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Data Foundations & Methods
Coursera MOOC / Non-credit 0

Data Foundations & Methods

About this course

This course builds foundational data literacy skills for people analytics. You'll learn how to define key HR metrics, apply basic statistical techniques, visualize workforce trends, and communicate findings in structured reports. You'll start by understanding common HR metrics such as headcount, turnover rate, and tenure. From there, you'll apply statistical methods to interpret engagement data and compare workforce segments. You'll also create visualizations that highlight trends and support decision-making. The course concludes with reporting techniques that help you present insights clearly and recommend actions. Through hands-on exercises, you'll practice calculating metrics, building charts, and compiling analytics reports. Designed for HR and business professionals entering people analytics, this course prepares you to work with workforce data confidently and communicate findings effectively.

C

56/100

CourseAsk score

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32/45
Who stands behind it
8/35
How complete the listing is
16/20

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What you'll learn

  • define key HR metrics
  • apply basic statistical techniques
  • visualize workforce trends
  • create structured reports
  • interpret engagement data
  • compare workforce segments
  • calculate metrics
  • build charts
  • compile analytics reports
Data Analysis #data literacy #data interpretation #data visualization #engagement data #statistical techniques #people analytics #analytics reporting #HR metrics #workforce trends #headcount analysis #turnover rate #chart building
$49.00

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