HR Data Science in R | Online Course
Predictive modeling is often considered the ‘Holy Grail’ in People Analytics. Very few people in HR have the skills to build such predictive models. The HR Data Science in R online course is here to help you develop exactly these skills.
In this online HR training, 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: this course starts with the basics.
only available as part of full access
23 video lessons + R Studio (available for free)
What you will do
Drive value with predictive HR analytics
As an HR analytics specialist with R skills, you are able to perform advanced statistical analyses to reveal powerful insights. Throughout this largely tutorial-style HR training, you will combine in-depth lessons with realistic cases. We will show you step-by-step how to work with R on real-world cases to develop and hone your skills.
+ course structure
Introduction to R
Data Management in R
Data Exploration & Visualization in R
Case: Analyzing the Effects of an HR Intervention
Case: Analyzing Engagement
Case: Analyzing Turnover
+ meet your instructor
Paul van der Laken, PhD
HR Data Scientist
Paul van der Laken started his career as a data scientist in the Human Resources domain. He strongly believes that data-driven decision making can help organizations attract, develop, motivate and retain their people more effectively and efficiently. In addition to his work as a data scientist, he is also an executive trainer at Erasmus University, Tilburg University, and the Jheronimus Academy of Data Science.
Advanced data analytics
Unlock a wide array of HR analytics possibilities, even with no prior programming knowledge.
Learn how to import any data format, combine datasets and explore your data in R.
Create powerful visualizations
Reveal valuable insights with basic and advanced data visualization techniques.
Practical HR cases
Hone your new R skills with realistic and diverse cases created specifically for HR professionals.
Learn in-demand HR skills by unlock the full power of the AIHR curriculum, including access to the HR Data Science in R course.
18 months full access
60-day money-back guarantee
Community & (live) events
Personal coachCompare pricing plans
All our programs include
Real-world projects & case-studies
Develop practical skills through working on real-world projects taught by the world’s best leading experts
Global HR practitioners community
Collaborate and solve problems on the spot by connecting with peers and HR professionals from around the world
Globally accredited and recognized programs that are designed to help you learn practical skills and succeed
Customize your learning path with your personal coach who is your one point of contact for everything AIHR
FREQUENTLY ASKED QUESTIONS
What is R?
R is the world’s premier programming language for analytics and data visualization. It is 100% free and open-source with an incredible user community that is constantly adding to its library of free packages. The power of R is applied every day at the world’s leading companies including Google, Facebook, Uber, and Microsoft.
What is predictive HR Analytics?
Predictive HR analytics uses data-mining techniques to learn from historical HR data and (business) outcomes in order to create predictive models about the future. Outcomes of such models can be of great strategic input to drive better, data-driven decisions in HR.
Popular use cases within HR are predicting employee turnover, absenteeism, and identifying potential high performers during the initial stages of the recruiting process.
SHOW MORE FAQS SHOW LESS
+ Why is this course relevant today?
Learning the skills we teach you in this course will put you at the forefront of the HR analytics movement.
Not only will you learn to master the technical skills required to handle critical data manipulation and visualization using R, but you will also learn more advanced statistical methods. You will even learn to build basic predictive models.
+ What are the admission requirements for this training?
To succeed in this course, it helps if you have some basic experience working with data in for instance Excel or PowerBI. However, no prior R or programming experience is required: this course starts with the basics.
+ Is there a fixed schedule?
No. This training is 100% online and self-paced! When you learn and how much time you spend each day, week, or month is up to.
In total, you will need to invest approximately 12 hours to finish the course.
+ How long do I have access to the course?
In total, you will have 12 months of access to the student portal, all lessons, and learning materials. All courses are also part of the Full Academy License, which gives you a total of 18 months of access to everything.
+ Are there subtitles available?
Yes. All our online trainings come with English subtitles. And this course also comes with additional Spanish subtitles!