What programming languages and tools are fundamental for someone starting a career in Data Science, and how can a fresher become proficient in them?

Question

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

Answer 1

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.

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