From DBA to Data Analyst to Data Scientist with Ginger Grant

About Show #683

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!


Ginger is a Data Platform MVP, Idera ACE, and Microsoft Certified Trainer who shares what she has learned working with data technology at clients by providing training and talks to people around the world. Recently she became an author on the book Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning. She runs her own data consultancy practice to help clients analyze data using many different techniques including advanced analytics and Power BI.

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