Data Science in R

This course will help you prepare for the role of an HR data scientist. As a data scientist, you’ll dive deeper into your HR (and finance) data to find answers to relevant analytics questions. You will learn the basics of doing statistical analyses in R and learn how to build a predictive model on employee churn.

Duration: 6 modules/weeks       Access: 12 months       Type: online, self-paced

Tutorial: Predictive Analytics

This course will help you prepare for the role of an HR data scientist. As a data scientist, you’ll dive deeper into your HR (and finance) data to find answers to relevant analytics questions. You will learn the basics of doing statistical analyses in R and learn how to build a predictive model on employee churn.

Duration: 6 modules/weeks

Access: 12 months

Type: online, self-paced

Learning objectives

Learn which data analysis tools are out there and understand which will be best to use in a given situation

Learn to analyze and predict employee turnover in R

  • Know which type of analyses are out there and when to apply them
  • Know where to get HR data how to handle it and apply common data-cleaning techniques
  • Learn which data analysis tools are out there and understand which will be best to use in a given situation
  • Learn to analyze and predict employee turnover in R
  • Know which type of analyses are out there and when to apply them
  • Know where to get HR data how to handle it and apply common data-cleaning techniques

Start Learning Now

Data Science in R

497.-

total $497 USD

Start Learning Now

Tutorial: Predictive Analytics

297.-

total $297 USD

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Student portal

Our online student portal is fully responsive so you can learn anytime, anywhere. It works on any device with an internet connection.

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Self-paced learning

All of our online courses are self-paced. You determine if you finish a 6-week course in just 1 week or in 52 weeks.

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Money-back guarantee

We pride ourselves on high-quality programs that actually work. That’s why we offer a 30-day 100% money back guarantee.

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Student forum

Learn from others by connecting with your fellow students on the student forum.

Need help? Talk to our Admissions Advisors

Need help choosing the course that fits your situation and career objectives? Our admissions advisors are here to help – schedule a free 15-minute call. Just follow the steps to add an event to the calendar of one of our admissions advisors.

Entry requirements

What are the entry requirements for this course?
In order to complete this course, you need to have at least a basic understanding and/or beginner level experience in R.

No worries if you don’t have any experience in R. There are plenty of free introductory courses out there. We tried tryr.codeschool.com and it’s a fun starting point. Very basic though but it gives a good feel of what R can do.

FAQ

What is R?
R is an open source programming language and software environment for statistical computing that is supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing predictive models software and data analysis.

In this tutorial, you will use the free R studio software.

See more FAQ questions

ABOUT YOUR INSTRUCTOR

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 Neuroinformatics 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 job is breaking down the complicated stuff into digestible pieces to help others make better people decisions.

If you need help deciding which course is the right fit for you, just schedule a free call with our admissions advisors.

If you have a question, we have an answer. If you need something, we’ll help you. Visit our FAQ or contact us anytime.

If you want to learn more about the academy and online learning, please visit how it works.

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