A developer aiming for a successful transition into Data Science should prioritize skills in programming (e.g., Python), statistics, machine learning, data visualization, and data manipulation libraries (e.g., Pandas). Additionally, they should acquire domain-specific knowledge and practical experience in data analysis and model building, often through projects and online courses. If you are interested in getting into data science field, then check out this video about Kadambari Jadhav being a developer how she upskilled in data science with the help of Intellipaat’s Data Science Course.
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