1.1 - Overview of the Course

1.2 - Introducing Python

1.3 - Installing Python

1.4 - Installing Anaconda and Running Jupyter Notebooks

2.1 - Introduction

2.2 - Basic Concepts

2.3 - Strings, Lists, and Range

2.4 - Example: Using Python as a Calculator

2.5 - Functions

2.6 - Conditionals

2.7 - Loops and Statements

2.8 - Basic Plots

2.9 - Conclusion

3.1 - Introduction

3.2 - Arrays and Vectors

3.3 - Matrices

3.4 - Data Frames

3.5 - Useful Functions for Data Frames

3.6 - Importing External Data

3.7 - Working with Datasets

3.8 - Example: Natural Disaster Data

3.9 - Conclusion

4.1 - Introduction

4.2 - Example: Data Management in Practice

4.3 - Conclusion

5.1 - Introduction

5.2 - Object-Oriented Programming

5.3 - Mathematical Functions

5.4 - Statistical Functions

5.5 - Statistical Models: Introduction to Linear Regression

5.6 - Statistical Models: Introduction to Generalised Linear Models

5.7 - Conclusion

6.1 - Introduction

6.2 - Visualisation Techniques

6.3 - Advanced Visualisation Techniques

6.4 - End-to-End Example on Reporting

6.5 - Conclusion