COURSE AUTHOR –
1. Perform high-level mathematical and technical computing using the NumPy and SciPy packages and data analysis with the Pandas package
2. Gain an in-depth understanding of Data Science processes: data wrangling, data exploration, data visualization, hypothesis building, and testing
3. Master the essential concepts of Python programming, including data types, tuples, lists, dicts, basic operators, and functions.
4. Apply knowledge and actionable insights from data across a broad range of application domains.
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