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From DBA to Data Analyst to Data Scientist with Ginger Grant

What does it take to become a data scientist? Richard chats with Ginger Grant about her experience talking to DBAs about getting into data analysis and data science. The conversation starts out describing the difference between analysis and science - Ginger describes analysts as using querying to generate dynamic reports in tools like PowerBI. Data science is all about algorithms. But either way, your knowledge of data and domain are key skills. You have an advantage as a working DBA, add some additional knowledge to your existing knowledge and experience to expand your career!

Episode 683 of the RunAs Radio podcast, hosted by Richard Campbell, titled "From DBA to Data Analyst to Data Scientist with Ginger Grant" was published on April 8, 2020 and runs 30 minutes.

April 8, 2020 ·30m · RunAs Radio

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What does it take to become a data scientist? Richard chats with Ginger Grant about her experience talking to DBAs about getting into data analysis and data science. The conversation starts out describing the difference between analysis and science - Ginger describes analysts as using querying to generate dynamic reports in tools like PowerBI. Data science is all about algorithms. But either way, your knowledge of data and domain are key skills. You have an advantage as a working DBA, add some additional knowledge to your existing knowledge and experience to expand your career!

What does it take to become a data scientist? Richard chats with Ginger Grant about her experience talking to DBAs about getting into data analysis and data science. The conversation starts out describing the difference between analysis and science - Ginger describes analysts as using querying to generate dynamic reports in tools like PowerBI. Data science is all about algorithms. But either way, your knowledge of data and domain are key skills. You have an advantage as a working DBA, add some additional knowledge to your existing knowledge and experience to expand your career!

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