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Which essential languages and tools should a Data Science beginner master and how can they gain proficiency?

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Fundamental programming languages for Data Science include Python and R, while essential tools encompass Jupyter Notebook, pandas, and scikit-learn. Freshers can become proficient by taking online courses, tutorials, and coding challenges on platforms like Coursera, edX, and Kaggle. Building personal data projects and collaborating on open-source projects are effective ways to gain hands-on experience and deepen their skills.

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

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