Mode of Study:
  Online Learning
  Upon successful completion of the module, student will receive an e-certificate by London School of Business and Finance.
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Course Provided by: Becker Professional Education

IMA Competency: Data Analytics, Data Visualization, Information Systems

Advanced Preparation Required: None

Course Level: Intermediate

Course Prerequisites: Foundations of data and analytics for the accounting profession

This course will be an overview of:

  • How to perform descriptive, predictive, and prescriptive analyses using tools available in Microsoft Excel
  • How to interpret the results of descriptive, predictive and prescriptive analyses
  • How to identify potential outliers and their potential effect on the analysis results
  • How to test and interpret model assumptions.
  • How to perform and interpret correlation
  • How to interpret correlation

This course is ideal for anyone who is interested to learn data analysis tools in Microsoft Excel.

After completing this course, the learner should be able to:

  • Identify common data analysis tools in Microsoft Excel
  • Prepare and interpret descriptive analytics
  • Prepare and interpret diagnostic analytics
  • Prepare and interpret predictive analytics
  • Prepare and interpret prescriptive analytics
  • Prepare and interpret correlation
  • Identify issues related to outliers and model assumptions


  • Timothy F. Gearty

    Timothy F. Gearty

    Faculty for Becker Programme: Technology: Artificial intelligence, blockchain, cybercrime

  • Ann Dzuranin

    Ann Dzuranin

    Faculty for Becker Programme: Performing and interpreting data analytics

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