Why earn your MasterTrack™ Certificate from the University of Chicago?

The University of Chicago is an urban research university that has driven new ways of thinking since 1890. Its commitment to free and open inquiry draws inspired scholars to our global campuses, where ideas are born that challenge and change the world. The University of Chicago is ranked #3 in the United States, and that high quality and rigor is a trademark of our MScA program. In all we do, we are driven to dig deeper, push further, and ask bigger questions—and to leverage our knowledge to enrich all human life.

How do I turn my MasterTrack™ Certificate into university credit?

Once you have completed your MasterTrack coursework, you may apply to the MScA degree from the University of Chicago. If admitted, your MasterTrack Certificate will equate to the first two classes in the program (approximately 18% of course requirements), allowing you to get a headstart on your degree.

Are additional materials required to complete this program?

No. The University of Chicago will provide all learning materials directly in the courses.

When will I have access to the lectures and assignments?

You will have access to your onboarding course and all available course content immediately after enrolling and paying. Once the first course officially begins, you’ll be able to ask questions from the teaching team, get feedback on your projects, and work with fellow peers on group assignments.

What will I get if I pay for the program?

You will get access to all MasterTrack courses. You will also get feedback from the teaching team on your projects. You’ll work with an elite network of peers towards your goals.

Can I take this program for free?

No. MasterTrack courses are available only to learners who have paid for the program.

What is the refund policy?

You will have two weeks after the start of the first course session to get a refund on your payment.

Is financial assistance available?

Financial assistance is not available at this time for MasterTrack courses.

Who can I contact if I have questions about enrolling?

Contact a program advisor at online@uchicago.edu.

University of Chicago Machine Learning for Analytics

Start Your Degree If you're admitted to the part-time Master of Science in Analytics (MScA) at the University of Chicago, your MasterTrack™ Certificate will count towards your degree.

About this Online Certificate Program

Advance your career with graduate level skills in data analytics, data science, and machine learning.

Data analytics and data science positions are growing exponentially across a variety of industries. With this online certificate program, you’ll study at the graduate level to gain the knowledge you need to advance in your career.

You’ll learn to apply mathematical theory and decision-making techniques that are vital to solving business problems through real-world projects designed by instructors from the University of Chicago. You’ll also benefit from graded instructor feedback and live sessions with groups of high-caliber peers.

By committing to online study for five months, you can earn the Machine Learning for Analytics MasterTrack Certificate and have the credentials in applied data science to land the job you want.

Want to learn even more about this program? Visit the University of Chicago website.

Watch the Informational Webinar

Informational webinar recording now available! Watch it today.

UChicago-webinar

What you will learn

Build an analytical model and interpret the results
Conduct exploratory analyses via single-mode and multi-mode cluster analyses
Conduct predictive modeling via Logistic Regression, Multinomial Logit, Classification, and Regression trees
Perform exploratory and confirmatory analyses using Python
Recognize, describe, and apply a variety of statistical techniques for univariate and multivariate statistical analyses

Skills you will gain

Predictive Modeling
Machine Learning
Python Programming
Logistic Regression
Multinomial Logit
Regression Trees
Univariate and Multivariate Statistical Analyses
Feature Engineering

100% online courses
Four payments of $1,000
Or pay all at once and save 5%
5 months to complete
Intermediate
You should have undergraduate education or professional experience related to statistics, basic programming (Python), and linear algebra.
Hands-on projects
Use statistical and machine learning techniques to answer real-world business challenges and create work samples that help you stand out in your job search.
Questions?
Contact a program advisor at online@uchicago.edu.
Make Progress Towards Your Degree
If you are admitted to the full Master’s program, your MasterTrack™ Certificate counts towards your degree.

What is a MasterTrack® Certificate?

With MasterTrack® Certificates, portions of Master’s programs have been split into online modules, so you can earn a high quality university-issued career credential at a breakthrough price in a flexible, interactive format. Benefit from a deeply engaging learning experience with real-world projects and live, expert instruction. If you are accepted to the full Master's program, your MasterTrack® coursework counts towards your degree.

Master’s Degree Learning

Take an online module of a Master's degree program that features live expert instruction and feedback combined with interactive team-based learning.

Boost Your Career

Receive a university-issued MasterTrack® Certificate from a top university that you can add to your resume and LinkedIn profile.

Build Your Portfolio

Demonstrate your skills through real-world projects and create work samples that help you stand out in your job search.

Start Your Degree

If you are accepted to the full Master’s program, your completed coursework counts towards your degree.

Interactive Learning Experience

You'll learn through readings, videos, graded assignments, real-world applied projects, and live global classroom sessions.

Live Global Webinars

Feedback from Instructors and Experts

Real-World Projects

4 Courses in this MasterTrack™ Certificate

Includes:

Pre-recorded videos
Live sessions and office hours
Real-world projects
Peer collaboration
Web and mobile access

Machine Learning: Statistical Thinking for Machine Learning

This course provides foundational knowledge in statistical thinking and introduces you to thinking critically about data analytics. You’ll begin working on a case study developed at the University of Chicago in which you’ll use a proprietary dataset to make real-world insights using statistical techniques.

Among other topics, you will learn about:

Sourcing, organizing, and managing data
Sampling, distributions, and the Central Limit Theorem
Measures of location and dispersion, correlation, and visualization
Statistical tests including t-tests, ANOVA, chi-squared, p-hacking, and multiple hypothesis testing
Bivariate OLS

Start Enroll by January 21, 2021

See all 4 Courses

Industry-relevant hands-on projects to build your portfolio

Overview: Projects in the UChicago Machine Learning for Analytics Program

You will generate real insights using a proprietary dataset specifically gathered for this program about one of the largest income-generating operations in the United States: real-estate taxes in Cook County, Illinois, which is the second-most populous county in the United States. The data are derived from existing public records, FOIA requests, and APIs. You will use statistical and machine learning techniques to answer real-world business challenges, and the results from your work may even directly affect the models that the Cook County Assessor uses to assess properties.

Project 1: Critical Analytics and Linear Modeling

You will work with actual real estate data. After wrangling the data, you will focus on applying exploratory data analytical techniques. Using parametric statistical tests, you will create an operational linear model to predict the value of residential properties. During this project, you will learn about the importance and effects of different variables on real housing prices.

What you will learn

Working with University of Chicago Data Cases
Basic data wrangling techniques
Applying Python
Exploratory data analytics with actual, applied data
Parametric statistical tests
Linear regression modeling
Thinking critically about the data, and deriving and reporting insights

Project 2: Advanced Modeling and Classification

You will continue to apply what you learned on property value prediction, but you will take your work a few steps further. You will now receive additional data on properties from multiple sources, utilize more complex data preparation techniques, and apply more advanced regression procedures. You will also face a new important challenge: explore and then model the odds of individuals to appeal the assessed value of their homes. This challenge was one of the most hotly contested political issues in the past years in Chicago. To work on this part of the project, you will also get a new data set.

What you will learn

Handling missing values
Data restructuring and transformations
Regression diagnostics
Advanced linear regression
Binary classification with logistic regression
Presenting insights on complex data

See all 5 projects

Instructors

Austin L. Wright

Assistant Professor at the Harris School of Public Policy

Greg Shakhnarovich

Associate Professor at the Toyota Technological Institute at Chicago and Associate Professor Part-Time in the Department of Computer Science

Gregory Bernstein

Instructor, Master of Science in Analytics and Data Scientist, Kinexon Sports & Media

Shree Bharadwaj

Instructor, Master of Science in Analytics

Frequently Asked Questions

The University of Chicago is an urban research university that has driven new ways of thinking since 1890. Its commitment to free and open inquiry draws inspired scholars to our global campuses, where ideas are born that challenge and change the world. The University of Chicago is ranked #3 in the United States, and that high quality and rigor is a trademark of our MScA program. In all we do, we are driven to dig deeper, push further, and ask bigger questions—and to leverage our knowledge to enrich all human life.

More questions? Visit the Learner Help Center.

Coursera does not grant academic credit; the decision to grant, accept, or recognize academic credit, and the process for awarding such credit, is at the sole discretion of the academic institutions offering the MasterTrack™ Certificate program and/or other institutions that have determined that completion of the program may be worthy of academic credit. Completion of a MasterTrack™ Certificate program does not guarantee admission into the full Master’s program referenced herein, or any other degree program.

Machine Learning for Analytics MasterTrack™ Certificate

About this Online Certificate Program

Watch the Informational Webinar

What you will learn

Skills you will gain

100% online courses

Four payments of $1,000

5 months to complete

Intermediate

Hands-on projects

Questions?

Make Progress Towards Your Degree

What is a MasterTrack® Certificate?

Master’s Degree Learning

Boost Your Career

Build Your Portfolio

Start Your Degree

Interactive Learning Experience

Live Global Webinars

Feedback from Instructors and Experts

Real-World Projects

4 Courses in this MasterTrack™ Certificate

Machine Learning: Statistical Thinking for Machine Learning

Industry-relevant hands-on projects to build your portfolio

Overview: Projects in the UChicago Machine Learning for Analytics Program

Project 1: Critical Analytics and Linear Modeling

Project 2: Advanced Modeling and Classification

Instructors

Austin L. Wright

Greg Shakhnarovich

Gregory Bernstein

Shree Bharadwaj

Frequently Asked Questions

Why earn your MasterTrack™ Certificate from the University of Chicago?

How do I turn my MasterTrack™ Certificate into university credit?

Are additional materials required to complete this program?

When will I have access to the lectures and assignments?

What will I get if I pay for the program?

Can I take this program for free?

What is the refund policy?

Is financial assistance available?

Who can I contact if I have questions about enrolling?

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