Join our comprehensive course designed to help you unlock the potential of data analysis using Python. Start with the basics in Jupyter Notebooks and refresh your knowledge before diving into essential data cleaning techniques, like handling missing values and merging datasets.

Discover exploratory data analysis through descriptive statistics and visualizations, and gain confidence in performing statistical analyses such as T-tests, correlation, and linear regression.

Learn about the exciting world of big data and parallel computing, all while enjoying hands-on exercises and receiving personalized feedback on your work.

Prerequisites: Participants should have basic knowledge of Python