Statistics for Data Science
offered by University of Chicago

Private University
217 acre campus
Estd. 1890

Statistics for Data Science
at
University of Chicago
Overview

Gain an advantage in today’s competitive job market by learning to code and to understand data science

Duration	8 weeks
Total fee	₹2.34 Lakh
Mode of learning	Online
Official Website	Go to Website
Course Level	UG Certificate

Statistics for Data Science

Table of content

Overview
Highlights
Course Details
Curriculum
Faculty
Placements
Entry Requirements

Statistics for Data Science
at
University of Chicago
Highlights

Earn a certificate from the University of Chicago
Learn from industry experts

Statistics for Data Science
at
University of Chicago
Course details

Skills you will learn

Anova Regression Data Science Software Testing Statistics Hypothesis Testing

Who should do this course?

For individuals who want to enhance their knowledge & skills in the field

What are the course deliverables?

Build a classification model and interpret results
Understand the concept of hypothesis testing
Learn the intricacies of logistic regression, evaluate its outputs, and comprehend how a link function works
Handle a data set to produce a specified set of results
Perform a Principal Components Analysis (PCA) to provide meaningful insights on the original data set
Perform 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

More about this course

The University of Chicago’s eight-week Statistics for Data Science course will prepare you to solve complex challenges with data and drive important decision-making processes
You will learn to code at an introductory level and take the first steps to becoming a data scientist
Statistics for Data Science is a highly practical course that will provide you with the foundational tools to solve data science problems and prepare you to take the next steps in the world of machine learning

Statistics for Data Science
at
University of Chicago
Curriculum

Week 1: Introduction to Analytics and Modeling

Week 2: Random Variables and Hypothesis Testing

Week 3: Clustering

Week 4: Principal Components Analysis

Week 5: Linear Model I

Week 6: Linear Model II

Week 7: Logistic Regression

Week 8: Analysis of Variance (ANOVA)

Statistics for Data Science
at
University of Chicago
Faculty details

Gregory Bernstein, MS

Gregory Bernstein works as a data scientist for Kinexon Sports and Media, a small 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 regarding load management, and optimize in-game performance. His work 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.

Statistics for Data Science
at
University of Chicago
Placements

Particulars	Statistics (2025)
% Batch placed	70

View placement details

Statistics for Data Science
at
University of Chicago
Entry Requirements

PTE

No specific cutoff mentioned

Other eligibility criteria Up Arrow Icon

Education: Graduate

Conditional Offer Up Arrow Icon

Yes
No programs at the University of Chicago offer conditional admission to students who have not submitted an application following the standard application process and deadlines. A few will make conditional offers of admission to students who otherwise have met the requirements for admission, but do not yet meet the program's English proficiency requirements. If you receive a conditional offer, you will not be allowed to enroll until you have met the requirement; the conditions may not be met after arrival on campus.
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