Statistical Analysis with Python

Introduction to Statistical Analysis with Python

Statistical analysis with Python refers to the process of using the Python programming language and its libraries, such as NumPy, Pandas, Matplotlib, and SciPy, to perform statistical computations, data manipulation, visualization, and modeling. This includes tasks like descriptive statistics, hypothesis testing, regression analysis, clustering, and more, making Python a versatile tool for analyzing and interpreting data in various fields such as science, engineering, finance, and social sciences.