Big Data, Machine Learning, and their Real World Applications

I. July 3–July 14, 2023
II. July 17–July 28, 2023
Day & Time:
Monday–Friday, 8:00–11:00 a.m. or 12:00-3:00p.m. or 5:00–8:00 p.m.
Amanda Yang
Students with a basic understanding of algebra, geometry, statistics and computer programming will be most prepared for this course, but it is not required.

“I have gained invaluable skills in AI and Data Science.” – Rom F. | Glencoe, Illinois

Course Description

The exponential advance of data, cloud computing, and machine learning have transformed every industry from retail and banking to healthcare and education. This introductory-level course enables participants to navigate the new reality of the “data economy,” in which data is the “the new oil”—a ubiquitous and invaluable asset. Students will focus on the strategic use of data and innovative technologies to derive actionable business insights. Participants develop a strong foundation in data-driven thinking for solving real-world problems. They are introduced to a variety of popular technologies for data analytics and gain a familiarity with programming technology. Students will learn how to import, export, manipulate, transform, and visualize data; use statistical summaries; and run and evaluate machine learning models. Participants will learn and implement common machine-learning techniques and develop and evaluate analytical solutions.

Registration Guidance & Call Number(s)

Please note, this course may have multiple classes being offered in a particular session. Students should only register for one class and with one call number.

To view detailed information on a particular offering, click on the call number to be directed to the Directory of Classes catalogue.

Session 1 Classes

  • BIGD0101 (D01) | Call Number: 10445
  • BIGD0101 (D02) | Call Number: 10446

Session 2 Classes

  • BIGD0101 (D03) | Call Number: 10447
  • BIGD0101 (D06) | Call Number: 10449

Further guidance on the registration process can be found here.


Amanda Yang

Amanda Yang is a Senior Data Analytics Manager for the Walt Disney Company, where she leads a team of data analysts who study Disney+ user behavior. Through her work at Disney, she has become an expert on creating compelling stories that inform executives and team members on key strategies to drive growth. Prior to Disney, she was the founding member of the data team at New York Magazine, where she focused on trends in editorial content and contextual ad targeting. Outside of media and entertainment space, Amanda has also worked across multiple industries including advertising, home services, retail and software. She believes that data analysis is a fascinating tool that transcends industries and will provide a framework for strategic thinking and technical guidance to harness the power of data in your industry. Amanda holds a Bachelors in Political Science from DePaul University and has completed executive coursework at University of Illinois-Chicago and Northwestern University.

Back to the Course Guide

Specific course details such as topics, activities, hours, and instructors are subject to change at the discretion of the University. Not all instructors listed for a course teach all sections of that course.