From the University of Chicago Master of Science in Analytics

Machine Learning for Analytics MasterTrack™ Certificate

Master AI algorithms, data mining techniques, and predictive analytics. Solve real-world business problems using machine learning with the #3-ranked university in the U.S.

Earn a powerful university-issued career credential in as little as five months.
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Institution

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.

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
  • Course Mode

    100% online courses

  • Course Fee

    Four payments of $1,000

    Or pay all at once and save 5%

  • Duration

    5 months to complete

  • Intermediate Level

    Intermediate

    You should have undergraduate education or professional experience related to statistics, basic programming (Python), and linear algebra.

  • Projects

    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.

  • Course Language

    Questions?

    Contact a program advisor at chicagoMT@coursera.org.

  • Course Benefits

    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.

Graduation Cap

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.

Layer

Boost Your Career

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

MembersMembers

Build Your Portfolio

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

Stacked File

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

Live Global Webinars

Feedback from Instructors and Experts

Feedback from Instructors and Experts

Real-World Projects

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
CalendarStart January 11, 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

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

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

Austin L. Wright

Assistant Professor at the Harris School of Public Policy

Greg Shakhnarovich

Greg Shakhnarovich

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

Gregory Bernstein

Gregory Bernstein

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

Frequently Asked Questions

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.