Introduction to Predictive Analytics using Python

These videos are free open resources originally created for the short course, Introduction to Predictive Analytics using Python. Although the course is no longer running, you can still work through the content in your own time using the videos in this open resource. The videos will provide you with the skills to build a predictive model from the ground up, using Python. They will help you understand the data discovery process and how to make connections between the predicting and predicted variables. Through the analysis of real-life data, you will also develop an approach to implement simple linear and logistic regression models.  

In this open resource, you will learn how to build your own predictive model, with lesson topics including:  

• Classification and Regression concepts
• Key variable types
• Transforming and Converting Variables
• Linear Regression
• Datasets and problem scenarios
• The KDD Cycle 

This open resource is for anyone interested in building a predictive model from scratch, using python. A background in mathematics and statistics is recommended and previous experience with a procedural programming language is beneficial (e.g. Python, C, Java, Visual Basic). 

Advanced: Requires specialist knowledge