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  • 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:
    6 modules / 16 video lessons Our online programs are self-paced. On average, students take 12 hours to complete this course (2 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.
  • ELIGIBLE FOR:
    certificate + SHRM Upon completion you will receive an official certificate of completion. The certificate id will enable you to add it to your LinkedIn profile.
    This course is eligible for personal development credits with the SHRM.
  • SOFTWARE:
    R studio (free)

Data Science in R

Predictive modeling is often considered the ‘Holy Grail’ in People Analytics. Very few people have the skills to build such predictive models. The Data Science in R course is here to help you develop exactly these skills.

As a data scientist within HR, you’ll dive deeper into your people data to find answers to relevant analytics questions. This course teaches you R’s fundamental data visualization techniques including themes and data layering using ggplot2. You will also learn to analyze, explain, and predict various popular HR Analytics topics, such as employee turnover.

Enroll nowDownload Syllabus

Start explaining and predicting

Combine HR analytics with R and develop both essential data manipulation and visualization techniques as well as more technically advanced methods including basic predictive analytics. We show you step-by-step how to apply these methods in today’s critical topics including engagement, turnover, and talent management.

Learning objectives

    • LEARNING OBJECTIVE 1
      Learn about available data analysis tools, considerations for selecting the right one for the job, and why R is the top choice for propelling your analytics and your career.
    • LEARNING OBJECTIVE 2
      Learn about the range of possible HR data sources and master the essential data cleaning, manipulation, and aggregation techniques.
    • LEARNING OBJECTIVE 3
      Learn the fundamental data exploration methods and statistical concepts you need for a solid HR analytics foundation.
    • LEARNING OBJECTIVE 4
      Learn to analyze, explain, and predict employee turnover in R.
    • LEARNING OBJECTIVE 5
      Learn R’s fundamental data visualization techniques including themes and data layering using ggplot2, the world’s premier data visualization package.
    • LEARNING OBJECTIVE 6
      Learn key talent acquisition and management metrics you can apply in your HR analytics practice today using your new suite of R skills.

See course outline

MODULE 1: Basic Tools and Data Sources


MODULE 2: Basic Statistics in R


MODULE 3: Analyzing Employee Turnover


MODULE 4: Analyzing Engagement


MODULE 5: Date Visualization in R


MODULE 6: Advanced Analytics


 

Download the course syllabus for the full detailed curriculum

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Data Science in R

$497

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  • COURSE:
    Data Science in R
  • ACCESS:
    12 months
  • TOOLS:
    R studio (available for free)
  • ADMISSION REQUIREMENTS:
    Basic experience working in R. See FAQ for more information.
  • GUARANTEE:
    30-day 100% money-back 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 develop new and in-demand skills.

  • 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.
  • PRACTITIONER COMMUNITY
    Solve problems together and find a little inspiration and expert perspective each and every day.
  • ROADMAP & RESOURCE LIBRARY
    Powerful tools that help you build a people analytics function and run projects faster. Learn more

SHRM approved provider sealAIHR is recognized by the Society for Human Resource Management to offer Professional Development Credits (PDCs) for the SHRM-CPSM or SHRM-SCPSM.

hrci provider sealAIHR 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 John

John Lipinski completed his Ph.D. in Cognitive Psychology at the University of Iowa, worked for three years as a post-doctoral researcher at the Institute for Neuro-informatics in Germany, and then at the U.S. Army Research Institute at Fort Benning, GA. He transitioned to the private sector where he now works as a data scientist in Human Capital/ HR Analytics and specializes in rigorous descriptive statistics, leading-edge predictive analytics, machine learning, text analysis, and performance measurement. The best part of his work is breaking down the complicated stuff into digestible pieces to help others make better people decisions.

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 are the admissions requirements for this course?

To succeed in this course you should have at least a basic familiarity with R and have some experience working with data (e.g. Excel).

For example, you should have R and RStudio installed, be able to import basic databases into R, and be able to complete some basic operations on that data.

You do NOT need to be an R expert. Indeed, simply completing this course and working with the code we provide will dramatically extend your knowledge of R and analytics more generally.

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.

Ultimately, you will build an HR analytics toolkit and a mindset that is 100% transferable to the job you have today, and the job you deserve tomorrow.

What are the roadmap and resources library about?

The people analytics roadmap and resources library are powerful tools designed to help you build a people analytics function and run projects faster.

The roadmap is an instrument that guides you through every step of the people analytics journey. Each step includes dozens of curated and exclusive resources.

OUR ALUMNI WORK AT

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