Fundamentals of Data Analysis for HR

This course is designed to introduce HR professionals to the basics of data analysis and its application in human resources. Participants will learn how to collect, organize, analyze, and interpret HR data to make informed decisions and drive strategic HR initiatives.

The course covers:

• Introduction to data analysis in HR

• Types of HR data and their sources

• Basic statistical concepts for HR (mean, median, mode, standard deviation)

• Data collection methods and ensuring data quality

• Introduction to spreadsheet tools for data analysis (e.g., Excel, Google Sheets)

• Creating and interpreting basic charts and graphs

• Introduction to HR metrics and KPIs

• Basic data cleaning and preparation techniques

• Principles of data-driven decision making in HR

• Ethics and privacy considerations in HR data analysis

  
  

Through hands-on exercises and real-world HR scenarios, participants will gain practical experience in working with HR data. They will learn to perform basic analyses, create simple visualizations, and interpret results to inform HR practices.

This course is ideal for HR professionals with little to no experience in data analysis who want to develop foundational skills in working with HR data. It also serves as an excellent precursor to the more advanced HR Analytics and Data-Driven Decision Making course.