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Which technical skills, programming languages, and tools are vital for aspiring data science experts?

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To become a data science expert, one should master technical skills such as statistical analysis, machine learning, and data manipulation using Python and R programming languages. Proficiency in data visualization tools like Matplotlib and Tableau, as well as database management with SQL, is essential. Additionally, expertise in libraries such as TensorFlow and scikit-learn for machine learning and data analysis is crucial for success in this field.

If you are interested in getting into this field, then check out this video about Bhushan and how he learned Data Science being a fresher with the help of Intellipaat’s Advanced Certification in Data Science and AI.

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