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
Data freshness
Instructors
Sections
- Section 01