Data Analysis with Python

1. Introduction to NumPy and Pandas libraries and their role in data analysis 2. Learn to manipulate and analyse data using NumPy and Pandas 3. Understand the basics of data visualisation using Matplotlib, Seaborn, and Plotly libraries 4. Introduction to statistical modelling 5. Apply the concepts learned in a capstone project.

1. Setting Up 2. Data Structures 3. Manipulating Data with NumPy and Pandas 4. Data Analysis with Pandas 5. Visualising Data 6. Advanced Data Visualisation 7. Statistical Modelling with Python 8. Mini Project