Overview

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By taking this course, you will master the strategic principles and practical applications of HR analytics to make data-driven decisions that elevate your organization. You will learn to articulate the value of big data in human resource management, identify essential HR data types, and evaluate various data storage strategies. We will explore key techniques for analyzing workforce data, develop structured data collection plans while weighing their advantages and trade-offs, and examine the threats of big data—including critical concerns around confidentiality, employee privacy, and algorithmic bias. Using these core analytical frameworks, you will build hands-on skills to solve complex workforce challenges. You will perform basic data analyses, utilize foundational analytic tools, and learn to distinguish between correlation and causation while guarding against collection errors. You will also learn to present complex findings in clear, compelling visual formats. What sets this course apart is its balanced focus on technical data fluency, ethical privacy standards, and strategic business impact—empowering you to leverage workforce insights responsibly. Whether you are an HR professional, manager, or business leader, this course provides a clear, structured roadmap to transform raw employee data into actionable intelligence that drives organizational success.

Syllabus

HR and Data
- In this module, you will learn about big data and explore ethical and legal issues. You will examine workforce analytics and how to apply descriptive, predictive, and prescriptive analytics. The module also explores the advantages and criticisms of data-driven decision-making, focusing on how HR professionals use data.
Types of Data and Analysis
- In this module, you will look more closely at different types of data and analyses. You will learn ways to collect and analyze data, including the role of AI. The module examines the stages involved in planning an analysis. You will also compare different methods and sources of data collection.
Making Sense of Data
- In this module, you will delve more deeply into what your data is providing and how data might be misleading. You will learn concepts that help HR professionals to perform basic analyses and to effectively communicate data-related needs. The module also explores correlation, causation, reliability, validity, biases, and errors, as well as providing tools for data presentations.
Securing Data
- In this module, you will learn how to best secure and dispose of data, as well as advantages and disadvantages of different methods of storage. The module outlines data-related legal mandates and explores confidentiality, privacy, and discrimination. Case studies reinforce your understanding of data applications.

Taught by

MindEdge Learning

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