Events

When: Tuesday, February 27, 2024 | 6:00 PM - 7:30 PM Mountain Time

Location: ECCR 1B40 (Engineering Center)

Many statistics and data science questions are causal in nature. For example, Does low minimum wage cause poverty? Did the marketing strategy yield higher sales? What is the effect of race on police use of force? These questions seem to require more than just predicting an output variable from a set of input variables. Causal questions require an explanation. Why did a change in the minimum wage lead to a change in poverty? Do sales respond to the marketing strategy? If an individual’s race were different, would their interaction with the police have been different?

The tools used to answer causal questions require non-trivial assumptions about the underlying processes that generate the data. When data come from the social world, the assumptions are often politically and ethically charged. In this talk, we will explore issues in causal modeling. In particular, we will differentiate causal modeling from predictive modeling, explore some key assumptions and techniques to estimate causal effects, and analyze the social and ethical implications of causal modeling.

Event Flyer: Causal Modeling Data Science Talk with Dr. Brian Zaharatos

Note: Food provided, Join in-person or via Zoom

Watch Recording

Are you interested in pursuing a data science degree but are worried you do not have the prerequisite skills? Then, this webinar is for you! The CU Boulder MS in Data Science on Coursera program is a highly interdisciplinary program open to students from a variety of backgrounds – in fact, we have current students from over 50 different industries/academic backgrounds! While we do require you to be knowledgeable on topics, such as Python, R Programming, Calculus, and Linear Algebra, we offer non-credit courses so you can brush up on these skills. Join CU Boulder program staff and current students to learn about how to prepare for (and excel in) a data science graduate program without a STEM background. 

Audience: Prospective students, especially for those without a STEM background

Presenters: 

Kaitlyn Rye (Graduate Advisor MSDS on Coursera)

Mika Puseman (Course Coordinator MSDS on Coursera)

Jane Wall (Faculty Director of Data Science MSDS on Coursera)

Di Wu (Instructor for Python Fundamentals Course for MSDS on Coursera)

Current MSDS on Coursera students

Watch Now

When: Tuesday, October 10, 2023 | 10:00 AM - 11:00 AM Mountain Time

Join CU Boulder program staff to learn about the MS in Data Science program. You’ll hear about performance-based admissions, the interdisciplinary curriculum, and career outcomes for this 100% online degree program. Save your spot today and come prepared with questions.

Audience: Prospective students 

Presenters:

Kaitlyn Rye (Program Manager MSDS on Coursera)

Emerson Earthman (Course Coordinator MSDS on Coursera)

Emily Musumecci (Graduate Advisor MSDS on Coursera)

Register Here

When: Wednesday, January 10, 2023 | 9:00 AM - 10:00 AM Mountain Time

Join CU Boulder program staff to learn about the MS in Data Science program. You’ll hear about performance-based admissions, the interdisciplinary curriculum, and career outcomes for this 100% online degree program. Save your spot today and come prepared with questions.

Audience: Prospective students 

Presenters:

Kaitlyn Rye (Program Manager MSDS on Coursera)

Emerson Earthman (Course Coordinator MSDS on Coursera)

Emily Musumecci (Graduate Advisor MSDS on Coursera)

Register Here