11 HR Analytics Courses Online
This article lists the twelve best HR analytics courses in the world today.
Getting started with HR analytics – also called People Analytics – is a big step for a lot of people and organizations. Common questions are: Where should I start? What tools do I need? What are common traps I should avoid? A Human Resource analytics course that answers these questions can be invaluable.
Courses range from basic statistical knowledge, HR data and metrics, to actually doing analytics and more. Because HR analytics as a topic covers a huge amount of content on different expertise levels, not every course is equally interesting for everyone. So if you feel like you are already proficient in one course’s subject, the next might be more relevant to you.
People Analytics Certificate Program by AIHR
People Analytics by University of Pennsylvania
HR Metrics & Dashboarding by AIHR
R Programming Fundamentals by PluralSight
R Programming by Johns Hopkins University
HR Data Science in R by AIHR
Data Mining with Weka by University of Waikato
Basic Statistics by University of Amsterdam
The Key Principles of Human Resource Management by University of Minnesota
Introduction to People Analytics by MIPT
People Analytics by Google re:Work
Please note that this list is compiled based on publicly available information. We have not tried the courses ourselves, with the exception of AIHR’s courses.
HR analytics course #1: People Analytics Certificate Program – AIHR Academy
Let’s be honest, this course is by far our favorite, and it may have to do with the fact that we created it! Designed as an “all-in-one” course for HR analytics managers, it is by far the most comprehensive course out there.
Related (free) resource ahead! Continue reading below ↓
People Analytics Resource Library
Download our list of key HR Analytics resources (90+) that will help you improve your expertise and initiatives. Your one-stop-shop for People Analytics!
This comprehensive HR analytics certification will teach you how to start using data to further improved, fact-based, people-decisions that will benefit both your organization and colleagues. You will complete the course as a People Analytics Specialist, ready with a full HR data analytics skill-set that will enable you to drive data-led decision-making throughout your HR department.
The course includes (among other things) over 30 video lessons, numerous quizzes, assignments, interviews with industry experts, and much more – all of which you can find in the course’s syllabus.
Upon completion of the course, you’ll receive a certificate from the AIHR Academy, the largest and most specialized institution in the field of online HR analytics courses in the world.
#2: People Analytics – University of Pennsylvania
The second Human Resource analytics course is an online course of the University of Pennsylvania (U.S.) on people analytics. The course is taught by three professors and introduces you to the major areas of people analytics, including performance evaluation, staffing, collaboration, and talent management. All subjects are illustrated by many real-life examples of HR analytics.
Additionally, the course provides an introduction to data management, commonly available data sources within organizations, different statistical techniques to analyze data, and common pitfalls in starting with people analytics.
The course takes around eight hours of study in total and you can do it for free. For a small price, you will have access to quizzes and a certificate of completion by the University. These quizzes are quite tough and they require you to pay close attention to the video lectures!
The biggest difference between #1 and #2 is the approach. The first course focuses on practitioners who will participate in or manage HR analytics projects. This course provides more of a high-level overview of HR analytics and some of its basics.
Start the course here.
#3: HR Metrics & Dashboarding – AIHR Academy
Our number three is the most hands-on of the people analytics courses listed here. This course is aimed at the HR professional who wants to get into working with data.
Our HR Metrics & Dashboarding course will equip you to drive fact-based HR decisions by mastering powerful reporting skills by getting the metrics right. You will finish the course as an HR Reporting Specialist, with a broad skill-set that covers the whole reporting process – from implementing essential HR metrics to automated reporting within intuitive HR dashboards.
The course focuses on doing analytics using Excel, PowerBI and Tableau. You will learn to:
- Leverage strategic workforce planning to make better decisions
- Calculate the Return of Investment (ROI) of HR interventions and selection methods
- Connect different data sets
- Clean and structure data
- Create interactive HR dashboards in Excel, PowerBI and Tableau (see below)
- and much, much more
All of this is offered in more than 25 lessons divided into 8 modules. Knowledge is tested using quizzes, assignments and applied exercises. Want to know more? Check the course’s syllabus.
At the end of the course, you will have learned how to create an interactive dashboard that combines multiple separate datasets. The dashboard is included below.
#4: R Programming Fundamentals
The fourth (and fifth and sixth as well) of our Human Resource analytics course is about R. You can do HR analytics in Excel sheets. However, Excel has some major limitations. R is an open-source tool for statistics, visualization and data modeling. The programming language for R is specially designed to work with data and to do statistical computing. It provides statistical techniques and visualization capabilities for large data sets, as commonly used in HR analytics.
R goes further than the traditional tools that are used for HR data benchmarking and analysis, like Microsoft Excel, Access, and SPSS. R combines all of them into a programming language that can quickly import, edit and visualize data. This does mean that R requires you to do some coding, making the learning curve steeper.
R is thus also harder to master compared to Excel. However, R does offer endless computational possibilities and enables you to do much more advanced analytics compared to Excel
To get started with R, we recommend the course R Programming Fundamentals by Summer of Skills. This course teaches you the very basics of R and gives you hands-on practice to get a feel of R. You can check out the course here.
#5: R Programming – Johns Hopkins University
Johns Hopkins University offers a more advanced course in R. This intermediate level course will take you roughly twenty hours to complete.
The course is taught by three professors. It starts off by teaching you the nuts and bolts of R, before diving into the more technical aspects of programing in R. At the end of the course, you’ll be able to run more advanced statistical techniques in R, including linear regression models.
The course is very popular, with over 400,000 students already enrolled. To enroll in this course yourself, you need to have at least basic experience in R.
To enroll, click here.
#6: HR Data Science in R – AIHR Academy
Predictive modeling is one of the most transformative tools available within People Analytics. It is a highly coveted skill-set, as very few people working in HR have the ability to build predictive models.
The HR Data Science in R course is your path to gaining these skills. You will learn how to use R to solve HR challenges and create predictive HR Analytics for engagement and turnover. No prior R or programming experience is required: we are starting with the basics.
The course covers data management in R, data exploration and visualization in R and 3 dynamic case studies, focused on different aspects of analysing data.
#7: Data Mining with Weka – University of Waikato
Weka is a data mining user interface. It has a visual and clickable interface which means you ‘drag and drop’ using your mouse instead of having to program as you would in R. This means that you can start this course without having to know how to program.
Weka offers both a wide array of data mining algorithms and ways to visualize data. Examples of machine learning algorithms include decision trees, Bayes, simple rules, clustering, and meta-classifiers. This course will explain all of these algorithms and their statistical backgrounds. This will help you understand the workings of data mining in general and how it can be applied to different sets of (people) data.
Weka is a free software, and professor Ian Witten from the University of Waikato (NZ) explains in a series of practical videos how it works. Within half an hour into this course, you will run your first data mining algorithms and you created your first decision tree.
This Human Resource analytics course is especially suitable for people who will not be analyzing data in their daily job but who wish to get a grasp of the fundamental techniques. Because of its user-friendly interface, Weka enables you to do a lot of different analyses in a short time-span. This helps you familiarize yourself with them quickly.
You can register for this free course here. On this page, you can also find more information about the more advanced follow-up courses.
#8: Basic Statistics – University of Amsterdam
In R, you learn how to use statistics to run algorithms. However, doing statistics without really understanding it, poses a risk. So whenever we talk about HR analytics certification, a statistics course needs to be included. In the end, data science is all about statistics. It is difficult to fully grasp the possibilities and pitfalls of HR analytics without a solid understanding of statistics.
The Basic Statistics course from the University of Amsterdam is taught by professors Matthijs Rooduijn and Emiel van Loon. The course explores basic statistical concepts such as correlation, regression, normal distributions, probabilities, sampling, confidence intervals, and different types of statistical errors. All these concepts apply to data science and form a required foundation for anyone looking to start with any form of analytics.
The course requires roughly ten hours of study in total. Basic Statistics is part of a five-module specialization called Methods and Statistics in Social Sciences, which dives even deeper into quantitative research methods. The other courses in this specialization are relevant for people analytics as well.
#9: The Key Principles of Human Resource Management – University of Minnesota
Another important aspect in HR analytics is… HR. This course focuses on the key principles of HRM and is taught by The Carlson School of Management at the University of Minnesota (U.S.). This course is especially relevant for people who are lacking experience in human resources management.
The Carlson School offers five courses that cover the basics of the people management process. The courses range from recruitment to hiring, onboarding, performance appraisal, and compensation management.
Professor Budd teaches the courses. The course includes reading material, tests and ends with an assignment. Every course takes around twelve hours. You can find more information here.
#10: Introduction to People Analytics – MIPT
As the title suggests, this course is an introduction to the basics of people analytics. Alex Dolinsky and Ilya Breyman of the Moscow Institute of Physics and Technology (MIPT) made this course for aspiring HR professionals and managers.
The entire course takes about 10 hours to complete and is split up into 7 parts with each a separate topic, including performance management, culture, motivation and engagement, compensation, recruitment, and workforce planning. Because the course focuses on aspiring HR professionals, people with more experience in HR will learn more by following the #2 Warton People Analytics Course.
The course includes several case studies. This is a very practical and fun part of the course. You can follow this course here.
#11: People Analytics by Google re:Work
This one is a bit different to the rest on this list. More so a learning guide, than a course, but nevertheless containing lots of useful information. Google offers a set of learning content for free access, under its re: Work project.
The concept of people analytics is explained, alongside four actionable guides which outline how to implement HR data analytics in your workplace.
Topics covered include fair pay practices, employee survey management, HR metrics identification and collection, and how to adopt an analytics mindset. More information here.
This article started with five HR online courses back in 2017. These were all the available courses at the time. Now there are 11 – and many more that didn’t make the cut. If there are any high-quality courses that you feel we’ve missed, please post them in the comment section below. We would be happy to add these HR analytics courses to this list!