To transition to Data Analytics from Banking & Finance, you need strong analytical skills, programming proficiency in Python or R, knowledge of SQL for data querying, familiarity with data visualization tools like Tableau or Power BI, and a solid understanding of statistics and data manipulation. Additionally, learning machine learning fundamentals and staying updated with industry trends will boost your prospects in Data Analytics.
If you are interested to getting into this field then check out this video about how Arun achieved career transition into Data Analytics domain with the help of Intellipaat’s Master's in Data Science Program Online
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