Boot Camps

Boot Camps are usually offered in spring and summer semesters. Apply early! Ensure you are ready to take on Big Data!

Program Preparatory Boot Camps

To ensure students are ready to hit the ground running, we offer courses to help our wide variety of students prepare for course material.

These boot camp classes for students develop a basic foundational vocabulary and technical competency in preparation for the official DSA courses.

Some pre-program boot camps are usually offered during spring and summer to prepare for beginning fall classes. Each of these boot camps will be a continually available resource for students for the entirety of the program.

This course teaches participants how to program in Python, including use of auxiliary libraries in various Python ecosystems. Participants are introduced to the iPython notebooks from the SciPy ecosystem, as well Python’s use across the spectrum of data science courses and topics. Many activities are focused on data ingestion, cleaning, manipulation, and restructuring (e.g., ETL).

This course teaches participants how to program, perform basic statistical modeling, and basic visualization using R and RStudio. Various key libraries and ecosystems are introduced to teach participants how R is integrated across the entire data science curriculum and lifecycle.

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