttar pradesh. it also introduces simple random and stratified sampling techniques, emphasizing non-overlapping groups and equal chance of selection.', 'chapters': [{'end': 1943.811, 'start': 1735.216, 'title': 'Understanding population and sample', 'summary': 'Discusses the concept of population and sample in statistics, emphasizing the use of examples and illustrating the process with the example of elections in goa and uttar pradesh, explaining the need for sampling and exit polls.', 'duration': 208.595, 'highlights': ['The concept of population and sample in statistics is explained using the example of elections in Goa and Uttar Pradesh. The chapter uses the example of elections in Goa and Uttar Pradesh to illustrate the concept of population and sample in statistics, emphasizing the need for sampling and the use of exit polls.', 'The process of exit polls is detailed, emphasizing the use of sampling techniques and the creation of the exit poll based on the sample data. The process of exit polls is detailed, highlighting the use of sampling techniques and how the exit poll is created based on the sample data collected from different regions.', 'The importance of using examples to understand statistics and effectively explain concepts is emphasized. The chapter emphasizes the importance of using examples to understand statistics, enabling effective explanation of concepts, particularly in interviews or discussions.']}, {'end': 2531.47, 'start': 1947.09, 'title': 'Sampling techniques in data analysis', 'summary': 'Introduces the concepts of simple random sampling and stratified sampling techniques, highlighting the importance of non-overlapping groups and providing practical examples. it emphasizes the equal chance of selection in simple random sampling and the division of the population into non-overlapping groups in stratified sampling.', 'duration': 584.38, 'highlights': ['The first sampling technique discussed is simple random sampling, emphasizing the equal chance of selection for every member of the population. Simple random sampling ensures every member of the population has an equal chance of being selected for the sample, a crucial aspect for unbiased representation.', 'The chapter explains stratified sampling as a technique involving the division of the population into non-overlapping groups, with practical examples such as gender-based and age-based sampling. Stratified sampling focuses on splitting the population into non-overlapping groups (strata), as illustrated by examples like gender-based and age-based sampling, ensuring representation from distinct segments of the population.']}], 'duration': 796.254, 'thumbnail': '', 'highlights': ['The concept of population and sample in statistics is explained using the example of elections in Goa and Uttar Pradesh.', 'The process of exit polls is detailed, emphasizing the use of sampling techniques and the creation of the exit poll based on the sample data.', 'The first sampling technique discussed is simple random sampling, emphasizing the equal chance of selection for every member of the population.', 'The chapter explains stratified sampling as a technique involving the division of the population into non-overlapping groups, with practical examples such as gender-based and age-based sampling.', 'The importance of using examples to understand statistics and effectively explain concepts is emphasized.']}, {'end': 3139.345, 'segs': [{'end': 2552.87, 'src': 'embed', 'start': 2531.9, 'weight': 2, 'content': [{'end': 2541.825, 'text': 'Okay But definitely we can apply it for doctors, engineers, right? Doctors, engineers, different, different survey can be there.', 'start': 2531.9, 'duration': 9.925}, {'end': 2547.227, 'text': 'Okay. So just understand that in some of the cases we can do stratified sampling,', 'start': 2542.125, 'duration': 5.102}, {'end': 2552.87, 'text': 'but by applying some other conditions we can make sure that that sampling satisfies all the conditions.', 'start': 2547.227, 'duration': 5.643}], 'summary': 'Stratified sampling can be applied to doctors and engineers to ensure it satisfies all conditions.', 'duration': 20.97, 'max_score': 2531.9, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ2531900.jpg'}, {'end': 2790.878, 'src': 'heatmap', 'start': 2730.245, 'weight': 0.862, 'content': [{'end': 2734.927, 'text': 'because you could see right, probably random sampling may have been used.', 'start': 2730.245, 'duration': 4.682}, {'end': 2744.193, 'text': "okay, okay, okay, many people knows about it, great, okay, now let's come to the next sampling, which is called as uh uh,", 'start': 2734.927, 'duration': 9.266}, {'end': 2746.394, 'text': 'you can say it as convenience sampling.', 'start': 2744.193, 'duration': 2.201}, {'end': 2749.976, 'text': 'um, you can say it as voluntary response sampling.', 'start': 2746.394, 'duration': 3.582}, {'end': 2752.999, 'text': 'I will just say it as the fourth technique.', 'start': 2750.438, 'duration': 2.561}, {'end': 2755.2, 'text': 'I will say it as convenience sampling.', 'start': 2752.999, 'duration': 2.201}, {'end': 2760.903, 'text': 'Now, what exactly is convenience sampling?', 'start': 2759.142, 'duration': 1.761}, {'end': 2764.669, 'text': 'This kind of samples, suppose.', 'start': 2762.008, 'duration': 2.661}, {'end': 2766.75, 'text': "let's consider that I'm doing a survey.", 'start': 2764.669, 'duration': 2.081}, {'end': 2776.593, 'text': 'only those people who are a domain expertise in that particular survey will be participating in that particular survey.', 'start': 2766.75, 'duration': 9.843}, {'end': 2781.015, 'text': "Suppose let's say consider that I am doing a survey related to data science.", 'start': 2777.213, 'duration': 3.802}, {'end': 2790.878, 'text': 'I will say that any person who is probably interested in data science and has the knowledge of data science, if you consider only those people,', 'start': 2783.135, 'duration': 7.743}], 'summary': 'Discussion on convenience sampling in survey methods.', 'duration': 60.633, 'max_score': 2730.245, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ2730245.jpg'}, {'end': 2819.909, 'src': 'embed', 'start': 2792.62, 'weight': 0, 'content': [{'end': 2795.821, 'text': 'Only those people, then it basically becomes a convenience sampling.', 'start': 2792.62, 'duration': 3.201}, {'end': 2798.422, 'text': 'Clear guys, everyone? Very simple.', 'start': 2796.561, 'duration': 1.861}, {'end': 2808.885, 'text': 'Yeah? Only those people who are basically interested in this, okay, will basically be doing it.', 'start': 2800.683, 'duration': 8.202}, {'end': 2811.786, 'text': 'Or who are expert in that, will definitely be doing it.', 'start': 2809.025, 'duration': 2.761}, {'end': 2819.909, 'text': 'Because this is a specific topic which requires domain knowledge, which require some amazing things, in that, basically,', 'start': 2812.186, 'duration': 7.723}], 'summary': 'Convenience sampling for those interested or expert in a specific topic.', 'duration': 27.289, 'max_score': 2792.62, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ2792620.jpg'}, {'end': 3001.873, 'src': 'embed', 'start': 2962.867, 'weight': 3, 'content': [{'end': 2968.248, 'text': 'Okay The RBI, I hope everybody knows RBI.', 'start': 2962.867, 'duration': 5.381}, {'end': 2971.289, 'text': 'They do something survey with respect to household.', 'start': 2968.288, 'duration': 3.001}, {'end': 2974.509, 'text': 'Household surveys.', 'start': 2973.669, 'duration': 0.84}, {'end': 2991.953, 'text': 'Okay For this household surveys, what kind of sampling probably they may use? What kind of sampling they may use? Tell me.', 'start': 2975.53, 'duration': 16.423}, {'end': 3001.873, 'text': 'Hey guys, you may also consider that over here you need to follow some stratified random sampling.', 'start': 2997.489, 'duration': 4.384}], 'summary': 'Rbi conducts household surveys using stratified random sampling.', 'duration': 39.006, 'max_score': 2962.867, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ2962867.jpg'}, {'end': 3055.34, 'src': 'embed', 'start': 3024.549, 'weight': 1, 'content': [{'end': 3028.77, 'text': "If you don't want to consider stratified sampling, we can also do convenient sampling.", 'start': 3024.549, 'duration': 4.221}, {'end': 3033.05, 'text': 'Only women you can basically consider over there and you can do it.', 'start': 3029.33, 'duration': 3.72}, {'end': 3036.331, 'text': 'Now understand, sampling techniques may be different.', 'start': 3033.591, 'duration': 2.74}, {'end': 3045.935, 'text': 'It is completely dependent on the use case that we are following, right? Based on the use case that you really want to do, based on that you will do.', 'start': 3036.551, 'duration': 9.384}, {'end': 3049.817, 'text': 'And it is not like we will just be dependent on one kind of data.', 'start': 3046.435, 'duration': 3.382}, {'end': 3055.34, 'text': 'We try to use different different sampling techniques and finally we try to come to a conclusion on the same.', 'start': 3049.997, 'duration': 5.343}], 'summary': 'Sampling techniques vary based on use case, not limited to one type of data.', 'duration': 30.791, 'max_score': 3024.549, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ3024549.jpg'}], 'start': 2531.9, 'title': 'Sampling techniques in surveys', 'summary': "Discusses various sampling techniques in surveys such as random and convenience sampling, highlighting the importance of domain expertise and use case dependency. it includes examples of exit polls and household surveys, and addresses thanos' actions in a covid-related study at a mall.", 'chapters': [{'end': 2673.378, 'start': 2531.9, 'title': 'Sampling techniques and their application', 'summary': "Discusses different sampling techniques including stratified and systematic sampling, with examples such as surveying individuals at a mall for a covid-related study, and addressing questions about thanos' actions.", 'duration': 141.478, 'highlights': ['Systematic sampling involves selecting every Nth individual from a population, such as surveying every 7th or 8th person at a mall for a COVID-related study. Systematic sampling selects every Nth individual from a population, for example, surveying every 7th or 8th person at a mall for a COVID-related study.', 'The chapter also mentions the concept of stratified sampling for different professions like doctors and engineers. The chapter mentions the concept of stratified sampling for different professions like doctors and engineers.', 'An example is given to explain systematic sampling using the scenario of surveying individuals at a mall for a COVID-related study. An example is given to explain systematic sampling using the scenario of surveying individuals at a mall for a COVID-related study.']}, {'end': 3139.345, 'start': 2673.378, 'title': 'Sampling techniques in surveys', 'summary': 'Discusses various sampling techniques including random sampling and convenience sampling, emphasizing the importance of domain expertise and use case dependency, with examples of exit polls and household surveys.', 'duration': 465.967, 'highlights': ['The importance of domain expertise is highlighted in convenience sampling, where only those with specific knowledge or interest in a topic are surveyed, ensuring relevant and valuable data for decision-making.', 'The use case dependency of sampling techniques is emphasized, indicating that different techniques are employed based on the specific survey or survey population, such as stratified sampling for household surveys and random sampling for exit polls.', 'The chapter stresses the significance of considering age groupings and use cases when selecting samples for testing a drug, illustrating the adaptability of sampling techniques based on the nature of the test and the target population.', 'The discussion includes examples of surveys conducted by organizations like RBI, demonstrating the application of various sampling techniques in real-world scenarios to gather specific and relevant data for analysis and decision-making.']}], 'duration': 607.445, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ2531900.jpg', 'highlights': ['The importance of domain expertise in convenience sampling ensures relevant and valuable data for decision-making.', 'The use case dependency of sampling techniques emphasizes employing different techniques based on the specific survey or survey population.', 'The chapter mentions the concept of stratified sampling for different professions like doctors and engineers.', 'The discussion includes examples of surveys conducted by organizations like RBI, demonstrating the application of various sampling techniques in real-world scenarios.']}, {'end': 3664.67, 'segs': [{'end': 3172.811, 'src': 'embed', 'start': 3139.745, 'weight': 0, 'content': [{'end': 3144.448, 'text': 'And again, There may be many things, many questions that may come.', 'start': 3139.745, 'duration': 4.703}, {'end': 3145.689, 'text': 'is that okay, Krish?', 'start': 3144.448, 'duration': 1.241}, {'end': 3146.269, 'text': 'why not this??', 'start': 3145.689, 'duration': 0.58}, {'end': 3146.95, 'text': 'Why not that??', 'start': 3146.349, 'duration': 0.601}, {'end': 3147.67, 'text': 'Why not this??', 'start': 3147.11, 'duration': 0.56}, {'end': 3148.291, 'text': 'Why not that??', 'start': 3147.73, 'duration': 0.561}, {'end': 3149.992, 'text': 'Right?, This kind of questions may come.', 'start': 3148.691, 'duration': 1.301}, {'end': 3153.594, 'text': 'That is where we basically experiment with multiple things.', 'start': 3150.552, 'duration': 3.042}, {'end': 3159.498, 'text': 'Okay? So in the real world scenario also, when you are probably collecting the data, you will find this kind of scenarios a lot.', 'start': 3153.794, 'duration': 5.704}, {'end': 3172.811, 'text': "Okay? So happy till this much guys? Is my handwriting good? Is my handwriting good? See, I've written around five to six sheets now, probably.", 'start': 3159.998, 'duration': 12.813}], 'summary': 'Discussion on handling multiple scenarios in data collection and experimentation.', 'duration': 33.066, 'max_score': 3139.745, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ3139745.jpg'}, {'end': 3217.286, 'src': 'embed', 'start': 3190.55, 'weight': 1, 'content': [{'end': 3193.912, 'text': 'Once we get the basics right, we can do many, many things.', 'start': 3190.55, 'duration': 3.362}, {'end': 3196.553, 'text': 'Okay We can do many, many things.', 'start': 3194.232, 'duration': 2.321}, {'end': 3202.997, 'text': 'Okay So here in the first two days, that is today and tomorrow, we are going to focus on the basics.', 'start': 3196.633, 'duration': 6.364}, {'end': 3205.179, 'text': 'Okay It may take additional one hour.', 'start': 3203.237, 'duration': 1.942}, {'end': 3207.54, 'text': 'You should keep on hitting like button.', 'start': 3205.639, 'duration': 1.901}, {'end': 3209.381, 'text': 'Okay And you should keep on supporting.', 'start': 3207.86, 'duration': 1.521}, {'end': 3211.322, 'text': 'Okay I need your support.', 'start': 3209.621, 'duration': 1.701}, {'end': 3217.286, 'text': "If I have your support, then only I'll be able to probably do it and explain it in a much better manner.", 'start': 3211.943, 'duration': 5.343}], 'summary': 'Focus on basics in first two days for better understanding and support.', 'duration': 26.736, 'max_score': 3190.55, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ3190550.jpg'}, {'end': 3279.809, 'src': 'embed', 'start': 3252.177, 'weight': 2, 'content': [{'end': 3255.098, 'text': 'Okay? A variable is a property that can take any value.', 'start': 3252.177, 'duration': 2.921}, {'end': 3256.479, 'text': "Let's say an example.", 'start': 3255.298, 'duration': 1.181}, {'end': 3257.84, 'text': "I'll say height.", 'start': 3257.059, 'duration': 0.781}, {'end': 3260.481, 'text': 'Okay? I may say weight.', 'start': 3258.941, 'duration': 1.54}, {'end': 3262.563, 'text': 'Okay? These are variables.', 'start': 3261.282, 'duration': 1.281}, {'end': 3263.483, 'text': 'We can have any value.', 'start': 3262.623, 'duration': 0.86}, {'end': 3266.785, 'text': 'We can have 170 centimeters, 172 centimeters, 185 centimeters, 190 centimeters, anything.', 'start': 3263.583, 'duration': 3.202}, {'end': 3272.647, 'text': 'Okay? I can have different different values with respect to height.', 'start': 3266.805, 'duration': 5.842}, {'end': 3274.848, 'text': 'As I said, 182, 178, 168, 150, 160, 170, anything.', 'start': 3273.068, 'duration': 1.78}, {'end': 3279.809, 'text': 'Similarly with respect to weight, I can have any values like 78, 99, 100, 60, 50, anything that I want.', 'start': 3274.888, 'duration': 4.921}], 'summary': 'Variables like height and weight can have various values, e.g. 170cm, 185cm, 78kg, 99kg.', 'duration': 27.632, 'max_score': 3252.177, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ3252177.jpg'}, {'end': 3439.338, 'src': 'embed', 'start': 3402.051, 'weight': 4, 'content': [{'end': 3408.834, 'text': "Okay Now, in qualitative and categorical variables, if I specifically take an example, let's consider gender.", 'start': 3402.051, 'duration': 6.783}, {'end': 3411.876, 'text': 'In gender, I have male and female.', 'start': 3410.195, 'duration': 1.681}, {'end': 3416.038, 'text': 'Okay, Now, what does this basically mean?', 'start': 3413.677, 'duration': 2.361}, {'end': 3434.196, 'text': 'Based on some characteristics, based on some characteristics, We can, based on this, some characteristics, we can derive some categorical variable.', 'start': 3416.718, 'duration': 17.478}, {'end': 3439.338, 'text': 'We can derive some categorical variable.', 'start': 3435.897, 'duration': 3.441}], 'summary': 'Qualitative variables like gender can be used to derive categorical variables.', 'duration': 37.287, 'max_score': 3402.051, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ3402051.jpg'}, {'end': 3601.407, 'src': 'embed', 'start': 3568.805, 'weight': 3, 'content': [{'end': 3572.127, 'text': 'Quantitative also has two different kind of categories.', 'start': 3568.805, 'duration': 3.322}, {'end': 3578.338, 'text': 'Obviously, we know quantitative basically means we have some numerical values.', 'start': 3574.716, 'duration': 3.622}, {'end': 3580.999, 'text': 'Here, I am going to divide this into two one.', 'start': 3578.978, 'duration': 2.021}, {'end': 3586.181, 'text': 'One is the discrete variables and one is the continuous variable.', 'start': 3581.619, 'duration': 4.562}, {'end': 3593.404, 'text': 'So discrete variables and continuous variable.', 'start': 3591.383, 'duration': 2.021}, {'end': 3597.185, 'text': 'In discrete variable, you will specifically have a whole number.', 'start': 3593.504, 'duration': 3.681}, {'end': 3601.407, 'text': 'Okay Whole number.', 'start': 3599.986, 'duration': 1.421}], 'summary': 'Quantitative data has two categories: discrete variables and continuous variables.', 'duration': 32.602, 'max_score': 3568.805, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ3568805.jpg'}], 'start': 3139.745, 'title': 'Basics of data collection and understanding variables', 'summary': 'Covers the importance of experimenting with multiple variables, understanding the basics of data collection, and distinguishing between quantitative and qualitative variables, emphasizing the need for effective data analysis and manipulation.', 'chapters': [{'end': 3211.322, 'start': 3139.745, 'title': 'Introduction to basics of data collection', 'summary': 'Highlights the importance of experimenting with multiple variables in data collection scenarios and emphasizes the need to understand the basics to perform various tasks, with a call for support and engagement from the audience.', 'duration': 71.577, 'highlights': ['The importance of experimenting with multiple variables in data collection scenarios.', 'The emphasis on understanding the basics to perform various tasks.', 'The call for support and engagement from the audience.']}, {'end': 3664.67, 'start': 3211.943, 'title': 'Understanding variables and types', 'summary': 'Explains the concept of variables, distinguishing between quantitative and qualitative variables, and outlining examples and properties of each, emphasizing the importance of understanding the different types for effective data analysis and manipulation.', 'duration': 452.727, 'highlights': ['Variables can take on any value, such as height and weight, and are categorized as quantitative or qualitative based on their properties, with quantitative variables being measurable numerically and allowing for mathematical operations like addition and subtraction. The concept of variables is explained, emphasizing that they can take on any value, such as height and weight, and are categorized as quantitative or qualitative based on their properties. Quantitative variables are measurable numerically and allow for mathematical operations like addition and subtraction.', 'Qualitative or categorical variables, like gender or IQ, are based on characteristics and do not allow for mathematical operations, but rather are classified into multiple categories based on certain properties. Qualitative or categorical variables, like gender or IQ, are based on characteristics and do not allow for mathematical operations, but rather are classified into multiple categories based on certain properties.', 'Quantitative variables are further divided into discrete and continuous variables, with discrete variables consisting of whole numbers, while continuous variables can take on any value within a range. Quantitative variables are further divided into discrete and continuous variables, with discrete variables consisting of whole numbers, while continuous variables can take on any value within a range.']}], 'duration': 524.925, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ3139745.jpg', 'highlights': ['The importance of experimenting with multiple variables in data collection scenarios.', 'The emphasis on understanding the basics to perform various tasks.', 'Variables can take on any value, such as height and weight, and are categorized as quantitative or qualitative based on their properties.', 'Quantitative variables are measurable numerically and allow for mathematical operations like addition and subtraction.', 'Qualitative or categorical variables, like gender or IQ, are based on characteristics and do not allow for mathematical operations.', 'Quantitative variables are further divided into discrete and continuous variables, with discrete variables consisting of whole numbers, while continuous variables can take on any value within a range.', 'The call for support and engagement from the audience.']}, {'end': 4371.805, 'segs': [{'end': 3787.602, 'src': 'embed', 'start': 3691.227, 'weight': 0, 'content': [{'end': 3692.268, 'text': 'I can say 99.5 kgs.', 'start': 3691.227, 'duration': 1.041}, {'end': 3693.649, 'text': 'I may say 99.75 kgs.', 'start': 3692.288, 'duration': 1.361}, {'end': 3701.967, 'text': 'I can also talk about amount of rainfall, which is measured in inches.', 'start': 3698.846, 'duration': 3.121}, {'end': 3711.128, 'text': 'Suppose I say it is 1.1 inches, 1.25 inches, 1.35 inches, right? All these things are basically there.', 'start': 3702.547, 'duration': 8.581}, {'end': 3715.249, 'text': 'Okay? So this was an example with respect to continuous variables.', 'start': 3711.469, 'duration': 3.78}, {'end': 3718.09, 'text': 'I hope everybody has understood it.', 'start': 3716.77, 'duration': 1.32}, {'end': 3720.93, 'text': 'Yes? Okay.', 'start': 3719.57, 'duration': 1.36}, {'end': 3724.591, 'text': "Now, I'll give you some examples.", 'start': 3722.131, 'duration': 2.46}, {'end': 3726.031, 'text': 'You answer me.', 'start': 3725.271, 'duration': 0.76}, {'end': 3738.203, 'text': 'Okay?. What kind of variable gender is ok?', 'start': 3726.512, 'duration': 11.691}, {'end': 3752.876, 'text': 'second question what kind of variable marital status is ok?', 'start': 3738.203, 'duration': 14.673}, {'end': 3759.942, 'text': 'what kind of variable river length is?', 'start': 3752.876, 'duration': 7.066}, {'end': 3764.23, 'text': 'what kind of variable The population of a status?', 'start': 3759.942, 'duration': 4.288}, {'end': 3779.798, 'text': 'Okay What kind of variable song length is? Okay.', 'start': 3770.953, 'duration': 8.845}, {'end': 3781.839, 'text': 'Now quickly try to answer me.', 'start': 3780.418, 'duration': 1.421}, {'end': 3784.82, 'text': 'My God, discrete categorical.', 'start': 3783.159, 'duration': 1.661}, {'end': 3786.201, 'text': "Don't write like this guys.", 'start': 3785.2, 'duration': 1.001}, {'end': 3787.602, 'text': 'First say gender is this one.', 'start': 3786.241, 'duration': 1.361}], 'summary': 'Transcript discusses weight, rainfall in inches, and variable types.', 'duration': 96.375, 'max_score': 3691.227, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ3691227.jpg'}, {'end': 3858.439, 'src': 'embed', 'start': 3818.237, 'weight': 6, 'content': [{'end': 3824.138, 'text': 'If I want to say discrete continuous or normal continuous, it will be a continuous quantitative variable.', 'start': 3818.237, 'duration': 5.901}, {'end': 3827.498, 'text': 'Okay Population of the state, it will be discrete.', 'start': 3824.218, 'duration': 3.28}, {'end': 3832.88, 'text': 'Right And song length will also be continuous.', 'start': 3828.759, 'duration': 4.121}, {'end': 3839.601, 'text': 'Right Gender is categorical.', 'start': 3836, 'duration': 3.601}, {'end': 3846.351, 'text': 'What kind of variable blood pressure is? Last question for you all.', 'start': 3842.509, 'duration': 3.842}, {'end': 3851.354, 'text': 'Blood pressure, it will also be continuous.', 'start': 3849.333, 'duration': 2.021}, {'end': 3857.018, 'text': 'Okay? Perfect.', 'start': 3853.296, 'duration': 3.722}, {'end': 3858.439, 'text': 'You all are amazing.', 'start': 3857.258, 'duration': 1.181}], 'summary': 'Transcript covers variable types: 2 continuous, 1 discrete, 1 categorical.', 'duration': 40.202, 'max_score': 3818.237, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ3818237.jpg'}, {'end': 4052.009, 'src': 'embed', 'start': 4030.961, 'weight': 2, 'content': [{'end': 4040.104, 'text': "I'm going to give you a lot of examples and why it is very much necessary to know this kind of measured variables, what type of measurement variables,", 'start': 4030.961, 'duration': 9.143}, {'end': 4042.745, 'text': 'because your data set will also have this kind of variables.', 'start': 4040.104, 'duration': 2.641}, {'end': 4044.326, 'text': "You'll have nominal data.", 'start': 4043.225, 'duration': 1.101}, {'end': 4045.386, 'text': "you'll have ordinal data.", 'start': 4044.326, 'duration': 1.06}, {'end': 4052.009, 'text': "you'll have internal data sorry, interval data ratio related data, so that you'll be able to do a good data analysis.", 'start': 4045.386, 'duration': 6.623}], 'summary': 'Understanding different types of measured variables is crucial for effective data analysis.', 'duration': 21.048, 'max_score': 4030.961, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ4030961.jpg'}, {'end': 4188.923, 'src': 'heatmap', 'start': 4075.927, 'weight': 0.902, 'content': [{'end': 4077.707, 'text': 'Colors, color is one example.', 'start': 4075.927, 'duration': 1.78}, {'end': 4084.829, 'text': 'You have example gender, you have example different things, type of flower.', 'start': 4078.928, 'duration': 5.901}, {'end': 4092.028, 'text': 'So, these are some of the examples with respect to the nominal data.', 'start': 4088.206, 'duration': 3.822}, {'end': 4101.394, 'text': 'Okay Because the first thing I have heard this interviewer asking what is the difference between ordinal and nominal data.', 'start': 4092.448, 'duration': 8.946}, {'end': 4106.055, 'text': 'Okay Now, let us go ahead and let us discuss about ordinal data.', 'start': 4101.913, 'duration': 4.142}, {'end': 4110.279, 'text': 'In order to understand ordinal data, I would like to say some example.', 'start': 4107.256, 'duration': 3.023}, {'end': 4119.001, 'text': 'Here, over here in this particular data, The order of the values, the order of the data matters.', 'start': 4110.359, 'duration': 8.642}, {'end': 4120.701, 'text': "I'll talk about it.", 'start': 4119.921, 'duration': 0.78}, {'end': 4124.301, 'text': 'The order of the data matters, but value does not.', 'start': 4120.961, 'duration': 3.34}, {'end': 4127.383, 'text': 'Value does not.', 'start': 4126.462, 'duration': 0.921}, {'end': 4130.124, 'text': "I'll talk about it, why I'm saying value does not.", 'start': 4128.063, 'duration': 2.061}, {'end': 4132.344, 'text': "Let's say one example.", 'start': 4131.004, 'duration': 1.34}, {'end': 4135.625, 'text': "Let's say that I have five students.", 'start': 4134.045, 'duration': 1.58}, {'end': 4149.827, 'text': 'And here the marks of the students, student marks are like 100, 96, 57, 85 and 44.', 'start': 4137.801, 'duration': 12.026}, {'end': 4153.068, 'text': 'Now tell me over here if I just try to find out the rank.', 'start': 4149.827, 'duration': 3.241}, {'end': 4157.67, 'text': 'Rank basically means who is having the highest marks will get the first rank.', 'start': 4153.287, 'duration': 4.383}, {'end': 4164.813, 'text': '96 will then get second, this 85 will get third and this we will get as fourth and this, finally, will get as fifth.', 'start': 4157.67, 'duration': 7.143}, {'end': 4169.835, 'text': 'This data that we specifically have is my ordinal data.', 'start': 4165.872, 'duration': 3.963}, {'end': 4177.078, 'text': 'Here we focus more on the order, not on the values.', 'start': 4172.555, 'duration': 4.523}, {'end': 4180.299, 'text': 'Here we mostly focus on this ranks.', 'start': 4177.678, 'duration': 2.621}, {'end': 4185.941, 'text': 'We are not worried like what marks that particular person has got.', 'start': 4181.56, 'duration': 4.381}, {'end': 4188.923, 'text': 'Yes, he has got the first rank.', 'start': 4186.362, 'duration': 2.561}], 'summary': 'Ordinal data focuses on the order, not the values; for example, ranking students based on their marks.', 'duration': 112.996, 'max_score': 4075.927, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ4075927.jpg'}, {'end': 4149.827, 'src': 'embed', 'start': 4110.359, 'weight': 3, 'content': [{'end': 4119.001, 'text': 'Here, over here in this particular data, The order of the values, the order of the data matters.', 'start': 4110.359, 'duration': 8.642}, {'end': 4120.701, 'text': "I'll talk about it.", 'start': 4119.921, 'duration': 0.78}, {'end': 4124.301, 'text': 'The order of the data matters, but value does not.', 'start': 4120.961, 'duration': 3.34}, {'end': 4127.383, 'text': 'Value does not.', 'start': 4126.462, 'duration': 0.921}, {'end': 4130.124, 'text': "I'll talk about it, why I'm saying value does not.", 'start': 4128.063, 'duration': 2.061}, {'end': 4132.344, 'text': "Let's say one example.", 'start': 4131.004, 'duration': 1.34}, {'end': 4135.625, 'text': "Let's say that I have five students.", 'start': 4134.045, 'duration': 1.58}, {'end': 4149.827, 'text': 'And here the marks of the students, student marks are like 100, 96, 57, 85 and 44.', 'start': 4137.801, 'duration': 12.026}], 'summary': 'Order of data matters, value does not. example: 100, 96, 57, 85, 44.', 'duration': 39.468, 'max_score': 4110.359, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ4110359.jpg'}, {'end': 4260.437, 'src': 'embed', 'start': 4228.845, 'weight': 4, 'content': [{'end': 4239.153, 'text': 'you can basically say that ordinal data will be present and we also use a different technique to analyze those data and probably we try to.', 'start': 4228.845, 'duration': 10.308}, {'end': 4244.178, 'text': 'probably when we will be seeing some data set in the future, we will probably try to see that okay scenarios also.', 'start': 4239.153, 'duration': 5.025}, {'end': 4249.222, 'text': 'Okay, now interval data, here the order matters.', 'start': 4245.078, 'duration': 4.144}, {'end': 4255.073, 'text': 'Okay Here the value also matters.', 'start': 4251.471, 'duration': 3.602}, {'end': 4260.437, 'text': 'Value also matters.', 'start': 4259.456, 'duration': 0.981}], 'summary': 'Ordinal and interval data analyzed using different techniques.', 'duration': 31.592, 'max_score': 4228.845, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ4228845.jpg'}, {'end': 4289.192, 'src': 'heatmap', 'start': 4228.845, 'weight': 1, 'content': [{'end': 4239.153, 'text': 'you can basically say that ordinal data will be present and we also use a different technique to analyze those data and probably we try to.', 'start': 4228.845, 'duration': 10.308}, {'end': 4244.178, 'text': 'probably when we will be seeing some data set in the future, we will probably try to see that okay scenarios also.', 'start': 4239.153, 'duration': 5.025}, {'end': 4249.222, 'text': 'Okay, now interval data, here the order matters.', 'start': 4245.078, 'duration': 4.144}, {'end': 4255.073, 'text': 'Okay Here the value also matters.', 'start': 4251.471, 'duration': 3.602}, {'end': 4260.437, 'text': 'Value also matters.', 'start': 4259.456, 'duration': 0.981}, {'end': 4264.36, 'text': 'And one thing is that your natural zero is not present.', 'start': 4261.338, 'duration': 3.022}, {'end': 4266.061, 'text': "I'll talk about this also.", 'start': 4265.04, 'duration': 1.021}, {'end': 4268.582, 'text': 'Natural zero is not present.', 'start': 4266.861, 'duration': 1.721}, {'end': 4272.605, 'text': 'Okay What is this natural zero? Okay.', 'start': 4269.843, 'duration': 2.762}, {'end': 4274.226, 'text': 'Your order also matters.', 'start': 4273.145, 'duration': 1.081}, {'end': 4275.127, 'text': 'Values also matter.', 'start': 4274.266, 'duration': 0.861}, {'end': 4279.93, 'text': "So if I take an example of interval, let's say that I have an interval of temperatures.", 'start': 4275.167, 'duration': 4.763}, {'end': 4289.192, 'text': "And let's consider Fahrenheit, okay? Fahrenheit temperature, I'm just talking about.", 'start': 4282.95, 'duration': 6.242}], 'summary': 'Ordinal and interval data analyzed with different techniques, considering order and value importance, no natural zero for interval data.', 'duration': 60.347, 'max_score': 4228.845, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ4228845.jpg'}], 'start': 3665.431, 'title': 'Types of variables and measurement scales', 'summary': 'Explains continuous and discrete variables using examples like height, weight, and rainfall, and discusses the nature of variables such as gender, marital status, river length, population, song length, blood pressure, and pin code. it also covers the four types of measured variables: nominal, ordinal, interval, and ratio, with examples and applications, emphasizing the importance of understanding these variables for data analysis.', 'chapters': [{'end': 3958.958, 'start': 3665.431, 'title': 'Types of variables and examples', 'summary': 'Explains the concept of continuous and discrete variables using examples like height, weight, and rainfall, and discusses the nature of variables such as gender, marital status, river length, population, song length, blood pressure, and pin code.', 'duration': 293.527, 'highlights': ['The chapter explains the concept of continuous and discrete variables using examples like height, weight, and rainfall. The chapter discusses various examples of continuous variables such as height, weight, and amount of rainfall, illustrating the concept with specific measurements like 172.5 centimeters, 100 kgs, and 1.35 inches.', 'Discusses the nature of variables such as gender, marital status, river length, population, song length, blood pressure, and PIN code. The chapter provides insights into the nature of different variables such as gender (categorical), marital status (categorical), river length (continuous), population (discrete), song length (continuous), blood pressure (continuous), and PIN code (to be determined in future classes).']}, {'end': 4371.805, 'start': 3959.358, 'title': 'Variable measurement scales', 'summary': 'Covers the four types of measured variables: nominal, ordinal, interval, and ratio, with examples and applications, emphasizing the importance of understanding these variables for data analysis.', 'duration': 412.447, 'highlights': ['The chapter explains the four types of measured variables: Nominal, Ordinal, Interval, and Ratio, with examples like colors, gender, and temperature intervals, emphasizing the importance of understanding these variables for data analysis. The chapter covers the four types of measured variables: Nominal, Ordinal, Interval, and Ratio, with examples and applications, emphasizing the importance of understanding these variables for data analysis.', 'Ordinal data focuses on the order of values, not the actual values, illustrated with an example of ranking students based on marks, emphasizing the significance of order over values for this type of data. Ordinal data focuses on the order of values, not the actual values, illustrated with an example of ranking students based on marks, emphasizing the significance of order over values for this type of data.', 'Interval data considers both order and value, with examples such as temperature intervals, emphasizing the absence of a natural zero and the significance of order and values in this type of data. Interval data considers both order and value, with examples such as temperature intervals, emphasizing the absence of a natural zero and the significance of order and values in this type of data.', 'The chapter emphasizes the practical applications of interval data, such as distance intervals and cab booking durations, highlighting the relevance and usage of interval data in real-life scenarios. The chapter emphasizes the practical applications of interval data, such as distance intervals and cab booking durations, highlighting the relevance and usage of interval data in real-life scenarios.']}], 'duration': 706.374, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ3665431.jpg', 'highlights': ['The chapter explains the concept of continuous and discrete variables using examples like height, weight, and rainfall.', 'The chapter discusses various examples of continuous variables such as height, weight, and amount of rainfall, illustrating the concept with specific measurements like 172.5 centimeters, 100 kgs, and 1.35 inches.', 'The chapter explains the four types of measured variables: Nominal, Ordinal, Interval, and Ratio, with examples like colors, gender, and temperature intervals, emphasizing the importance of understanding these variables for data analysis.', 'Ordinal data focuses on the order of values, not the actual values, illustrated with an example of ranking students based on marks, emphasizing the significance of order over values for this type of data.', 'Interval data considers both order and value, with examples such as temperature intervals, emphasizing the absence of a natural zero and the significance of order and values in this type of data.', 'The chapter emphasizes the practical applications of interval data, such as distance intervals and cab booking durations, highlighting the relevance and usage of interval data in real-life scenarios.', 'The chapter provides insights into the nature of different variables such as gender (categorical), marital status (categorical), river length (continuous), population (discrete), song length (continuous), blood pressure (continuous), and PIN code (to be determined in future classes).', 'Discusses the nature of variables such as gender, marital status, river length, population, song length, blood pressure, and PIN code.']}, {'end': 5355.787, 'segs': [{'end': 4399.79, 'src': 'embed', 'start': 4372.426, 'weight': 0, 'content': [{'end': 4375.067, 'text': 'The fourth type that you basically have ratio.', 'start': 4372.426, 'duration': 2.641}, {'end': 4377.668, 'text': 'ratio data.', 'start': 4376.286, 'duration': 1.382}, {'end': 4387.378, 'text': 'you need to tell me the answer for tomorrow what exactly ratio data is and whether their natural zero will be present, whether order matters,', 'start': 4377.668, 'duration': 9.71}, {'end': 4390.762, 'text': 'whether or value matters, and all okay.', 'start': 4387.378, 'duration': 3.384}, {'end': 4393.144, 'text': 'so in this particular case, you have to basically talk about.', 'start': 4390.762, 'duration': 2.382}, {'end': 4395.447, 'text': 'this will be an assignment to you.', 'start': 4393.144, 'duration': 2.303}, {'end': 4398.09, 'text': 'this will be an assignment because i have to also give you some assignments.', 'start': 4395.447, 'duration': 2.643}, {'end': 4399.79, 'text': "I'm only doing the hard work.", 'start': 4398.69, 'duration': 1.1}], 'summary': 'Discussing the concept of ratio data and its characteristics for an upcoming assignment.', 'duration': 27.364, 'max_score': 4372.426, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ4372426.jpg'}, {'end': 4502.31, 'src': 'embed', 'start': 4473.086, 'weight': 1, 'content': [{'end': 4483.001, 'text': 'Okay Now, similarly in this particular dataset, I have a lot of flowers like rose, lily, sunflower, Then again, I have Rose.', 'start': 4473.086, 'duration': 9.915}, {'end': 4485.242, 'text': 'Then again, I have Lily.', 'start': 4484.161, 'duration': 1.081}, {'end': 4487.143, 'text': 'Then again, I have Lily.', 'start': 4486.182, 'duration': 0.961}, {'end': 4491.685, 'text': "Okay So suppose let's consider that this is my entire data set.", 'start': 4487.343, 'duration': 4.342}, {'end': 4502.31, 'text': 'Now, usually for showcasing this data set in some kind of visualized manner, we can basically use this frequency distribution table.', 'start': 4492.385, 'duration': 9.925}], 'summary': 'The dataset contains multiple types of flowers, with 2 roses and 3 lilies, and can be visualized using a frequency distribution table.', 'duration': 29.224, 'max_score': 4473.086, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ4473086.jpg'}, {'end': 4666.542, 'src': 'heatmap', 'start': 4601.036, 'weight': 0.7, 'content': [{'end': 4611.948, 'text': 'Okay? Clear guys? Everyone? Yes? So this is basically the cumulative frequency.', 'start': 4601.036, 'duration': 10.912}, {'end': 4615.93, 'text': "Now what we can basically derive from this, I'll just show you an example.", 'start': 4612.408, 'duration': 3.522}, {'end': 4620.593, 'text': "There's something called as bar graphs and pie charts.", 'start': 4616.531, 'duration': 4.062}, {'end': 4623.814, 'text': "So that particular part now we'll try to draw from this okay?", 'start': 4621.073, 'duration': 2.741}, {'end': 4625.455, 'text': "And we'll try to see that.", 'start': 4624.395, 'duration': 1.06}, {'end': 4626.656, 'text': 'how does it look like okay?', 'start': 4625.455, 'duration': 1.201}, {'end': 4630.318, 'text': 'So in the case of discrete variables, okay?', 'start': 4627.396, 'duration': 2.922}, {'end': 4636.88, 'text': 'we can definitely draw a bar chart.', 'start': 4634.958, 'duration': 1.922}, {'end': 4643.526, 'text': 'If the variable is continuous, at that point of time, we can draw a continuous, we can draw a histogram.', 'start': 4637.44, 'duration': 6.086}, {'end': 4648.451, 'text': 'So let me just talk about bar graph, okay? So first one is the bar graph.', 'start': 4643.966, 'duration': 4.485}, {'end': 4660.722, 'text': 'In bar graph, in the x-axis, I will probably have all my flowers, okay? So this one is rose, this is lily, and this is sunflower.', 'start': 4650.252, 'duration': 10.47}, {'end': 4666.542, 'text': 'Okay In the Y axis, I will probably have frequency.', 'start': 4662.901, 'duration': 3.641}], 'summary': 'Teaching about cumulative frequency and types of graphs for discrete and continuous variables.', 'duration': 65.506, 'max_score': 4601.036, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ4601036.jpg'}, {'end': 4800.486, 'src': 'embed', 'start': 4769.878, 'weight': 2, 'content': [{'end': 4771.859, 'text': 'Now here you know that it is a continuous value.', 'start': 4769.878, 'duration': 1.981}, {'end': 4779.161, 'text': 'Now, in the case of continuous value, if you want to represent it through some diagrams for the data analysis purpose,', 'start': 4772.459, 'duration': 6.702}, {'end': 4783.282, 'text': 'you can basically use something called as histograms.', 'start': 4779.161, 'duration': 4.121}, {'end': 4787.924, 'text': 'You can basically use histograms.', 'start': 4786.263, 'duration': 1.661}, {'end': 4791.359, 'text': 'So the histogram will have like this.', 'start': 4789.758, 'duration': 1.601}, {'end': 4794.422, 'text': 'Now understand one very important thing.', 'start': 4792.42, 'duration': 2.002}, {'end': 4797.824, 'text': 'In histogram, we make something called as bins.', 'start': 4794.522, 'duration': 3.302}, {'end': 4800.486, 'text': 'Bins basically means we make some kind of grouping.', 'start': 4798.204, 'duration': 2.282}], 'summary': 'Histograms are used to represent continuous data through bins for data analysis.', 'duration': 30.608, 'max_score': 4769.878, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ4769878.jpg'}, {'end': 4880.75, 'src': 'heatmap', 'start': 4825.631, 'weight': 0.795, 'content': [{'end': 4832.575, 'text': '30, 40, 50, 60, 70, 80, 90.', 'start': 4825.631, 'duration': 6.944}, {'end': 4834.177, 'text': 'You can change the bin value also.', 'start': 4832.576, 'duration': 1.601}, {'end': 4837.719, 'text': 'Dhruv Sharma is becoming mad I guess.', 'start': 4835.197, 'duration': 2.522}, {'end': 4841.282, 'text': 'I am going to hide this user or put the user in timeout.', 'start': 4838.44, 'duration': 2.842}, {'end': 4848.853, 'text': "Okay I think he is a big fan of I don't know.", 'start': 4843.944, 'duration': 4.909}, {'end': 4851.615, 'text': 'People should come over here to focus on the classes.', 'start': 4848.873, 'duration': 2.742}, {'end': 4854.797, 'text': 'Okay Anyhow, I have removed him.', 'start': 4851.835, 'duration': 2.962}, {'end': 4858.08, 'text': "Okay So now let's go ahead and let's try to understand.", 'start': 4855.058, 'duration': 3.022}, {'end': 4862.683, 'text': "Between 0 to 10, between 0 to 10, I don't have any value.", 'start': 4858.84, 'duration': 3.843}, {'end': 4863.744, 'text': "So I'm not going to create it.", 'start': 4862.703, 'duration': 1.041}, {'end': 4866.465, 'text': "So let's see that 1 is there.", 'start': 4863.824, 'duration': 2.641}, {'end': 4868.367, 'text': '2 is there.', 'start': 4866.485, 'duration': 1.882}, {'end': 4870.848, 'text': '3 is there.', 'start': 4868.387, 'duration': 2.461}, {'end': 4871.969, 'text': '4 is there.', 'start': 4870.868, 'duration': 1.101}, {'end': 4872.81, 'text': 'And 5 is there.', 'start': 4871.989, 'duration': 0.821}, {'end': 4874.331, 'text': 'Okay So this is my frequency count.', 'start': 4872.91, 'duration': 1.421}, {'end': 4880.75, 'text': 'Now, between 10 to 20, I have how many values? 1, 2, 3, 4.', 'start': 4875.347, 'duration': 5.403}], 'summary': 'Frequency count of values from 0-20: 5 values from 0-10, 4 values from 10-20.', 'duration': 55.119, 'max_score': 4825.631, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ4825631.jpg'}, {'end': 5147.754, 'src': 'embed', 'start': 5119.884, 'weight': 3, 'content': [{'end': 5122.706, 'text': 'iNeuron has come up with this OneNeuron platform.', 'start': 5119.884, 'duration': 2.822}, {'end': 5131.487, 'text': 'There we are giving lifetime 100 plus tech courses and probably in the year it will become total 1000 plus courses.', 'start': 5123.843, 'duration': 7.644}, {'end': 5135.088, 'text': 'All the information is given in the description of this particular video.', 'start': 5132.187, 'duration': 2.901}, {'end': 5142.752, 'text': 'You can also use Krish10 for 10% discount and right now it is completely for lifetime.', 'start': 5135.488, 'duration': 7.264}, {'end': 5144.693, 'text': 'So utilize this opportunity.', 'start': 5143.252, 'duration': 1.441}, {'end': 5146.253, 'text': 'Join it.', 'start': 5145.653, 'duration': 0.6}, {'end': 5147.754, 'text': 'And yes, enjoy it.', 'start': 5146.794, 'duration': 0.96}], 'summary': "Ineuron's oneneuron platform offers 100+ tech courses for a lifetime, with the potential to expand to 1000+ courses in a year. use code krish10 for 10% discount.", 'duration': 27.87, 'max_score': 5119.884, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ5119884.jpg'}, {'end': 5300.007, 'src': 'embed', 'start': 5270.566, 'weight': 4, 'content': [{'end': 5272.287, 'text': 'it is completely for free.', 'start': 5270.566, 'duration': 1.721}, {'end': 5275.787, 'text': 'okay, enroll in the uh, community course.', 'start': 5272.287, 'duration': 3.5}, {'end': 5276.627, 'text': 'it is for free.', 'start': 5275.787, 'duration': 0.84}, {'end': 5278.608, 'text': 'yes, you can register from nigeria.', 'start': 5276.627, 'duration': 1.981}, {'end': 5280.788, 'text': 'you can register from everything.', 'start': 5278.608, 'duration': 2.18}, {'end': 5285.229, 'text': 'so community session, i am going to community stats one.', 'start': 5280.788, 'duration': 4.441}, {'end': 5287.282, 'text': "I'm going to save it.", 'start': 5286.482, 'duration': 0.8}, {'end': 5290.864, 'text': 'Yes, material will also be available.', 'start': 5289.303, 'duration': 1.561}, {'end': 5291.824, 'text': 'Everything will be available.', 'start': 5290.944, 'duration': 0.88}, {'end': 5296.666, 'text': 'Okay Yes, you can see this video again on YouTube.', 'start': 5293.104, 'duration': 3.562}, {'end': 5300.007, 'text': 'Okay It will be present in my statistics playlist.', 'start': 5297.026, 'duration': 2.981}], 'summary': 'Free community course available for registration from nigeria, with material and videos accessible.', 'duration': 29.441, 'max_score': 5270.566, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ5270566.jpg'}], 'start': 4372.426, 'title': 'Understanding data concepts', 'summary': "Covers understanding ratio data with a 10 to 15 minutes task, explains frequency distribution and cumulative frequency using flower dataset, and delves into histograms creation and benefits of ineuron's oneneuron platform.", 'chapters': [{'end': 4420.676, 'start': 4372.426, 'title': 'Understanding ratio data', 'summary': 'Focuses on understanding ratio data, including the presence of natural zero, the importance of order and value, and assigns a task for further comprehension, with a 10 to 15 minutes continuation.', 'duration': 48.25, 'highlights': ['The chapter emphasizes understanding ratio data, including the presence of a natural zero, the significance of order and value, and assigns a task for further comprehension.', 'The instructor mentions giving assignments and expresses frustration at being the only one doing hard work, while also jesting about students only clicking the like button.', 'The instructor anticipates continuing the session for another 10 to 15 minutes.']}, {'end': 4702.813, 'start': 4421.136, 'title': 'Frequency distribution and cumulative frequency', 'summary': 'Explains the concepts of frequency distribution, cumulative frequency, and their visualization through bar charts and pie charts, using an example of a dataset with three types of flowers: rose, lily, and sunflower.', 'duration': 281.677, 'highlights': ['Frequency distribution table can be used to showcase the count of different categories in a dataset, such as the number of roses, lilies, and sunflowers, for visualization through bar charts and pie charts. The frequency distribution table showcases the count of different categories in a dataset, providing an example of the number of roses, lilies, and sunflowers and how it can be visualized through bar charts and pie charts.', 'Cumulative frequency adds up the frequency of each category, providing a total count of all items in the dataset, which can be visualized to understand the distribution of the data. Cumulative frequency adds up the frequency of each category, giving a total count of all items in the dataset and enabling visualization to understand the data distribution.', 'Bar charts can be used to visualize the frequency of different categories, such as the number of roses, lilies, and sunflowers in the dataset. Bar charts are used to visualize the frequency of different categories, providing a visual representation of the number of roses, lilies, and sunflowers in the dataset.']}, {'end': 5355.787, 'start': 4704.113, 'title': 'Understanding histograms in descriptive statistics', 'summary': "Explains the concept of histograms for representing continuous data, emphasizing the creation process, binning, frequency distribution, and the relationship with pdf, while also addressing the distinction between bar graphs and histograms and highlighting the benefits of enrolling in ineuron's oneneuron platform.", 'duration': 651.674, 'highlights': ['The chapter introduces the concept of histograms for representing continuous data, emphasizing the process of binning and frequency distribution, providing an example of age data and explaining the relationship with PDF.', 'It explains the distinction between bar graphs and histograms, highlighting the usage of bar graphs for discrete data and histograms for continuous data.', "The instructor promotes the benefits of enrolling in iNeuron's OneNeuron platform, emphasizing the availability of 100+ tech courses and the extended lifetime validity at a discounted price using the code 'Krish10'.", 'The instructor encourages the audience to join the free community course, emphasizing the availability of course materials, live community sessions, and written notes, along with the opportunity to access class recordings and video uploads.', "The chapter concludes with a preview of upcoming topics, including mean, median, mode, standard deviation, percentile, quartiles, effects of outliers, normal distribution, Z scores, probability, and permutation, while promoting the use of iNeuron's OneNeuron platform."]}], 'duration': 983.361, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/11unm2hmvOQ/pics/11unm2hmvOQ4372426.jpg', 'highlights': ['The chapter emphasizes understanding ratio data, including the presence of a natural zero and the significance of order and value.', 'Frequency distribution table showcases the count of different categories in a dataset, providing an example of roses, lilies, and sunflowers.', 'The chapter introduces the concept of histograms for representing continuous data, emphasizing the process of binning and frequency distribution.', "The instructor promotes the benefits of enrolling in iNeuron's OneNeuron platform, emphasizing the availability of 100+ tech courses and extended lifetime validity.", 'The instructor encourages the audience to join the free community course, emphasizing the availability of course materials and live community sessions.']}], 'highlights': ['The 7-day stats learning session covers various topics including statistics, blockchain, Android, DSA, DevOps, Python, Power BI, SQL projects, drone robotics, AI, and edge devices.', 'The session promises to include theoretical and coding demonstrations, with all material to be written and solved live, eschewing the use of PPTs.', 'The chapter covers various statistical tests like Z test, T test, ANOVA test, chi-square test, and hypothesis testing, including their execution in Python, with a session duration of one to one and a half hours.', 'The course covers foundational concepts in data science, such as descriptive and inferential statistics, essential for understanding data analysis and decision making.', 'The importance of statistics in making data-driven decisions is emphasized, as it enables the improvement of products and business goals based on the vast amount of data available.', 'The concept of population and sample in statistics is explained using the example of elections in Goa and Uttar Pradesh.', 'The importance of domain expertise in convenience sampling ensures relevant and valuable data for decision-making.', 'The emphasis on understanding the basics to perform various tasks.', 'Variables can take on any value, such as height and weight, and are categorized as quantitative or qualitative based on their properties.', 'The chapter explains the concept of continuous and discrete variables using examples like height, weight, and rainfall.', 'The chapter discusses various examples of continuous variables such as height, weight, and amount of rainfall, illustrating the concept with specific measurements like 172.5 centimeters, 100 kgs, and 1.35 inches.', 'The chapter explains the four types of measured variables: Nominal, Ordinal, Interval, and Ratio, with examples like colors, gender, and temperature intervals, emphasizing the importance of understanding these variables for data analysis.', 'The chapter emphasizes the practical applications of interval data, such as distance intervals and cab booking durations, highlighting the relevance and usage of interval data in real-life scenarios.', 'The chapter provides insights into the nature of different variables such as gender (categorical), marital status (categorical), river length (continuous), population (discrete), song length (continuous), blood pressure (continuous), and PIN code (to be determined in future classes).', 'The chapter introduces the concept of histograms for representing continuous data, emphasizing the process of binning and frequency distribution.']}