Statistics in HR Course Icon
NEW COURSE
  • TYPE:
    online, self-paced Our online programs are self-paced. This means that all lessons are pre-recorded so that you can learn anytime, anywhere.
  • DURATION:
    4 modules / 12 hours Our online programs are self-paced. On average, students take 11 hours to complete this course (+-3 hours per module).
  • ACCESS:
    12 months You will have 12 months to finish this course. Upon completion you will keep full access to all lessons and materials for the remaining months.
  • COMMUNITY:
    12 months access included

Statistics in HR

The Statistics in HR course teaches you essential statistical knowledge including key concepts like probability and significance. When you apply these skills to solve the right problems, you will be able to create unique results and play a pivotal role in translating HR data into value-adding insights.

Even if you don’t have any experience crunching numbers and running statistical tests, this course will get you up to speed in no time. Upon completion, you will be able to quickly test practical hypotheses, know when to apply a certain type of statistical test, and how to interpret its outcomes.

Enroll nowDownload Syllabus

Learning Objective #1

Learn the core concepts of statistics and how to apply them within HR

Learning Objective #2

Grasp the concept of statistical significance and the different types of variables

Learning Objective #3

Learn to carry out unbiased sampling and develop a solid understanding of probability

Learning Objective #4

Learn to perform more advanced statistical tests in the form of regression analyses

Learning Objective #5

Apply statistical tests such as correlation analytics, T-test, and Annova.

Learning Objective #6

Learn about Structural Equation Modelling, the first step towards Machine Learning

Taking people analytics to the next level

To bring people analytics to the next level, it’s vital to start applying core statistical concepts. Testing hypotheses and understanding probability and significance are what will enable you to generate more strategic and meaningful insights. Finding a correlation is a good first step but seeing a cause-and-effect relationship is what you are really looking for. This is exactly what you will be learning with the Statistics in HR course.

See course outline

MODULE 1: Introduction to Statistics


MODULE 2: Methodology


MODULE 3: Basic Statistical Tests


MODULE 4: Advanced Statistical Test


 

Download the course syllabus for the full detailed curriculum

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Statistics in HR

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Enroll now
  • 4 self-paced modules
  • 14 video lessons
  • Reading materials & bonus videos
  • 12 hours of learning content
  • 12 months full access
  • 30-day 100% money-back guarantee We pride ourselves on high-quality programs. That’s why we offer a 30-day no-questions-asked 100% money back guarantee. If for any reason you are unhappy, just ask for a full refund.

Learn anywhere, anytime

We work together with the world’s leading practitioners and subject matter experts to develop courses that will help you acquire new skills and boost your career.

  • ONLINE ACADEMY PORTAL
    The online student portal enables you to learn at your own pace. It is fully responsive and works on any device with an internet connection.
  • SUPPORT & STUDENT FORUM
    Have a question? Simply contact your instructor. Use the student forum to connect with your fellow students.
  • ROADMAP & RESOURCE LIBRARY
    Powerful tools that help you build a people analytics function and run projects faster. Learn more

SHRM Refertification Provider SealAnalytics in HR is recognized by the Society for Human Resource Management to offer Professional Development Credits (PDCs) for the SHRM-CPSMor SHRM-SCPSM.

HRCI Approved Provider SealAnalytics in HR is an approved provider with the HR Certification Institute (HRCI®) and recognized to offer recertification credits. Click here to learn more.

Download Syllabus

browse the full detailed curriculum and structure (pdf)

Meet your instructor

Profile picture Mark Lawrence

Bastiaan Stokkel graduated in Social and Organizational Psychology. After graduating he has taught statistics at Leiden University and has worked as curriculum manager at the AIHR Academy before moving into an HR analyst role at Robeco, an investment firm. In teaching this course, he uses his experience as a teacher and analyst to show how statistics can be applied to HR data in a practical way. His expertise in the application of statistics in HR makes Bastiaan one of the best instructors in this field.

Why should I enroll?

To bring people analytics to the next level, it’s vital to start applying core statistical concepts. Testing hypotheses and understanding probability and significance are what will enable you to generate more strategic and meaningful insights.

Finding a correlation is a good first step but seeing a cause-and-effect relationship is what you are really looking for. This is exactly what you will be learning with the Statistics in HR course.

Is this course the right fit for me?

If you’re not sure this course is the right fit, just talk to one of our admissions advisors. They will help you determine which course is the right fit for your goals and needs.

Are there any prerequisites?

This is an entry-level course. No prior statistical knowledge or skills are required.

We do recommend that students have a basic understanding of HR Analytics, its process cycles, and possible applications.

What software do I need?

You don’t need any particular software to complete this course. There are many different software tools you can use to run statistical analyses, such as R, Excel or SPSS. It’s up to you which one you prefer. This course focuses on developing a solid understanding of key statistical concepts such as probability and significance.

You will learn which type of analyses there are when to apply them, and how to interpret the results. That is the ‘difficult’ part.
There are many demos and instructional videos out there that will show you how to run an analysis once you have selected the appropriate one.

OUR ALUMNI WORK AT

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Bring your People Analytics to the Next Level