People Data Foundations: Metrics & Visualization
About this course
Transform from HR professional to data-driven people strategist with this 11-course program designed for the modern workplace. Starting with no analytics experience, you will build the skills to turn workforce data into insights executives act on. You will master HRIS fundamentals from data entry to report generation, create visualizations that reveal turnover trends and engagement patterns, and apply basic statistics to move beyond gut feelings to evidence-based decisions. Throughout the program, you will leverage AI tools including ChatGPT to translate technical findings into stakeholder-ready language while verifying outputs for accuracy. You will practice with real scenarios — calculating turnover rates, building decision matrices for promotions, diagnosing absenteeism spikes with fishbone diagrams, and creating engagement dashboards. Each course emphasizes practical application through role plays where you defend findings to skeptical VPs and explain complex metrics to non-technical audiences. Whether reporting survey results, predicting flight risk, or troubleshooting data quality issues, you will develop a complete people analytics toolkit. By the end, you will confidently extract HRIS insights, visualize workforce trends, apply statistical thinking, and communicate findings that drive strategic workforce decisions.
63/100
CourseAsk score
- What the provider tells you
- 39/45
- Who stands behind it
- 8/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- create data visualizations
- analyze turnover trends
- apply basic statistics
- generate reports from HRIS
- develop engagement dashboards
- communicate complex metrics to non-technical audiences
Course objectives
- build a foundation in people analytics
- transform HR practices through data-driven strategies
- practice real-world HR data scenarios
- develop a toolkit for effective people metrics analysis
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