Boot Camps

Program Preparatory Boot Camps

To ensure students are ready to hit the ground running, we offer programming boot camps in R and Python to help students with varied backgrounds 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.

Boot camps are offered during spring and summer to prepare for beginning fall classes. Once you complete, the boot camps will be a continually available resource for you to return to for the entirety of the program.

Python Programming Boot Camp

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).

R Statistical Programming Boot Camp

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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