The course is divided in two (2) parts and will cover the following topics:
Start by going over the Welcome & Explanatory Statement.
Part I: Data Visualisation using Python - Preparatory Notes
| Module 1 | Registration & Course Introduction |
| Unit 1 | Welcome & Explanatory Statement |
| Unit 2 | Signup & Consent Form |
| Unit 3 | About the Course And What to Expect |
| Unit 4 | About the Instructor |
| Unit 5 | How To Download a Copy of the Notes and Your Working Files |
| Module 2 | The Basics of Data Visualization |
| Unit 1 | Storytelling - What Story Do You Want To Tell? |
| Unit 2 | Types Of Charts - Their Purposes And How To Choose The Right One |
| Unit 3 | Choosing The Right Colours |
| Unit 4 | Common Pitfalls In Data Visualization |
| Unit 5 | Good Practices In Data Visualisation |
| Unit 6 | Reproducibility In Data Visualisation |
| Unit 7 | Data Sources |
| Module 3 | Data Visualization In Python - Matplotlib |
| Unit 1 | The Programmatic Visualisation Framework |
| Unit 2 | Using Matplotlib in the Jupyter Notebook |
| Unit 3 | Matplotlib Styles |
| Unit 4 | Tutorial A - Basic Necessities for Matplotlib |
| Unit 5 | Basics Plots - Lines, Bars, Pies And Scatterplots |
| Unit 6 | Plotting Distributions - Histograms And Box Plots |
| Unit 7 | Subplots And Small Multiples |
| Unit 8 | Matplotlib Basic: - Exercises, Practice, Solution |
| Module 4 | Tutorial - Data Exploration using Matplotlib, Pandas and NumPy |
| Unit 1 | Introduction |
| Unit 2 | How to load data file(s)? |
| Unit 3 | How to convert a variable to different data type? |
| Unit 4 | How to transpose a Data set? |
| Unit 5 | How to create plots (Histogram, Scatter, Box Plot)? |
| Unit 6 | How to generate frequency table and sample Data in Python? |
| Unit 7 | How to remove duplicate values of a variable? |
| Unit 8 | How to recognise and treat missing values and outliers? |
| Unit 9 | Summary |
| Module 5 | Conclusion |
| Unit 1 | Wrap Up - Preparatory Material |
| Unit 2 | Workshop Survey |
| Unit 3 | Acknowledgement |
Part II: Data Visualisation using Python - Workshop Material
| Module 1 | Training Material |
| Unit 1 | Workshop Slides |
| Unit 2 | Introductory Exercise |
| Unit 3 | ⇥Task 1 - Using matplotlib in the Jupyter Notebook |
| Unit 4 | ⇥Task 2- Making Basic Plots |
| Unit 5 | ⇥Task 3 - Plotting distributions |
| Unit 6 | ⇥Task 4 - Subplots and small multiples |
| Unit 7 | ⇥Task 5 - Matplotlib styles |
| Unit 8 | Using Visualisation for a Real-world Data Science Scenario |
| Unit 9 | ⇥Data Files |
| Unit 10 | End of Workshop Survey |
Ensure that you mark each section as ‘complete’ before progressing onto the next section.