This course will provide training on more advanced practices and procedures involved with Big Data analysis. The course is intended as a follow-up to the introductory Big Data course. Participants will learn how to use more advanced analytical techniques to analyze large datasets and draw conclusions. Participants will get hands-on experience with analysis of Big Data databases including significant exposure to multivariate analysis and scenario analysis. The course will also review the limitations of Big Data analysis and when Big Data is most and least useful.
Course Objectives
By the end of the course, the participants will be able to:
- Explain how to perform analysis of datasets using Big Data
- Run analysis techniques include regressions using a large dataset
- Use predictive analytics techniques in scenario analysis
- Examine tools in Big Data to help deal with issues like predicting loss events or pricing securities
- Identify key risk issues involved in Big Data analysis
Suggested Prerequisites:
- Big Data or equivalent knowledge
Program Level:Intermediate
Advance Preparation: Working Knowledge of Excel
Computers and Financial Calculators: Computers
Recommended CPE Credits: 7