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Introduction to Data Science B: Visualization and Modeling

Data science has revolutionized the way our world works and how we understand it. Technology enables us to ask more questions of more data, but how do we go about using these tools effectively and ethically?

This course will introduce students to computer algorithms and the diversity of models they can generate, each with pros and cons. Students will use datasets from the natural and social sciences to answer real-world questions, pursuing questions and data relevant to their own lives. They will apply different facets of machine learning through R programming exercises deeply integrated into the course. By the end of the course, students will have developed a technical skill set that allows them to investigate any given dataset with strong coding abilities and a scientific approach.

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Session One
Course is Full
at the time of application
on the first day of session
Scheduled Class Time*
04:00 PM - 07:00 PM (PDT)

*The course will meet for two hours daily (Monday–Friday) for a live class during this window of time. The exact time will be set closer to the program start. In addition to the live meeting times, students will engage in out-of-class learning assignments such as assigned readings, group work, pre-recorded online lectures, and more.


This is an introductory course for students who find data interesting, but do not necessarily know programming and/or computer science ideas.