Jon Krohn speaks with Shashank Kalanithi, the man who makes a sport out of YouTube and data analytics out of sports. Listen in as he talks about how he got started producing YouTube videos on data science, the essential differences between data science roles, and how data could shape the future of the sports industry.

This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• What motivated Shashank to start his YouTube channel [04:31]
• The must-have technical skills for every data scientist [16:59]
• The soft skills needed for data science [20:52]
• The differences between data analyst, data scientist and data engineer [24:26]
• How data are currently being applied in the sports industry [38:38]
• The “needs” divide between digital native and traditional companies [45:34]

Additional materials: www.superdatascience.com/623

623: Data Analyst, Data Scientist, and Data Engineer Career Paths 01:11:17 Share

Super Data Science: ML & AI Podcast with Jon Krohn

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623: Data Analyst, Data Scientist, and Data Engineer Career Paths