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Building a career in Data Science

Podcast |: Practical AI: Machine Learning, Data Science
Publisher |: Changelog Media
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Business,; Data Science,; Interview,; Machine Learning,; Tech News,; Technology
Categories Via RSS |: Software How-To,; Tech News,; Technology
Publication Date |: Mar 16, 2020
Episode Duration |: 00:51:08

Description
Content Encoded

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.

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

Books

“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? ai-81.md">PRs welcome!

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