Request for Information


September 22, 2021


USD $2,500


Eight weeks
  • null


    This program is offered in English and Spanish

Course Format

Online learning with live, interactive sessions


Gregory Bernstein, MS;
Statistics for Data Science, the University of Chicago

Request for Information

Statistics for Data Science

Statisticians who can code and understand data science have an extra advantage in today’s competitive and dynamic job market. This course will prepare you to solve complex challenges with data and drive important decision-making processes. Learn how to code at an introductory level and take the first steps to becoming a data scientist.

Are you Looking to Boost your Career in a Thriving Field?

This course is designed for aspiring data scientists who would like to learn to code, those with a computer background, and those seeking to change careers. This course is the first step toward building your skill set for the world of data science.

Meet the Instructor

Gregory Bernstein, MS
Statistics for Data Science, the University of Chicago

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Gregory Bernstein works as a data scientist for Kinexon Sports and Media, a small branch of a German based company working with teams in the NBA, NFL and other professional leagues to monitor athletes’ movement and exertion, provide consultation regarding load management, and optimize in-game performance. Bernstein enjoys working in the startup environment and engages in analytical modeling, reporting and visualization, and product development. He earned a BA from Lafayette College in creative writing and economics in 2012 and graduated from the University of Chicago Master of Science in Analytics program in 2019. In addition to sports, Bernstein has a passion for teaching and education and has previously worked with the Princeton Review and as a TA for both the MS Analytics program and the Booth School of Business.

Career Outlook

Data is a commodity, and statisticians who know how to code and who 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 base pay for a statistician in the US


The ranking of statistician in US News and World Report’s 2021 Best Jobs


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

Potential Job Titles for Data Science-Applied Statistics

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