The course is divided into several sections that cover essential areas such as Data Science basics, data analysis with Python, machine learning techniques, and statistical inference. You will explore the fundamental tools and workflows used by Data Scientists, including CLI, Git, and working with big data. You’ll also learn how to perform efficient data analysis using Python, with an emphasis on popular libraries like Pandas, NumPy, and Caret.
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