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Overview of BI and Data Analysis

As the amount of data companies collect continues to grow at a rapid rate, the ability to effectively transform that data into actionable information has become paramount for business growth and success. Business intelligence (BI) and data analytics enables businesses to make better decisions, improve processes, discover efficiencies, support customers, and reduce costs.

In this course, students will learn the complete analytics cycle, from determining requirements to extracting and disseminating information. It will cover the process, technologies, applications, tools, and skills required to analyze data so that informed and timely decisions can be made.

Students will also be introduced to Artificial Intelligence (AI), its relationship with data analytics and its impact. Various aspects of AI will be covered including its background, benefits, risks and challenges, as well as its future and careers. The course will also encompass how to measure AI and simulate intelligence, AI components and sub-domains, AI categories, its tools and analytics.

Topics include:

  • Analytics process and tools
  • Understanding data
  • Data warehousing and design
  • Big data
  • Hadoop
  • Cloud computing
  • Data visualization
  • Predictive analytics
  • In-memory computing
  • Data virtualization
  • Artificial Intelligence (AI) and AI Analytics

Practical experience:

  • Identify and analyze the best BI tools and vendors

Course typically offered: Online in Fall, Winter, Spring, and Summer (every quarter)

Prerequisites: None.

Next Steps: Upon completion of this class, consider enrolling in other required coursework in the Business Intelligence Analysis Certificate Program.

More Information: For more information about this course, please contact

Course Number: CSE-41221
Credit: 3.00 unit(s)
Related Certificate Programs: Business Intelligence AnalysisBusiness Management

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