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Building a career in Data Science (Practical AI #81)
Emily Robinson, co-author of the book Build a Career in Data Science, gives us the inside scoop about optimizing the data science job search. From creating one’s resume, cover letter, and portfolio to knowing how to recognize the right job at a fair compensation rate.
Emily’s expert guidance takes us from the beginning of the process to conclusion, including being successful during your early days in that fantastic new data science position.
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Featuring:
- Emily Robinson – Twitter, GitHub
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Comment on the episode page for a chance to win a FREE copy of the eBook! Tell us why you are interested in Data Science and how this book might help you achieve your goals. Our 3 favorite comments will be selected on April 13th!
- R Conference | New York City
- “Build a Career in Data Science” by Emily Robinson and Jacqueline Nolis
- Be sure to use discount code: podpracticalAI19
- “Cracking the Coding Interview” by Gayle Laakmann McDowell
- “Designing Your New Work Life” by Bill Burnett and Dave Evans
- “Designing Your Life” by Bill Burnett and Dave Evans
Something missing or broken? PRs welcome!