Data analysis process of wrangling, exploring, analyzing, and communicating data. Work with data in Python, using libraries like NumPy and Pandas. Data Visualization using Matplotlip an seaborn. apply inferential statistics and probability to real-world scenarios, such as analyzing A/B tests and building supervised learning models.