title
How to Build a Compelling Data Science Portfolio & Resume | Kaggle

description
Learn how to craft and tailor your Data Science resume to get noticed by Hiring Managers. Learn what to include, what not to include, and how to prioritize what to mention. SUBSCRIBE: http://www.youtube.com/user/kaggledotcom?sub_confirmation=1&utm_medium=youtube&utm_source=channel&utm_campaign=yt-sub About Kaggle: Kaggle is the world's largest community of data scientists. Join us to compete, collaborate, learn, and do your data science work. Kaggle's platform is the fastest way to get started on a new data science project. Spin up a Jupyter notebook with a single click. Build with our huge repository of free code and data. Stumped? Ask the friendly Kaggle community for help. Follow Kaggle online: Visit the WEBSITE: http://www.kaggle.com/?utm_medium=youtube&utm_source=channel&utm_campaign=yt-kg Like Kaggle on FACEBOOK: http://www.facebook.com/kaggle?utm_medium=youtube&utm_source=channel&utm_campaign=yt-fb Follow Kaggle on TWITTER: http://twitter.com/kaggle?utm_medium=youtube&utm_source=channel&utm_campaign=yt-tw Check out our BLOG: http://blog.kaggle.com/?utm_medium=youtube&utm_source=channel&utm_campaign=yt-blog Connect with us on LINKEDIN: http://www.linkedin.com/company/kaggle?utm_medium=youtube&utm_source=channel&utm_campaign=yt-lkn Advance your data science skills: Take our free online courses: http://www.kaggle.com/learn/overview?utm_medium=youtube&utm_source=channel&utm_campaign=yt-learn Get started with Kaggle Kernels: http://www.kaggle.com/docs/kernels?utm_medium=youtube&utm_source=channel&utm_campaign=yt-krnl Download clean datasets from Kaggle: http://www.kaggle.com/docs/datasets?utm_medium=youtube&utm_source=channel&utm_campaign=yt-datast Sign up for a Kaggle Competition: http://www.kaggle.com/docs/competitions?utm_medium=youtube&utm_source=channel&utm_campaign=yt-comps Explore the Kaggle Public API: http://www.kaggle.com/docs/api?utm_medium=youtube&utm_source=channel&utm_campaign=yt-docs How to Build a Compelling Data Science Portfolio & Resume | Kaggle https://www.youtube.com/watch?v=xrhPjE7wHas Kaggle http://www.youtube.com/user/kaggledotcom

detail
{'title': 'How to Build a Compelling Data Science Portfolio & Resume | Kaggle', 'heatmap': [{'end': 367.154, 'start': 271.704, 'weight': 0.701}, {'end': 441.589, 'start': 383.901, 'weight': 0.9}, {'end': 506.236, 'start': 474.193, 'weight': 0.773}, {'end': 592.355, 'start': 565.35, 'weight': 0.789}, {'end': 737.624, 'start': 678.358, 'weight': 0.921}, {'end': 779.797, 'start': 747.273, 'weight': 0.888}, {'end': 911.39, 'start': 888.109, 'weight': 0.731}], 'summary': "Provides 9 tips for building a compelling data science portfolio and resume, emphasizes simplicity and ease of scanning in resumes, and tailoring technical skills on a data science resume, aiming to capture recruiters' attention within 10-30 seconds, and offers guidance on cover letters, optimizing resumes with keywords, and integrating portfolios into one-page resumes.", 'chapters': [{'end': 218.433, 'segs': [{'end': 31.561, 'src': 'embed', 'start': 0.209, 'weight': 0, 'content': [{'end': 1.189, 'text': 'for the timed intro.', 'start': 0.209, 'duration': 0.98}, {'end': 6.59, 'text': "As Anna mentioned, I'm presenting on how to build a compelling data science portfolio and resume.", 'start': 1.749, 'duration': 4.841}, {'end': 9.031, 'text': "I'm a data science manager at Quora.", 'start': 7.45, 'duration': 1.581}, {'end': 16.172, 'text': "If you're not familiar with Quora, we're a knowledge sharing platform with over 200 million monthly unique visitors.", 'start': 9.531, 'duration': 6.641}, {'end': 18.692, 'text': 'We also have a fantastic data science community.', 'start': 16.572, 'duration': 2.12}, {'end': 23.533, 'text': "So if you're not familiar with us, join us, follow the data science topic.", 'start': 18.853, 'duration': 4.68}, {'end': 24.934, 'text': "There's some cool content on there.", 'start': 23.713, 'duration': 1.221}, {'end': 26.654, 'text': 'I post occasionally as well.', 'start': 25.554, 'duration': 1.1}, {'end': 31.561, 'text': 'So just introducing my talk for today.', 'start': 28.258, 'duration': 3.303}], 'summary': 'Presentation on building a data science portfolio and resume by a data science manager at quora, a platform with over 200 million monthly unique visitors.', 'duration': 31.352, 'max_score': 0.209, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas209.jpg'}, {'end': 72.231, 'src': 'embed', 'start': 46.092, 'weight': 2, 'content': [{'end': 52.418, 'text': 'reviewing resumes at Quora and reviewing the batch of resumes submitted by Kaggle CareerCon attendees.', 'start': 46.092, 'duration': 6.326}, {'end': 56.28, 'text': "I'm going to recap the nine tips and I'm going to leave.", 'start': 53.038, 'duration': 3.242}, {'end': 60.763, 'text': "I'm trying to leave enough time afterwards for Q&A.", 'start': 56.62, 'duration': 4.143}, {'end': 65.446, 'text': 'So please submit your Q&A via YouTube Live or Slack.', 'start': 60.823, 'duration': 4.623}, {'end': 72.231, 'text': 'Cool So the first section is motivation.', 'start': 69.869, 'duration': 2.362}], 'summary': 'Reviewing resumes at quora and kaggle careercon. recapping nine tips and allowing time for q&a.', 'duration': 26.139, 'max_score': 46.092, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas46092.jpg'}, {'end': 196.903, 'src': 'embed', 'start': 128.574, 'weight': 3, 'content': [{'end': 131.638, 'text': 'These are important basics that help you represent the best of yourself.', 'start': 128.574, 'duration': 3.064}, {'end': 138.105, 'text': 'All of the resume screenshots, except for the template example, are real screenshots from resumes submitted by you guys,', 'start': 132.339, 'duration': 5.766}, {'end': 139.386, 'text': 'the Kaggle CareerCon attendees.', 'start': 138.105, 'duration': 1.281}, {'end': 145.523, 'text': 'Cool So my first tip is length.', 'start': 142.109, 'duration': 3.414}, {'end': 148.405, 'text': 'Please keep it simple and one page max.', 'start': 146.244, 'duration': 2.161}, {'end': 156.931, 'text': 'So one page is very important, especially to just make it easier for hiring managers and recruiters to skim your resume.', 'start': 149.026, 'duration': 7.905}, {'end': 166.318, 'text': "It's much better to have a one page resume with your highlights than a two or three page CV with all of your achievements.", 'start': 158.212, 'duration': 8.106}, {'end': 171.402, 'text': 'Like keeping it one page will basically make sure you have the most impact for a quick skim.', 'start': 166.738, 'duration': 4.664}, {'end': 179.109, 'text': 'OnePage is also much better for career fairs where you can give out your page to recruiters.', 'start': 172.162, 'duration': 6.947}, {'end': 182.652, 'text': "It's also much better for all kinds of recruiting software,", 'start': 179.129, 'duration': 3.523}, {'end': 189.279, 'text': 'where recruiters and hiring managers will be able to see the full page resume without having to open the PDF and scroll down.', 'start': 182.652, 'duration': 6.627}, {'end': 192.601, 'text': 'I get some questions about LaTeX or Word.', 'start': 190.68, 'duration': 1.921}, {'end': 194.022, 'text': 'It really is up to you.', 'start': 193.021, 'duration': 1.001}, {'end': 196.903, 'text': "Use whichever one you're more comfortable with.", 'start': 194.582, 'duration': 2.321}], 'summary': 'Keep resume to one page max for impact and ease of review by recruiters and hiring managers.', 'duration': 68.329, 'max_score': 128.574, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas128574.jpg'}], 'start': 0.209, 'title': 'Building and optimizing data science portfolio and resume', 'summary': "Provides 9 tips for building a compelling data science portfolio and resume based on the speaker's experience, aiming to capture recruiter's attention within 10-30 seconds, leaving time for q&a.", 'chapters': [{'end': 72.231, 'start': 0.209, 'title': 'Building compelling data science portfolio', 'summary': "Presents tips on building a data science portfolio and resume, including motivation and 9 tips based on the speaker's experience reviewing resumes at quora and kaggle careercon attendees, aiming to leave enough time for q&a.", 'duration': 72.022, 'highlights': ['The speaker is presenting on building a compelling data science portfolio and resume, with 9 tips based on experience reviewing resumes at Quora and Kaggle CareerCon attendees.', 'Quora is a knowledge sharing platform with over 200 million monthly unique visitors, and they have a strong data science community.', 'The chapter aims to leave enough time for Q&A, encouraging participants to submit questions via YouTube Live or Slack.']}, {'end': 218.433, 'start': 74.116, 'title': 'Optimizing your data science resume', 'summary': "Emphasizes the importance of a concise and impactful one-page resume, providing nine tips to enhance the representation of one's skills and achievements, with a focus on capturing recruiter's attention within 10-30 seconds.", 'duration': 144.317, 'highlights': ["Importance of a One-Page Resume Keeping the resume concise to one page ensures maximum impact for quick skimming, increasing the chances of capturing recruiters' attention within 10-30 seconds.", 'Choice of Document Editing Software Both Word and LaTeX are viable options for resume creation, allowing flexibility in formatting, with Word enabling immediate adjustments and LaTeX offering a pre-designed template for ease of use.', 'Selection of Template Recommendation for a simple one-column template, facilitating a clean and professional layout for the resume content, enhancing readability and visual appeal.']}], 'duration': 218.224, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas209.jpg', 'highlights': ['The speaker presents 9 tips for building a compelling data science portfolio and resume based on experience reviewing resumes at Quora and Kaggle CareerCon attendees.', 'Quora, a knowledge sharing platform with over 200 million monthly unique visitors, has a strong data science community.', 'The chapter aims to leave enough time for Q&A, encouraging participants to submit questions via YouTube Live or Slack.', "Keeping the resume concise to one page ensures maximum impact for quick skimming, increasing the chances of capturing recruiters' attention within 10-30 seconds.", 'Both Word and LaTeX are viable options for resume creation, allowing flexibility in formatting.', 'Recommendation for a simple one-column template, facilitating a clean and professional layout for the resume content, enhancing readability and visual appeal.']}, {'end': 554.809, 'segs': [{'end': 367.154, 'src': 'heatmap', 'start': 218.553, 'weight': 0, 'content': [{'end': 228.196, 'text': 'I see a lot of resumes with distracting visual elements, but the best resumes really are simple and easy to scan.', 'start': 218.553, 'duration': 9.643}, {'end': 230.077, 'text': 'The most important thing really is easy to scan.', 'start': 228.396, 'duration': 1.681}, {'end': 235.799, 'text': 'For simple, no distracting visual elements, like color is even mostly unnecessary.', 'start': 230.937, 'duration': 4.862}, {'end': 245.582, 'text': 'Keep it simple, make it easy for people to scan through the left half of your resume to see a lot of the key points so they can dig in further.', 'start': 236.759, 'duration': 8.823}, {'end': 248.643, 'text': 'I usually recommend a one column resume.', 'start': 246.523, 'duration': 2.12}, {'end': 251.604, 'text': 'One column resumes are also less busy and easier to skim.', 'start': 248.783, 'duration': 2.821}, {'end': 255.646, 'text': "It's easier for a hiring manager or recruiter to look through the left side.", 'start': 252.225, 'duration': 3.421}, {'end': 260.491, 'text': 'And I always recommend using a template.', 'start': 257.029, 'duration': 3.462}, {'end': 265.675, 'text': "Unless you're applying for some sort of visual design, please don't try to make your own template.", 'start': 261.452, 'duration': 4.223}, {'end': 270.438, 'text': 'There are plenty of Microsoft Word templates or LaTeX templates that are available to you.', 'start': 265.695, 'duration': 4.743}, {'end': 276.247, 'text': "And also it's also much easier for hiring managers and recruiters if you use a familiar format.", 'start': 271.704, 'duration': 4.543}, {'end': 278.849, 'text': 'So using a template is very helpful here.', 'start': 276.347, 'duration': 2.502}, {'end': 283.573, 'text': 'A lot of this really like avoid too many frills on your resumes.', 'start': 279.45, 'duration': 4.123}, {'end': 284.914, 'text': 'The resume.', 'start': 283.673, 'duration': 1.241}, {'end': 289.977, 'text': 'if you make it easier for the recruiter or hiring manager to skim,', 'start': 284.914, 'duration': 5.063}, {'end': 298.844, 'text': 'it makes it much better for you because you can represent yourself the best and make sure you get over.', 'start': 289.977, 'duration': 8.867}, {'end': 300.365, 'text': 'you get across your most important points.', 'start': 298.844, 'duration': 1.521}, {'end': 302.924, 'text': "There's one template I really like.", 'start': 301.543, 'duration': 1.381}, {'end': 306.487, 'text': 'This is a nice simple one column resume template.', 'start': 303.245, 'duration': 3.242}, {'end': 308.169, 'text': "It's available for free on GitHub.", 'start': 306.527, 'duration': 1.642}, {'end': 312.272, 'text': "It's called Software Developer Resume by Sourabh Bajad.", 'start': 309.05, 'duration': 3.222}, {'end': 318.458, 'text': 'Cool I have a link in the presentation.', 'start': 313.413, 'duration': 5.045}, {'end': 322.762, 'text': 'Cool So now for my next tip.', 'start': 320.96, 'duration': 1.802}, {'end': 326.977, 'text': 'I see people include objectives in their resumes.', 'start': 323.976, 'duration': 3.001}, {'end': 330.997, 'text': 'I actually recommend for people not to include one.', 'start': 327.177, 'duration': 3.82}, {'end': 335.798, 'text': "It's because objectives don't really help you distinguish yourself from other people.", 'start': 331.738, 'duration': 4.06}, {'end': 340.159, 'text': 'A lot of them say very similar things at the essence.', 'start': 336.318, 'duration': 3.841}, {'end': 341.439, 'text': 'A lot of them say the same thing.', 'start': 340.179, 'duration': 1.26}, {'end': 342.26, 'text': 'I want to learn.', 'start': 341.539, 'duration': 0.721}, {'end': 343.88, 'text': 'I want to get a data science job.', 'start': 342.34, 'duration': 1.54}, {'end': 345.84, 'text': 'I want to help contribute to my company.', 'start': 344.18, 'duration': 1.66}, {'end': 348.621, 'text': 'I want to use my years of experience.', 'start': 347.121, 'duration': 1.5}, {'end': 357.467, 'text': 'All of these actually are not too useful, because they take away space from the more important things, which I think are the skills, the projects,', 'start': 349.201, 'duration': 8.266}, {'end': 359.549, 'text': 'the experience and things like that.', 'start': 357.467, 'duration': 2.082}, {'end': 367.154, 'text': "Because the objectives don't really help you distinguish and most of them say roughly the same thing.", 'start': 360.349, 'duration': 6.805}], 'summary': 'Best resumes are simple and easy to scan, one column format is recommended, avoid including objectives.', 'duration': 71.424, 'max_score': 218.553, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas218553.jpg'}, {'end': 442.99, 'src': 'heatmap', 'start': 370.596, 'weight': 3, 'content': [{'end': 374.717, 'text': "If you're interested in including some sort of summary, you can always include it in your cover letter.", 'start': 370.596, 'duration': 4.121}, {'end': 378.239, 'text': 'I view cover letters as extremely optional.', 'start': 374.737, 'duration': 3.502}, {'end': 383.46, 'text': "I really only think cover letters are useful if you can really personalize it for the company you're applying to.", 'start': 378.859, 'duration': 4.601}, {'end': 389.863, 'text': 'Otherwise, for a lot of data science positions and a lot of even software engineering positions,', 'start': 383.901, 'duration': 5.962}, {'end': 392.684, 'text': 'hiring managers and recruiters really care about the skill set.', 'start': 389.863, 'duration': 2.821}, {'end': 395.525, 'text': 'And cover letters and everything are really just completely optional.', 'start': 392.824, 'duration': 2.701}, {'end': 412.847, 'text': "Cool, so this is one thing that I haven't seen as many people list in their resume, but I would really like to suggest for people to include.", 'start': 402.54, 'duration': 10.307}, {'end': 416.089, 'text': "This doesn't take that much space.", 'start': 412.867, 'duration': 3.222}, {'end': 421.153, 'text': "It's listing the relevant coursework that's applicable for the job description.", 'start': 416.189, 'duration': 4.964}, {'end': 424.215, 'text': 'So the important part really is relevant.', 'start': 421.913, 'duration': 2.302}, {'end': 431.961, 'text': 'If you can read the job description and you can see that the hiring managers are looking for someone who knows data analysis,', 'start': 424.275, 'duration': 7.686}, {'end': 441.589, 'text': "it's very important to try to put whatever statistics, data analysis, linear modeling, any sort of statistical modeling courses in your resume.", 'start': 431.961, 'duration': 9.628}, {'end': 442.99, 'text': 'This makes it.', 'start': 442.089, 'duration': 0.901}], 'summary': 'Cover letters are optional, relevant coursework should be listed in resume.', 'duration': 72.394, 'max_score': 370.596, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas370596.jpg'}, {'end': 473.773, 'src': 'embed', 'start': 446.893, 'weight': 4, 'content': [{'end': 452.837, 'text': 'and especially if maybe a hiring manager or recruiter is looking for someone with a statistical background.', 'start': 446.893, 'duration': 5.944}, {'end': 466.107, 'text': "This is a very quick way to show that you have a statistical background and aren't purely focused on machine learning and software engineering and all things like that.", 'start': 453.358, 'duration': 12.749}, {'end': 473.773, 'text': 'Put your coursework, but more importantly, put the coursework in there ordered by what is most relevant for the resume.', 'start': 467.708, 'duration': 6.065}], 'summary': 'Highlight statistical background in resume coursework, prioritizing relevance.', 'duration': 26.88, 'max_score': 446.893, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas446893.jpg'}, {'end': 506.236, 'src': 'heatmap', 'start': 474.193, 'weight': 0.773, 'content': [{'end': 482.622, 'text': 'not ordered by your favorite courses or something like that, but put the things that are most relevant first, and that will help a lot.', 'start': 474.193, 'duration': 8.429}, {'end': 490.989, 'text': 'The next tip, I see some people do this on the resume.', 'start': 486.687, 'duration': 4.302}, {'end': 495.211, 'text': "I don't recommend giving numerical ratings to your skills.", 'start': 491.569, 'duration': 3.642}, {'end': 499.313, 'text': "The problem is that these aren't calibrated at all.", 'start': 495.691, 'duration': 3.622}, {'end': 506.236, 'text': 'So the numerical ratings are not that useful for people who read your resumes.', 'start': 499.673, 'duration': 6.563}], 'summary': 'Prioritize relevant information on resume, avoid numerical skill ratings.', 'duration': 32.043, 'max_score': 474.193, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas474193.jpg'}, {'end': 554.809, 'src': 'embed', 'start': 528.204, 'weight': 5, 'content': [{'end': 535.866, 'text': 'um, if you, if you do want to rate yourselves on your skills, i recommend some keeping it simple by using the word like proficient.', 'start': 528.204, 'duration': 7.662}, {'end': 539.707, 'text': 'um, proficient or familiar, or things like that.', 'start': 535.866, 'duration': 3.841}, {'end': 544.068, 'text': 'or you can just exclude assessments, exclude assessments altogether.', 'start': 539.707, 'duration': 4.361}, {'end': 548.143, 'text': 'Sometimes I also see people rating soft skills on here.', 'start': 545.441, 'duration': 2.702}, {'end': 554.809, 'text': "I don't recommend that like rating skills for communication or teamwork.", 'start': 549.264, 'duration': 5.545}], 'summary': 'Recommend using simple skill ratings like proficient or familiar, and exclude soft skills assessments.', 'duration': 26.605, 'max_score': 528.204, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas528204.jpg'}], 'start': 218.553, 'title': 'Optimizing resume for easy scanning and data science positions', 'summary': 'Addresses the importance of simplicity and ease of scanning in resumes, recommending a one column format and the use of templates. it also discusses resume tips for data science positions, such as excluding objectives, including relevant coursework, and not giving numerical ratings to skills.', 'chapters': [{'end': 322.762, 'start': 218.553, 'title': 'Optimizing resume for easy scanning', 'summary': 'Discusses the importance of simplicity and ease of scanning in resumes, recommending a one column format and the use of templates, as it helps hiring managers to quickly skim through and focus on the key points, ultimately improving the chances of representing oneself effectively.', 'duration': 104.209, 'highlights': ['Using a one column resume is recommended as it is easier for hiring managers or recruiters to look through the left side.', 'The use of templates, such as Microsoft Word or LaTeX templates, is highly recommended as it makes it much easier for hiring managers and recruiters to scan through the resume.', 'Simplicity and avoidance of distracting visual elements, like too many frills, are emphasized to make it easier for the recruiter or hiring manager to skim through and focus on the most important points.', "The chapter also mentions a specific free one column resume template called 'Software Developer Resume by Sourabh Bajaj' available on GitHub, which is recommended for its simplicity and effectiveness."]}, {'end': 554.809, 'start': 323.976, 'title': 'Resume tips for data science positions', 'summary': 'Discusses the inefficacy of including objectives in resumes, the importance of relevant coursework, and the drawbacks of giving numerical ratings to skills, urging for their exclusion.', 'duration': 230.833, 'highlights': ["Including objectives in resumes is not recommended as they don't help distinguish individuals and take up space from more important sections like skills and projects. Objectives in resumes are not helpful in distinguishing individuals and take up space from more important sections like skills and projects.", 'Recommends excluding objectives and suggests including a summary in the cover letter, stating that cover letters are useful only if personalized for the company. Excluding objectives and including a personalized summary in the cover letter is recommended, as cover letters are useful only if personalized for the company.', 'Suggests including relevant coursework in the resume, ordered by relevance to the job description, to effectively showcase talents and expertise. Including relevant coursework in the resume, ordered by relevance to the job description, effectively showcases talents and expertise.', "Discourages giving numerical ratings to skills in resumes, as it lacks calibration and standardized rating, recommending the use of simple terms like 'proficient' or excluding assessments altogether. Discouraging the use of numerical ratings for skills in resumes due to lack of calibration and standardized rating, recommending the use of simple terms like 'proficient' or excluding assessments altogether.", 'Does not recommend rating soft skills like communication or teamwork on resumes. Not recommending the rating of soft skills like communication or teamwork on resumes.']}], 'duration': 336.256, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas218553.jpg', 'highlights': ['The use of templates, such as Microsoft Word or LaTeX templates, is highly recommended as it makes it much easier for hiring managers and recruiters to scan through the resume.', 'Using a one column resume is recommended as it is easier for hiring managers or recruiters to look through the left side.', 'Simplicity and avoidance of distracting visual elements, like too many frills, are emphasized to make it easier for the recruiter or hiring manager to skim through and focus on the most important points.', 'Recommends excluding objectives and suggests including a summary in the cover letter, stating that cover letters are useful only if personalized for the company.', 'Suggests including relevant coursework in the resume, ordered by relevance to the job description, to effectively showcase talents and expertise.', "Discourages giving numerical ratings to skills in resumes, as it lacks calibration and standardized rating, recommending the use of simple terms like 'proficient' or excluding assessments altogether.", 'Does not recommend rating soft skills like communication or teamwork on resumes.']}, {'end': 1444.268, 'segs': [{'end': 608.408, 'src': 'heatmap', 'start': 565.35, 'weight': 0, 'content': [{'end': 571.651, 'text': 'Cool, so these are examples of skill listings that I think are really good.', 'start': 565.35, 'duration': 6.301}, {'end': 578.372, 'text': "The important thing again is like read through the job description and find out what technical skills they're looking for.", 'start': 572.311, 'duration': 6.061}, {'end': 581.513, 'text': "Usually it's Python or R.", 'start': 579.333, 'duration': 2.18}, {'end': 585.354, 'text': 'R and Python are usually the golden standard of tools in data science.', 'start': 581.513, 'duration': 3.841}, {'end': 592.355, 'text': 'So I recommend definitely listing either Python or R first in all of your skill listings.', 'start': 585.494, 'duration': 6.861}, {'end': 598.82, 'text': 'Depending on the job description, you can also find what other tools are looking for.', 'start': 592.955, 'duration': 5.865}, {'end': 607.187, 'text': "If they're looking for people familiar with SQL, if they're interested in people familiar with Spark or Redshift or Hadoop,", 'start': 599.24, 'duration': 7.947}, {'end': 608.408, 'text': 'those are all useful to put in.', 'start': 607.187, 'duration': 1.221}], 'summary': 'Key data skills for data science jobs are python, r, sql, spark, redshift, hadoop.', 'duration': 52.058, 'max_score': 565.35, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas565350.jpg'}, {'end': 737.624, 'src': 'heatmap', 'start': 678.358, 'weight': 0.921, 'content': [{'end': 686.901, 'text': 'Again, skills are one of the easiest things to customize, so I heavily recommend investing in ordering them appropriately.', 'start': 678.358, 'duration': 8.543}, {'end': 694.316, 'text': 'Cool So my next tip is about projects.', 'start': 686.921, 'duration': 7.395}, {'end': 698.079, 'text': "I don't recommend listing common projects or homework.", 'start': 695.217, 'duration': 2.862}, {'end': 700.682, 'text': 'These are some examples I found.', 'start': 698.68, 'duration': 2.002}, {'end': 704.725, 'text': 'I found one about sentiment analysis of Yelp reviews.', 'start': 701.062, 'duration': 3.663}, {'end': 713.432, 'text': 'I found, sometimes people mention some of the getting started competitions on Kaggle, like machine learning for classification.', 'start': 705.806, 'duration': 7.626}, {'end': 717.735, 'text': 'I found one about someone working on a simulated data set.', 'start': 714.553, 'duration': 3.182}, {'end': 725.498, 'text': 'I found one about people working on classification on the MNIST data set.', 'start': 718.175, 'duration': 7.323}, {'end': 737.624, 'text': 'These are all very familiar problems in the data science space and end up becoming very common homework problems or very common guided examples.', 'start': 726.179, 'duration': 11.445}], 'summary': 'Customize skills, avoid common projects like yelp sentiment analysis or mnist classification.', 'duration': 59.266, 'max_score': 678.358, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas678358.jpg'}, {'end': 791.406, 'src': 'heatmap', 'start': 747.273, 'weight': 2, 'content': [{'end': 754.544, 'text': 'So I always recommend putting other projects that are more or more novel.', 'start': 747.273, 'duration': 7.271}, {'end': 757.969, 'text': 'My next section is going to cover more about that.', 'start': 755.866, 'duration': 2.103}, {'end': 767.909, 'text': 'So, when you do talk about projects, I do recommend showing your results and including links.', 'start': 759.744, 'duration': 8.165}, {'end': 773.353, 'text': "especially if you're putting up any sort of Kaggle competition, please include your percentile rank.", 'start': 767.909, 'duration': 5.444}, {'end': 779.797, 'text': 'That helps whoever reading your resume a lot to understand where you are in the competition.', 'start': 773.913, 'duration': 5.884}, {'end': 791.406, 'text': 'I think anything above maybe the top 10% is very good and can help show off your abilities.', 'start': 783.159, 'duration': 8.247}], 'summary': 'Highlight project results with links, include percentile rank for kaggle competition, top 10% is impressive.', 'duration': 31.662, 'max_score': 747.273, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas747273.jpg'}, {'end': 911.39, 'src': 'heatmap', 'start': 888.109, 'weight': 0.731, 'content': [{'end': 895.48, 'text': 'And also like the additional link to to a blog that lets the recruiting or hiring manager find out more.', 'start': 888.109, 'duration': 7.371}, {'end': 898.74, 'text': 'Cool, moving on to my eighth tip.', 'start': 897.159, 'duration': 1.581}, {'end': 901.863, 'text': 'My eighth tip is filling out your online presence.', 'start': 899.761, 'duration': 2.102}, {'end': 905.826, 'text': 'So this can be anything from, the most basic is your LinkedIn.', 'start': 901.943, 'duration': 3.883}, {'end': 909.109, 'text': 'Like recruiters and hiring managers do look at your LinkedIn.', 'start': 906.266, 'duration': 2.843}, {'end': 911.39, 'text': 'It is kind of an extended resume.', 'start': 909.229, 'duration': 2.161}], 'summary': 'Optimize your online presence, especially on linkedin, for recruiters and hiring managers.', 'duration': 23.281, 'max_score': 888.109, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas888109.jpg'}, {'end': 1069.388, 'src': 'embed', 'start': 1042.788, 'weight': 4, 'content': [{'end': 1048.092, 'text': 'independent research, your thesis work, Kaggle competitions all of those are very helpful.', 'start': 1042.788, 'duration': 5.304}, {'end': 1055.818, 'text': 'I recommend avoiding any homework or things like that, but focusing on any independent projects.', 'start': 1048.252, 'duration': 7.566}, {'end': 1062.543, 'text': "These are a substitute for work experience if you don't have work experience to put in your resume.", 'start': 1056.999, 'duration': 5.544}, {'end': 1066.426, 'text': "I don't recommend putting irrelevant experience in your resume.", 'start': 1063.323, 'duration': 3.103}, {'end': 1069.388, 'text': 'Try to put in projects.', 'start': 1067.026, 'duration': 2.362}], 'summary': 'Independent research, thesis work, kaggle competitions are valuable substitutes for work experience in a resume.', 'duration': 26.6, 'max_score': 1042.788, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas1042788.jpg'}, {'end': 1289.621, 'src': 'embed', 'start': 1262.073, 'weight': 3, 'content': [{'end': 1270.256, 'text': 'Number eight, fill your online presence, whether that be LinkedIn, GitHub, Kaggle, any sort of blog, any sort of online website.', 'start': 1262.073, 'duration': 8.183}, {'end': 1271.776, 'text': 'This is helpful.', 'start': 1270.536, 'duration': 1.24}, {'end': 1276.638, 'text': "You definitely don't have to do all of them, but pick a few of your favorites and include some links.", 'start': 1271.816, 'duration': 4.822}, {'end': 1277.378, 'text': 'These are very helpful.', 'start': 1276.658, 'duration': 0.72}, {'end': 1281.199, 'text': 'And last one, tailor your experience towards the job.', 'start': 1278.218, 'duration': 2.981}, {'end': 1282.519, 'text': 'These are incredibly helpful.', 'start': 1281.419, 'duration': 1.1}, {'end': 1289.621, 'text': 'And I think overall, these nine tips are ways to represent yourself, represent yourself the best.', 'start': 1283.38, 'duration': 6.241}], 'summary': 'Enhance online presence with linkedin, github, kaggle. tailor experience towards the job. 9 tips to represent yourself the best.', 'duration': 27.548, 'max_score': 1262.073, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas1262073.jpg'}], 'start': 556.35, 'title': 'Optimizing data science resume skills and resume', 'summary': 'Emphasizes tailoring technical skills on a data science resume, prioritizing python or r, customizing skill order, showcasing results, and includes tips on resume length, objectives, coursework, and work experience.', 'chapters': [{'end': 677.498, 'start': 556.35, 'title': 'Optimizing data science resume skills', 'summary': 'Emphasizes the importance of tailoring technical skills on a data science resume, recommending to prioritize python or r based on job descriptions, and customize skill order to align with specific job requirements, such as sql, spark, redshift, or hadoop familiarity.', 'duration': 121.148, 'highlights': ['The importance of tailoring technical skills on a data science resume is emphasized, recommending to prioritize Python or R based on job descriptions.', 'Customizing skill order to align with specific job requirements, such as SQL, Spark, Redshift, or Hadoop familiarity, is recommended.', "The relevance of skill order in suggesting one's skill set is highlighted, with examples like SAS, Excel, R, and Python showcasing different skill set associations.", 'Emphasizing the ease of customizing skills on a resume and the ability to reorder them based on job descriptions is recommended.']}, {'end': 1444.268, 'start': 678.358, 'title': 'Optimizing your data science resume', 'summary': 'Emphasizes the importance of customizing skills and projects, showcasing results, filling out online profiles, tailoring experience, and includes tips on resume length, objectives, coursework, skills, projects, results, online presence, and work experience.', 'duration': 765.91, 'highlights': ['The chapter emphasizes the importance of customizing skills based on the job description, as it is an incredibly easy way to customize a resume.', 'It recommends avoiding listing common projects or homework, as these are very common and make it hard for applicants to distinguish themselves.', 'Showcasing results and including links, especially for Kaggle competitions, is recommended, with a percentile rank above the top 10% being considered very good and beneficial for showcasing abilities.', 'Filling out online profiles on platforms like LinkedIn, GitHub, Kaggle, and blogs is advised, as it helps in showcasing work and sharing knowledge in the data science space.', 'Tailoring experience towards the job description is highlighted as incredibly helpful, with the suggestion to focus on independent projects if lacking work experience and to avoid including irrelevant experience.']}], 'duration': 887.918, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas556350.jpg', 'highlights': ['Emphasizes tailoring technical skills on a data science resume, prioritizing Python or R based on job descriptions.', 'Customizing skill order to align with specific job requirements, such as SQL, Spark, Redshift, or Hadoop familiarity, is recommended.', 'Showcasing results and including links, especially for Kaggle competitions, is recommended, with a percentile rank above the top 10% being considered very good and beneficial for showcasing abilities.', 'Filling out online profiles on platforms like LinkedIn, GitHub, Kaggle, and blogs is advised, as it helps in showcasing work and sharing knowledge in the data science space.', 'Tailoring experience towards the job description is highlighted as incredibly helpful, with the suggestion to focus on independent projects if lacking work experience and to avoid including irrelevant experience.']}, {'end': 1737.117, 'segs': [{'end': 1491.407, 'src': 'embed', 'start': 1463.717, 'weight': 2, 'content': [{'end': 1467.062, 'text': 'So I think cover letters are optional for most people.', 'start': 1463.717, 'duration': 3.345}, {'end': 1476.656, 'text': "However, if you do have a special situation, especially if you're trying to change careers, cover letters do provide really good context.", 'start': 1467.142, 'duration': 9.514}, {'end': 1483.922, 'text': "In general, if you're sending the same cover letter to a lot of different companies,", 'start': 1478.338, 'duration': 5.584}, {'end': 1491.407, 'text': "where you're mentioning a lot of your technical skills and things like that, a lot of that repeats the things on your resume, so it's not as useful.", 'start': 1483.922, 'duration': 7.485}], 'summary': 'Cover letters are optional for most, but helpful for career changers and provide context. sending same cover letter to multiple companies may not be useful.', 'duration': 27.69, 'max_score': 1463.717, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas1463717.jpg'}, {'end': 1594.655, 'src': 'embed', 'start': 1564.97, 'weight': 0, 'content': [{'end': 1570.915, 'text': 'But just general advice is that the bots are probably looking for some sort of keyword.', 'start': 1564.97, 'duration': 5.945}, {'end': 1577.084, 'text': "Like you could like, I'm guessing, like Python.", 'start': 1571.755, 'duration': 5.329}, {'end': 1584.829, 'text': 'just put, if the bots are filtering on resumes, the bots are almost certainly looking for like very important keywords and the keywords are,', 'start': 1577.084, 'duration': 7.745}, {'end': 1587.631, 'text': 'hopefully, or they should be, highlighted in the job description.', 'start': 1584.829, 'duration': 2.802}, {'end': 1594.655, 'text': 'So, if you suspect that a bot might be filtering for your resume,', 'start': 1588.311, 'duration': 6.344}], 'summary': 'Bots filter resumes for important keywords, like python, highlighted in job descriptions.', 'duration': 29.685, 'max_score': 1564.97, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas1564970.jpg'}, {'end': 1712.665, 'src': 'embed', 'start': 1682.174, 'weight': 1, 'content': [{'end': 1689.078, 'text': 'I actually really like reading these write-ups, especially since a lot of data science is about communication and presenting data.', 'start': 1682.174, 'duration': 6.904}, {'end': 1692.581, 'text': 'So having links to write-ups are incredibly helpful.', 'start': 1689.759, 'duration': 2.822}, {'end': 1705.824, 'text': 'For general portfolios, GitHub is always good for just general code repositories.', 'start': 1693.361, 'duration': 12.463}, {'end': 1708.464, 'text': 'You can also have write-ups and markdown on there.', 'start': 1705.844, 'duration': 2.62}, {'end': 1710.365, 'text': 'You can invest in a personal website.', 'start': 1708.865, 'duration': 1.5}, {'end': 1712.665, 'text': 'Those are very optional.', 'start': 1710.585, 'duration': 2.08}], 'summary': 'Data science involves communication and presenting data; github is useful for code repositories and write-ups; consider a personal website as optional.', 'duration': 30.491, 'max_score': 1682.174, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas1682174.jpg'}], 'start': 1444.268, 'title': 'Cover letters and resume optimization', 'summary': 'Emphasizes the significance of cover letters, optimizing resumes with keywords to bypass bots, and integrating portfolios into one-page resumes.', 'chapters': [{'end': 1737.117, 'start': 1444.268, 'title': 'Cover letters and resume optimization', 'summary': 'Discusses the importance of cover letters, the use of keywords in resumes to bypass bots, and the incorporation of portfolios into one-page resumes.', 'duration': 292.849, 'highlights': ["The importance of cover letters for career changers and tailoring them to the company's needs Cover letters are especially important for career changers and should be tailored to mention interest in the company or cover special situations.", 'Using keywords in resumes to bypass bots during the initial filtering process Emphasizing relevant skills and including important keywords like Python or R in the skills section to potentially bypass resume-filtering bots.', 'Incorporating portfolio links in one-page resumes and the use of write-ups for data science projects Suggests including URLs or links to portfolios and project write-ups, emphasizing the value of communication and data presentation in data science.']}], 'duration': 292.849, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas1444268.jpg', 'highlights': ['Using keywords in resumes to bypass bots during the initial filtering process Emphasizing relevant skills and including important keywords like Python or R in the skills section to potentially bypass resume-filtering bots.', 'Incorporating portfolio links in one-page resumes and the use of write-ups for data science projects Suggests including URLs or links to portfolios and project write-ups, emphasizing the value of communication and data presentation in data science.', "The importance of cover letters for career changers and tailoring them to the company's needs Cover letters are especially important for career changers and should be tailored to mention interest in the company or cover special situations."]}, {'end': 2276.47, 'segs': [{'end': 1844.786, 'src': 'embed', 'start': 1818.981, 'weight': 1, 'content': [{'end': 1825.265, 'text': 'There are avenues in various data science classes and universities or online programs where you can show these things off.', 'start': 1818.981, 'duration': 6.284}, {'end': 1835.974, 'text': 'Yeah Another question coming in a few times is about, you know, academia and how you present that on your resume.', 'start': 1825.285, 'duration': 10.689}, {'end': 1839.959, 'text': 'So should you be putting your publication your supervision, you know?', 'start': 1836.074, 'duration': 3.885}, {'end': 1844.786, 'text': "how would you recommend structuring your resume and presenting your work if you're coming from an academic background primarily?", 'start': 1839.959, 'duration': 4.827}], 'summary': 'Highlight academic achievements on resume to showcase expertise in data science.', 'duration': 25.805, 'max_score': 1818.981, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas1818981.jpg'}, {'end': 1886.968, 'src': 'embed', 'start': 1862.596, 'weight': 0, 'content': [{'end': 1874.001, 'text': "They put in their main thesis as a project or even as experience, and they can list out all of the relevant skills that they've done,", 'start': 1862.596, 'duration': 11.405}, {'end': 1882.966, 'text': 'especially for any sort of like social science or economics, a social science, economics or or biology,', 'start': 1874.001, 'duration': 8.965}, {'end': 1886.968, 'text': 'or any sort of like more some of the quantitative data oriented sciences.', 'start': 1882.966, 'duration': 4.002}], 'summary': 'Students can highlight their main thesis project or experience, and list relevant skills, especially in social science, economics, and quantitative data-oriented sciences.', 'duration': 24.372, 'max_score': 1862.596, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas1862596.jpg'}, {'end': 1961.78, 'src': 'embed', 'start': 1933.281, 'weight': 2, 'content': [{'end': 1939.106, 'text': 'So I recommend rewriting a lot of that as projects or experience.', 'start': 1933.281, 'duration': 5.825}, {'end': 1947.855, 'text': 'I think any sort of research, your thesis definitely counts as a very large scale project.', 'start': 1939.387, 'duration': 8.468}, {'end': 1957.679, 'text': "So we have a few questions coming in about how to present your experience if you're applying for a job that has kind of engineer,", 'start': 1950.117, 'duration': 7.562}, {'end': 1958.919, 'text': 'software engineer and the title.', 'start': 1957.679, 'duration': 1.24}, {'end': 1961.78, 'text': 'so, for example, software engineer for a big data team.', 'start': 1958.919, 'duration': 2.861}], 'summary': 'Recommend highlighting projects or research as experience for engineering job applications.', 'duration': 28.499, 'max_score': 1933.281, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas1933281.jpg'}, {'end': 2068.013, 'src': 'embed', 'start': 2035.519, 'weight': 3, 'content': [{'end': 2043.343, 'text': "Knowledge of machine learning and things like that aren't as useful, but I would recommend, like a lot of traditional software engineering skills,", 'start': 2035.519, 'duration': 7.824}, {'end': 2047.305, 'text': 'infrastructure and also ability to work with databases.', 'start': 2043.343, 'duration': 3.962}, {'end': 2048.866, 'text': "Like that's very helpful.", 'start': 2047.465, 'duration': 1.401}, {'end': 2052.127, 'text': "Again, like there's just so many different data science roles.", 'start': 2049.446, 'duration': 2.681}, {'end': 2057.29, 'text': "There are data science roles that require production level code or data science roles that don't require production level code.", 'start': 2052.147, 'duration': 5.143}, {'end': 2064.092, 'text': "And it's really important to try to focus your skills towards what the job description is asking for.", 'start': 2057.929, 'duration': 6.163}, {'end': 2068.013, 'text': 'Great Just a couple more questions.', 'start': 2064.112, 'duration': 3.901}], 'summary': 'Data science roles require traditional software engineering skills, infrastructure, database abilities, and job-specific focus.', 'duration': 32.494, 'max_score': 2035.519, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas2035519.jpg'}, {'end': 2125.252, 'src': 'embed', 'start': 2093.494, 'weight': 5, 'content': [{'end': 2106.002, 'text': 'Tableau is something, I view Tableau and Plotly as things that companies are totally okay with you learning on the job.', 'start': 2093.494, 'duration': 12.508}, {'end': 2117.009, 'text': "There's a lot of very specific things, even working with Hadoop or Hive, that it's actually very hard to get experience with outside of the company.", 'start': 2106.222, 'duration': 10.787}, {'end': 2125.252, 'text': 'So companies are mostly looking for very general, a lot of very general skills, especially Python and R are huge.', 'start': 2117.649, 'duration': 7.603}], 'summary': 'Companies seek general skills like python and r, are open to on-the-job tableau and plotly learning.', 'duration': 31.758, 'max_score': 2093.494, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas2093494.jpg'}, {'end': 2221.577, 'src': 'embed', 'start': 2178.652, 'weight': 6, 'content': [{'end': 2185.719, 'text': 'I think a lot of people, by default think data science is all about predictive modeling, predictive modeling and machine learning.', 'start': 2178.652, 'duration': 7.067}, {'end': 2192.265, 'text': 'And while that is definitely true, that is definitely true for some roles,', 'start': 2186.199, 'duration': 6.066}, {'end': 2199.853, 'text': 'I think the breadth of data science actually extends far beyond simply predictive modeling and machine learning.', 'start': 2192.265, 'duration': 7.588}, {'end': 2206.654, 'text': 'So, especially for any data science role that works a lot on machine learning and predictive modeling,', 'start': 2200.813, 'duration': 5.841}, {'end': 2211.615, 'text': 'most of the work is actually in engineering complex machine learning systems.', 'start': 2206.654, 'duration': 4.961}, {'end': 2221.577, 'text': 'Most of the work in setting up a proper production level machine learning system is actually in setting up all of the backend infrastructure,', 'start': 2211.675, 'duration': 9.902}], 'summary': 'Data science involves more than predictive modeling and machine learning, with a focus on engineering complex ml systems and backend infrastructure.', 'duration': 42.925, 'max_score': 2178.652, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas2178652.jpg'}, {'end': 2276.47, 'src': 'embed', 'start': 2255.832, 'weight': 8, 'content': [{'end': 2263.615, 'text': 'um, so i, so it is, it is really important to like, try to especially, especially for a lot of jobs like, put in some, like software engineering,', 'start': 2255.832, 'duration': 7.783}, {'end': 2271.643, 'text': 'experience, put in some statistics, experience, list out out coursework in both like computer science and statistics.', 'start': 2263.615, 'duration': 8.028}, {'end': 2273.105, 'text': 'basically, what is good for the role.', 'start': 2271.643, 'duration': 1.462}, {'end': 2276.47, 'text': 'And the role is usually not purely predictive modeling.', 'start': 2273.185, 'duration': 3.285}], 'summary': 'Emphasize software engineering and statistics experience for diverse roles.', 'duration': 20.638, 'max_score': 2255.832, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas2255832.jpg'}], 'start': 1737.437, 'title': 'Data science resume tips', 'summary': 'Emphasizes showcasing data-related projects and academic theses, offers guidance on structuring resumes, discusses the balancing of data science and software engineering skills for different roles, and addresses common misconceptions about data science roles.', 'chapters': [{'end': 1961.78, 'start': 1737.437, 'title': 'Data science resume tips', 'summary': 'Discusses the key elements of a data science resume, emphasizing the importance of showcasing data-related projects and academic theses as valuable accomplishments, while also providing guidance on structuring resumes for various academic backgrounds and job titles in the data science field.', 'duration': 224.343, 'highlights': ['The importance of showcasing data-related projects and academic theses as valuable accomplishments. The speaker emphasizes the value of presenting projects that go beyond homework assignments, such as class final projects exploring interesting data sets and independent projects with strong write-ups and visualizations.', 'Guidance on structuring resumes for various academic backgrounds and job titles in the data science field. The speaker recommends restructuring academic experiences, including theses and research, as projects or experience, while advising against listing publications to save space and enhance the relevance of the resume content to data science roles.', 'Advice on presenting experience for job titles like software engineer for a big data team. The chapter provides insights on tailoring the presentation of experience for specific job titles in the data science field, such as software engineer for a big data team, offering valuable guidance for job seekers in these roles.']}, {'end': 2157.963, 'start': 1961.8, 'title': 'Balancing data science and software engineering skills', 'summary': 'Discusses the balancing of data science and software engineering skills on a resume for different data science roles, emphasizing the importance of traditional software engineering skills and specific tools like tableau and plotly.', 'duration': 196.163, 'highlights': ['The importance of traditional software engineering skills and specific tools like Tableau and Plotly for different data science roles is emphasized. The chapter discusses the balancing of data science and software engineering skills on a resume for different data science roles, emphasizing the importance of traditional software engineering skills and specific tools like Tableau and Plotly.', 'Different data science roles, such as machine learning engineering and data infrastructure engineering, require a combination of predictive modeling, traditional software engineering, and infrastructure skills. Different data science roles, such as machine learning engineering and data infrastructure engineering, require a combination of predictive modeling, traditional software engineering, and infrastructure skills.', 'The chapter also addresses the importance of focusing on specific skills based on job descriptions, such as the requirement for production-level code. The chapter also addresses the importance of focusing on specific skills based on job descriptions, such as the requirement for production-level code.', 'The significance of Python and R skills, along with knowledge of visualization tools like ggplot in R and matplotlib in Python, is highlighted for data science roles. The significance of Python and R skills, along with knowledge of visualization tools like ggplot in R and matplotlib in Python, is highlighted for data science roles.']}, {'end': 2276.47, 'start': 2157.963, 'title': 'Data science role misconceptions', 'summary': 'Discusses common misconceptions about data science roles, emphasizing that while predictive modeling and machine learning are important, the breadth of data science extends far beyond them, with a significant focus on engineering complex machine learning systems and a mixture of engineering, analytics, and analysis.', 'duration': 118.507, 'highlights': ['The breadth of data science extends far beyond simply predictive modeling and machine learning, with a significant focus on engineering complex machine learning systems and a mixture of engineering, analytics, and analysis.', 'Most of the work in data science roles that involve machine learning and predictive modeling is in engineering complex machine learning systems and setting up backend infrastructure, training pipelines, and feature frameworks.', "It's important for candidates to have experience in software engineering, statistics, computer science, and relevant coursework, as the role of data science usually involves a mixture of engineering, analytics, and analysis."]}], 'duration': 539.033, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/xrhPjE7wHas/pics/xrhPjE7wHas1737437.jpg', 'highlights': ['Emphasizes showcasing data-related projects and academic theses as valuable accomplishments.', 'Guidance on structuring resumes for various academic backgrounds and job titles in the data science field.', 'Advice on presenting experience for job titles like software engineer for a big data team.', 'Different data science roles require a combination of predictive modeling, traditional software engineering, and infrastructure skills.', 'The importance of focusing on specific skills based on job descriptions, such as the requirement for production-level code.', 'The significance of Python and R skills, along with knowledge of visualization tools like ggplot in R and matplotlib in Python, is highlighted for data science roles.', 'The breadth of data science extends far beyond simply predictive modeling and machine learning, with a significant focus on engineering complex machine learning systems and a mixture of engineering, analytics, and analysis.', 'Most of the work in data science roles that involve machine learning and predictive modeling is in engineering complex machine learning systems and setting up backend infrastructure, training pipelines, and feature frameworks.', "It's important for candidates to have experience in software engineering, statistics, computer science, and relevant coursework, as the role of data science usually involves a mixture of engineering, analytics, and analysis."]}], 'highlights': ['The chapter aims to leave enough time for Q&A, encouraging participants to submit questions via YouTube Live or Slack.', 'Both Word and LaTeX are viable options for resume creation, allowing flexibility in formatting.', 'The use of templates, such as Microsoft Word or LaTeX templates, is highly recommended as it makes it much easier for hiring managers and recruiters to scan through the resume.', 'Using a one column resume is recommended as it is easier for hiring managers or recruiters to look through the left side.', 'Simplicity and avoidance of distracting visual elements, like too many frills, are emphasized to make it easier for the recruiter or hiring manager to skim through and focus on the most important points.', 'Recommends excluding objectives and suggests including a summary in the cover letter, stating that cover letters are useful only if personalized for the company.', 'Emphasizes tailoring technical skills on a data science resume, prioritizing Python or R based on job descriptions.', 'Customizing skill order to align with specific job requirements, such as SQL, Spark, Redshift, or Hadoop familiarity, is recommended.', 'Showcasing results and including links, especially for Kaggle competitions, is recommended, with a percentile rank above the top 10% being considered very good and beneficial for showcasing abilities.', 'Filling out online profiles on platforms like LinkedIn, GitHub, Kaggle, and blogs is advised, as it helps in showcasing work and sharing knowledge in the data science space.', 'Using keywords in resumes to bypass bots during the initial filtering process Emphasizing relevant skills and including important keywords like Python or R in the skills section to potentially bypass resume-filtering bots.', 'Incorporating portfolio links in one-page resumes and the use of write-ups for data science projects Suggests including URLs or links to portfolios and project write-ups, emphasizing the value of communication and data presentation in data science.', "The importance of cover letters for career changers and tailoring them to the company's needs Cover letters are especially important for career changers and should be tailored to mention interest in the company or cover special situations.", 'Emphasizes showcasing data-related projects and academic theses as valuable accomplishments.', 'Guidance on structuring resumes for various academic backgrounds and job titles in the data science field.', 'Advice on presenting experience for job titles like software engineer for a big data team.', 'Different data science roles require a combination of predictive modeling, traditional software engineering, and infrastructure skills.', 'The importance of focusing on specific skills based on job descriptions, such as the requirement for production-level code.', 'The significance of Python and R skills, along with knowledge of visualization tools like ggplot in R and matplotlib in Python, is highlighted for data science roles.', 'The breadth of data science extends far beyond simply predictive modeling and machine learning, with a significant focus on engineering complex machine learning systems and a mixture of engineering, analytics, and analysis.', 'Most of the work in data science roles that involve machine learning and predictive modeling is in engineering complex machine learning systems and setting up backend infrastructure, training pipelines, and feature frameworks.', "It's important for candidates to have experience in software engineering, statistics, computer science, and relevant coursework, as the role of data science usually involves a mixture of engineering, analytics, and analysis."]}