Human Resource Analytics Course
Welcome to the Human Resource Analytics course! This course is designed to equip you with essential data-driven techniques and skills necessary to analyze and improve HR processes. By blending core data analytics principles with specific HR metrics, you will learn how to leverage data to make informed decisions, enhance workforce productivity, and drive organizational success.
Introduction to HR Analytics
This module dives into the world of HR Analytics, covering its definition, the importance of data analytics in HR, and the four key steps in HR analytics. You will also get a brief introduction to HR metrics, which will be explored in more depth later.
Metrics Measured by HR Analytics
Learn about the key metrics HR departments track and measure, including staffing, training and development, performance, adherence, absenteeism, and other critical HR metrics. These insights are foundational for making data-backed HR decisions.
Essential Formulas for HR Analytics
Gain hands-on experience with the formulas and functions that power HR analytics. From basic mathematical functions to more complex operations such as ranking, textual functions, date-time manipulations, and data lookup tools like VLOOKUP and INDEXMATCH, this module prepares you for efficient data manipulation.
HR Charts and Dashboards
This module focuses on creating impactful HR charts and dashboards using Excel. You’ll learn how to visualize HR Key Performance Indicators (KPIs) effectively and build dashboards that offer clear insights into your HR data.
Predictive Analytics
This module introduces predictive analytics in HR, helping you forecast future trends based on historical data. Predictive models are critical for workforce planning and development.
Introduction to Machine Learning
In this module, you’ll learn the basics of machine learning and how it can be applied to HR analytics. You will explore how to build a simple machine learning model to derive deeper insights from HR data.
Regression Models
Explore regression analysis, one of the most common methods used to predict outcomes based on HR data. You’ll dive into data exploration, univariate analysis, outlier treatment, and variable transformation, learning how to build a robust regression model.
Creating a Regression Model and Project
The final module brings everything together as you apply what you’ve learned in a real-world HR analytics project. You will use advanced evaluation metrics to assess model performance and make data-driven decisions.
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