Transitioning from a DBA background to Data Science, focus on learning Python or R for data analysis, manipulation, and machine learning. Familiarize yourself with libraries like Pandas, NumPy, and Scikit-Learn. Also, learn data visualization tools like Matplotlib and Seaborn, and SQL for data querying. Understanding statistics and machine learning concepts will be essential for successful data analysis and modeling.
If you are interested in getting into this field, then check out this video about how Nagaraju Gooty achieved a career transition from DBA to a Data Scientist just after completing Advanced Certification in Data Science and AI from Intellipaat.
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