Visit uwm.edu/sce/coronavirus for information about spring 2021.

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Introduction to Data Science

Gr. 9-12

This introductory course develops computational thinking and tools necessary to answer questions that arise from large-scale datasets. This course emphasizes an end-to-end approach to data science, introducing programming techniques in Python that cover data processing, modeling and analysis.

First, how can data be extracted that describes real-world phenomenon? This part of the course includes data collection, processing, cleaning (“munging”) and dealing with formatted and semi-formatted data (e.g., json). Second, how can data be modeled and used to make predictions? This includes methods in regression and classification, and experimental design. And third, how can the results of this analysis be understood and reasoned? This includes topics in visualization and methods for hypothesis testing and validation. The course involves hands-on analysis of a variety of real-world datasets, including economic data, document collections, geographical data and social networks. The class includes work on a real-world case study utilizing data and based on student interests.

This class is being offered live online. Logistical details will be provided to all registered participants a week before the course begins.

This course can be applied to the Data Science Certificate Track.

Instructor

Notes

Once your child is registered, there are no refunds or transfers. Refunds are made only for classes canceled by CFK&T.

Discount: If registering for six or more classes, please use discount code CFK6PLUS to receive 15% off. This does not include before or after care.

Dates and locations to be announced.

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