By the end of this course, you will be able to use an open-source programming platform and its related packages to:
- understand the lifecycle of the analytics process
- prepare the data for predictive analytics
- use data visualisation techniques to communicate your findings
- perform modelling on predictive analytics (using unsupervised and supervised learning)
Introduction to Predictive Analytics
- What is predictive analytics
- Why predictive analytics
Data Preparation
- Collecting data from various data files
- Understanding data using descriptive analytics
- Preparing data for predictive analytics
Predictive Models
- Supervised Machine Learning techniques
- Unsupervised Machine Learning techniques
Model Comparison and Evaluation
Certification
Participants who meet at least 75% of the required course attendance and attempt the assessment will be awarded the Certificate of Performance.
