MESA8411

Programming for Data Science

This class will introduce essential programming concepts, data structures, and techniques focusing on data science applications. Students will learn what it means to write high-quality code. Additionally, topics such as testing, debugging, and exception handling will be taught. By the end of the course, students will have reviewed Python programming and be able to apply their knowledge to various data science problems. Topics include functions, recursion, loops, list comprehensions, elementary data structures, and reading and writing files. Completion of Python Programming Bootcamp strongly encouraged (contact gsehdonlineprograms@bc.edu to request access).

Course overview

Department
Measurement, Evaluation, Statistics, and Assessment
School
Lynch
Credits
3

Requirements fulfilled

No source-backed degree requirement is attached to this course yet.

Official evaluation summary

4.63 / 5

Based on 16 aggregate responses from BC Avalanche/Blue evaluations.

Data freshness

Course and evaluation data last updated 2026-07-23. Source details and limitations are documented in Data Sources and Methodology.

Instructors

  • Devan Walton
    Fall 2026, Spring 2026 · Official rating 4.75/5

Sections

  • Section 01
    Fall 2026 · Devan Walton · M 07:00PM-08:30PM · Offered