This short course aims to provide an understanding of the principles of data and business analytics. Using real-life scenarios, you will learn to apply analytics processes, algorithms and methodologies to business problems using data to make informed business decisions.
We will provide you with the skills and knowledge required to understand the data analytics and data mining lifecycle (CRISP-DM). You will explore the roles and responsibilities in business analytics and learn how develop a data-driven strategy. A broad overview of key concepts and principles including descriptive analytics and predictive analytics will be provided. You will develop the ability to present data in an appropriate format for a range of audiences.
This short course can be completed in 10 weeks. Students are expected to take eight weeks to complete online materials and then work on a real-world project for themselves or their company/ organisation.
On completion of this course, students are expected to be able to:
- Demonstrate an understanding of CRISP-DM and all stages of the Data Mining Life Cycle
- Analyse a range of data types
- Approach business problems using data analytics
- Apply business analytics tools to generate business insights
- Present data in an appropriate format for a range of stakeholders