An in-depth video course that introduces data analysis in Python, using popular libraries like NumPy for numerical computing, Pandas for data manipulation, and Matplotlib/Seaborn for data visualization. It covers practical examples and real datasets, teaching fundamental analytics skills and how to draw insights from data—an excellent starting point for aspiring data analysts to build a solid foundation in Python-based data analysis.
An in-depth video course that introduces data analysis in Python, using popular libraries like NumPy for numerical computing, Pandas for data manipulation, and Matplotlib/Seaborn for data visualization. It covers practical examples and real datasets, teaching fundamental analytics skills and how to draw insights from data—an excellent starting point for aspiring data analysts to build a solid foundation in Python-based data analysis.