Intermediate Python Programming and Data Visualization

In this course, we will explore techniques for extracting and preprocessing data using Python, applying descriptive analysis for decision-making, and utilising key data analytics libraries through hands-on activities. Additionally, we will examine the fundamentals of data visualisation, develop skills to create and share visual representations of analysis, and learn to analyse and critique visualisations. This course equips you with the tools to describe and interpret data effectively, enhancing their ability to make informed, data-driven decisions. 

Week 1 – Intermediate Python
 

1. Importing and Exporting Data 
2. Data Cleaning 
3. Data Processing Libraries 
4. Useful Built-in Functions 
5. Basic Correlation and Regression 

Week 2 – Data Visualisation with Python

1. Introduction to Data Visualisation  
2. Selecting Appropriate Visualisation  
3. Data Misrepresentation and Critique 
4. Generating Graphs and Charts in Python 
5. Data Reporting and Presentation