Business Analytics with Python

Catalog description

Python has become essential for data analysis in recent years. Research shows that Python is the most popular and growing programming language for business analytics mainly because it is flexible, easy to learn, easily accessible due to its open-source nature, and well supported by plenty of useful analytics libraries since it is heavily used in industry and academy. This course provides students with the required knowledge of working with popular Python data analytics libraries such as Pandas, NumPy, Matplotlib, SciPy, and Scikit-Learn as well as basic programming with Python such as Python syntax, data structure, conditional statements, and functions. Some topics covered include data retrieval and manipulation with Pandas (Python's most popular library for data analytics) and SQL, data visualization with Matplotlib, statistical distributions with NumPy, hypothesis testing with SciPy, and multiple regression with Scikit-Learn.