Data Science is becoming more and more popular as a career choice since it offers both lucrative salaries and the opportunity to have high impact. The Data Science interview process is challenging, but with dedicated practice you can succeed. In this video, I'll outline the 7 steps to pass any Data Science Interview. We'll go over topics like studying techniques, portfolio optimization, and interviewing tips, all of which are prominent in the modern Data Science interview pipeline. I've listed all of the resources I've mentioned both in the video description and in the associated GitHub readme. Enjoy!
Plan for this video: https://github.com/llSourcell/Data_Science_Interview_Guide
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Step 1 - Ask yourself "Why"
Investor Insights for Inspiration https://thesyndicate.vc/the-top-5-startup-technology-angel-investing-and-venture-capital-podcasts-in-order/
Investors to follow on Twitter http://www.venturearchetypes.com/faq/Investors-On-Twitter-List.html
Data Stories Podcasts http://datastori.es/
Step 2 - Create and Execute a Study Plan
Learn Data Science in 3 Months https://www.youtube.com/watch?v=9rDhY1P3YLA
Chromebook Data Science https://leanpub.com/universities/set/jhu/chromebook-data-science
Open Source University https://github.com/ossu/data-science
Practice Technical Interviews http://interviewing.io
Use Flashcards https://www.brainscape.com/subjects/data-science
Find a Mentor https://www.sharpestminds.com
Step 3 - Build a Portfolio
Design a resume + personal website https://www.youtube.com/watch?v=nMK94JlKRb4
And have 3 projects on Github, one should have a web presence
Step 4 - Start Pitching for Jobs
Scheduling tool https://calendly.com/sirajraval/
Step 5 - Complete the Interview
Study Data Science Interview Questions on Glassdoor https://www.glassdoor.com/Interview/data-scientist-interview-questions-SRCH_KO0,14.htm
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