MESA 8411 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
- Level
- Graduate
- Offered
- Annually
Course evaluations
- Course rating
- 4.63 / 5 · Excellent
- Instructor rating
- 4.75 / 5 · Excellent
- Terms evaluated
- 1
| Term | Instructor | Course overall | Instructor overall | Well organized | Clear learning objectives | Intellectually challenging | Helpful assignments | Applicable beyond course | Attendance necessary | Weekly effort | Responses |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Spring 2026 | Devan Walton | 4.6 | 4.8 | 4.7 | 4.9 | 4.4 | 4.8 | 4.8 | 3.9 | 7–9 hrs/week | 16 of 21 |