Data Science Fundamentals
Data Science Fundamentals
Designed for students with limited programming, statistics, or data analytics knowledge, this data science overview course is ideal for beginners, business analysts, or non-tech managers interested in the field.
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What you can learn.
About This Course
There are no pre-requisites, however, we recommend taking COM SCI X 414.20 Fundamentals of Software Development and Programming before enrolling in Data Science Fundamentals.
Winter 2026 Schedule
Enrollment limited; early enrollment advised. Visitors not permitted.
Enrollment deadline: January 11th, 2026.
School of Public Affairs Bldg. 1337
School of Public Affairs Bldg. 1337
School of Public Affairs Bldg. 1337
School of Public Affairs Bldg. 1337
School of Public Affairs Bldg. 1337
School of Public Affairs Bldg. 1337
School of Public Affairs Bldg. 1337
School of Public Affairs Bldg. 1337
School of Public Affairs Bldg. 1337
School of Public Affairs Bldg. 1337
School of Public Affairs Bldg. 1337
Enrollment limited; early enrollment advised. Enrollment deadline: January 11th, 2026.
This course applies toward the following programs
Data Science
Learn to leverage the power of big data to extract insights and improve decision making for real-world problems. Gain hands-on experience in data management and visualization, machine learning, statistical models, and more for a career in data science.
Quantitative Financial Analytics
Develop a deeper understanding of how to analyze and interpret financial data, using industry-leading tools to create advanced analysis modeling. Learn how to build a better business model or financial forecast, turning key metrics into bottom-line results. Formats: Online | In-Person