·      Understanding business process and data relationship

·      Develop algorithms to identify data patterns

·      Apply predictive modelling methods when dealing with big data.

·      Evaluate algorithms in data visualisation of data sets

·      Applying computing and statistical techniques

·      Presenting predictive data modelling using data visualisation

This program is designed to initiate the journey of data analytics, to learn business management and decision making with data. Understand data from its purpose to use case, extend data preparation, use the data to model potential insight through standards and novel insight techniques. Evaluate the output and models to ensure high quality in the development of data analytics for business success. An understanding of data helps with improving business while understanding its historical implications allow for future data predictions.  

1. Business Understanding

• Determining Business Objectives, Assessing the Situation, Determining Data Mining Goals, Producing a Project Plan

2. Data Understanding

• Collecting Initial Data, Describing Data, Exploring Data, Verifying Data Quality

3. Data Preparation

• Selecting Data, Cleaning Data, Constructing New Data, Integrating Data, Formatting Data

4. Modelling

• Selecting Modelling Techniques, Generating a Test Design, Building the Models, Assessing the Model

5. Evaluation

• Evaluating the Results, Review Process, Determining the Next Steps

6. Deployment

• Planning for Deployment, Planning Monitoring and Maintenance, Producing a Final Report, Conducting a Final Project Review