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Statistics for Data Science

Learn to solve complex problems with data.

Limited spots.

About the Course

The University of Chicago’s eight-week Statistics for Data Science course will prepare you to leverage data and drive important decision-making processes. You will also learn to code at an introductory level, emerging prepared to enter the world of machine learning.

You Will Learn To:

  • Solve problems using statistical methods.
  • Manage and work confidently with data.
  • Interpret and communicate data effectively.


After successfully completing the course, you will receive a credential certified by the University of Chicago.


Methodologies and Techniques:

 R – RStudio

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Career Outlook

Data is a commodity, and statisticians who know how to code and understand data science are in high demand across industries. Statistics, the art of finding structure in and gleaning deeper insights from data, is among the most vital means of analyzing and quantifying uncertainty, and statistical methods are crucial to data science. The overall employment market for mathematicians and statisticians is expected to grow by 33% over the next decade.




The average annual pay for a statistician in the United States.

Source: Glassdoor



The ranking of statistician among the top 100 jobs.

Source: U.S. News & World Report L.P.



The expected CAGR of the global data science platform size from 2020 to 2027

Source: PR Newswire

  • Analytics Consultant
  • Data Insight Analyst
  • Data Scientist
  • Machine Learning Specialist
  • Statistician

Meet Your Instructor

These instructors teach this course regularly. Please speak to your enrollment advisor if you wish to know who the current teacher is.

instructor Gregory Bernstein

Gregory Bernstein, MSc

Data Scientist, Kinexon Sports and Media

Gregory Bernstein works as a data scientist and product manager for Kinexon Sports and Media, a branch of a Germany-based company that works with teams in the NBA, NFL, and other professional leagues to monitor athletes’ movement and exertion, provide consultation on load management, and optimize in-game performance.

Bernstein enjoys working in start-up environments and engages in analytical modeling, content creation, and strategic decision-making for product development. He earned a BA from Lafayette College in 2012 and an MSc in Analytics from the University of Chicago in 2019.

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Do you have questions?

The University of Chicago Approach to Online Learning

Our online learning programs are crafted with your specific needs in mind. Programs combine e-learning with live, interactive sessions to strengthen your skill set while maximizing your time. We couple academic theory and business knowledge with practical, real-world application. Through online learning sessions, you will have an opportunity to grow your professional network and interact with University of Chicago instructors and your classmates.

What Our Participants Say

"I intend to apply the frameworks I acquired in this course to building a career as a data scientist. I will combine these new skills with the knowledge of business processes I have accumulated over the last twenty years."

"This course helped me refresh concepts, learn about new use cases, and bolster my capabilities as a leader in a company where we create AI solutions."

“By directly involving students in the challenge of securing the right data and exploring potential solutions, we’re equipping them with the foundational skills required to deliver tangible results to clients.”

Register Now

Are you ready to take a leap forward and immerse yourself in a new learning experience? Register online or schedule a call to request more information. Enroll now and gain valuable knowledge and skills that will boost your career to the next level.