• Enrollment system is currently unavailable. We apologize for the inconvenience. Please try again later.

Data Visualization for HCM

The collection and analysis of, as well as the insights from, data are important in running every aspect of the enterprise, including human capital management (HCM). With vast amounts of data created at an ever-increasing speed, it becomes even more critical to create a common visual language to understand and interpret the data and to communicate insights. The ability to present data visually for any type of audience—using a mix of numbers, images, and graphs—is a critical skill for today’s business leaders. In this course, explore different principles and best practices for communicating data and creating visual stories using a wide variety of tools such as Tableau. Having completed this course, you will be able to pick the appropriate visual representation for data. The course starts with the fundamentals of visualization and databases, and subsequently focuses on advanced features to plot time series and maps, create dashboards, and eventually publish visual stories. Topics covered will include fundamentals of data visualization and historical perspective and primary data analysis using SQL. Also, learn about knowing your audience, choosing the right visuals, and publishing.

Registering at least three weeks prior to the course start date is highly recommended.

More details

You'll Walk Away with

  • The ability to select, describe, and summarize the data that can be used to create visualizations
  • The skills to create narrative story outlines for data visualizations
  • The knowledge to design effective data visualization using Tableau
  • The skills to create repeatable processes to publish insights to be consumed by enterprise leaders

Ideal for

  • Human capital management professionals
  • Those interested in entering or furthering their career in the field of human resources

1 section

  • Summer 2024

    • Section

      001
    • Semester

      Summer 2024
    • Date

      Aug 8 - Aug 9
    • Day

      Th, F
    • Time

      1:00PM-5:00PM
      • Online
    • Format

      Online
      • Online
    • Sessions

      2
    • Location

      Instructor Led