Overview Course

This specialized course covers the concept of business analytics with more focus on predictive analytics and its importance to any business organization. The course deals with basic principles, concepts, techniques and tools (RapidMiner) used in business analytics landscape. Also, this course covers different types of business analytics with real life use cases. Participants will understand the concept of data mining and analytics through an open source analytical tool. Participants will learn to use the tool for operations like data loading, data cleaning/preparation and building predictive models for a given business data. Through this course participants will acquire knowledge on how to use business analytics strategically in organization and to get the most benefit out of it.

Learning Outcome

Understand business analytics, different types and its impact on enterprises Understand the role of predictive analytics and its importance in industry Learn to apply data loading, data preparation and cleaning techniques Learn to apply the data mining techniques using an open source tool Acquire knowledge on predictive modeling with regression, rule induction, decision tree and neural network

Who should Attend?

  • Data Analyst – Statistics and Mining
  • Data Analyst – Text Analytics
  • Operations Research Analyst
  • Senior Data Analyst- Statistics and M

Eligibility Criteria

  • Participants are preferred to have min. 2 years of experience in software development, business domain or data/business analysis
This course is endorsed under Critical Infocomm Technology Resource Programme Plus (CITREP+) Programme.
To find out more about CITREP+ Funding, please refer to Programme Support under CITREP+ page

Information as accurate as of 6 August 2020