1. Python Basics: Python programming fundamentals.

2. Data Analysis: Working with pandas and numpy.

3. Visualization: Creating visualizations with matplotlib.

4. Machine Learning: Building ML models with scikit-learn.

5. Deep Learning: Neural networks and TensorFlow.

6. Deployment: Deploying ML models to production.