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.
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.
Enrollment is open! Secure your spot—class starts January 27, 2020.
Start Your Degree If you're admitted to the Master of Science in Analytics (MScA) at the University of Chicago, your MasterTrack™ Certificate will count towards your degree.
About this Online Certificate Program
Learn evidence-based decision making techniques.
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.
100% online courses
$4,000
Option to pay all at once, or in four separate installments
Intermediate
You should have undergraduate education or professional experience related to statistics, basic programming (Python), and linear algebra.
Hands-on projects
English
Make Progress Towards Your Degree
If you are admitted to the full Master’s program, your MasterTrack™ Certificate counts towards your degree.
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
*Subject to change
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
$4,000
Option to pay all at once, or in four separate installments
Intermediate
You should have undergraduate education or professional experience related to statistics, basic programming (Python), and linear algebra.
Hands-on projects
English
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
Start January 27, 2020
Statistical Thinking I: Foundations
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 data specifically gathered for this program about one of the largest income-generating operations in the United States: property 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 house pricing.
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
MasterTrack™ Certificates are earned by completing a concatenation of graduate-level courses offered on the Coursera platform by some of the world's most elite universities. Those same universities may allow qualified, admitted students to apply earned MasterTrack™ Certificate credits towards related Master's degrees, leading to an affordable academic degree. Coursera does not grant academic credit, and does not guarantee that completion of a MasterTrack™ Certificate will result in academic credit; the decision to grant, accept, or transfer academic credit is subject to the sole and absolute discretion of an academic institution.
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