Data Analytics Course & Machine Learning

The 4 main projects concerning the course are:

Project 1-Predicting Profitability with Rapid Miner

Develop regression and classification algorithms in RapidMiner and R to analyse customer behaviour and predict future profitability of Blackwell Electronics, a fictional electronics retailer.

Project 2- Deep Analytics and Visualisation

2 problems to solve for two fictional clients:

• uncovering patterns of energy usage for cleaner energy design
• using wifi fingerprinting to determine indoor locationing with GPS

You'll use R to create complex visualisations, descriptive statistics, and predictive models for both problems.

Project 3- Web Mining

As an analyst for a major data analytics firm, your client, Helios, needs to understand how mobile devices are used by aid workers in developing countries. You will crawl large amounts of smartphone data from AWS to construct a predictive model for aid workers' device usage. You will visualize your model and present it.

Project 4 -Design your own Analysis

In the final month of the Data Analytics Course, you will work with the Program Owner to design your own project, for example learning Python to predict and visualise global economic patterns in financial markets.