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.
After completing the course, you will be able to:
- Understand R and RStudio and their applications.
- Analyze the concept of hypothesis testing, work with data sets, build classification models, and interpret results.
- Comprehend the intricacies of logistic regression, evaluate its outputs, and understand how a link function works.
- Perform a Principal Components Analysis (PCA) and multiple pairwise comparisons and analyze models with multiple categorical predictors.
- Present a start-to-finish analysis with meaningful insights on a data set using exploratory analysis, dimension reduction, linear models, and classification models.
Earn a credential certifying completion from the University of Chicago and join the UChicago network.
Methodologies and Techniques:
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.
26.9
%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.
Gregory Bernstein, MSc
Data Scientist, Kinexon Sports and Media
Gregory Bernstein is a data scientist and product manager at Kinexon Sports and Media, a branch of a Germany-based company that works with professional leagues to monitor athletes’ motion and exertion, provide consultation, and optimize in-game performance.
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."
