Official Description

4.0 Continuing Education Units (CEUs)

This course will explore the fundamental analytic methods and tools used to collect, analyze and interpret business data to gain insight into and inform business decision-making. Special emphasis is placed on data modeling tools and techniques used by business analysts to accurately define and communicate business requirements , and to determine relationships, business rules and data management methods for any project.


Supplementary Information

30 hours in class plus approx. 10 hours of assignments.

Topics Covered

Data literacy and an analytical mindset have become valuable skills not only for data scientists, but for business managers as well. Explore fundamental analytical methods, use them to collect and analyze data, and learn how to translate the results into informed business decisions.

Featured topics include:

  • Data Management
  • Introduction to data modelling
  • Data modelling concepts
  • Data modelling techniques
  • Business rules analysis
  • Data Dictionary
  • Introduction to business analytics
  • What is a business centered on data?
  • Business analytics in decision making process
  • Business analytics process modelling
  • Introduction to basic business analytics
  • Introduction to advanced business analytics
  • The future of business analytics

Learning Outcomes

The course is designed to enable you to:

  • Acquire essential knowledge about data modelling and business analytics
  • Understand the role and impact of data analytics in business
  • Communicate data models and business analytics to various stakeholders
  • Apply data modelling techniques and manage data requirements
  • Conduct three fundamental types of data analysis: descriptive, diagnostic, and predictive

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