Course Description
This course (INF1340H – Programming for Data Science) introduces programming fundamentals within the context of data science. Students will use a high-level programming language to develop, implement, and test algorithms for solving real-world, data-driven problems. Topics include data cleaning, transformation, analysis, visualization, and an introduction to machine learning. Emphasis is placed on practical programming skills, best practices, and applying techniques to diverse datasets across various domains.
This course can be used to fulfil the “Technical” Professional Requirement.
Note: Former name was Programming for Information Systems. Effective September 2019, new name is Programming for Data Science
- Syllabus Modular Format – Fall 2016
- Syllabus Fall 2016
- Syllabus Fall 2017
- Syllabus Fall (0101) 2018
- Syllabus Fall (0102) 2018
- Syllabus Fall 2019
- Syllabus Fall (0101, 0102) 2020
- Syllabus Fall (0103) 2020
- Syllabus Fall (0101) 2021
- Syllabus Fall (0201) 2021
- Syllabus Fall (0101) 2022
- Syllabus Fall (0102) 2022
- Syllabus Fall 2023
- Syllabus Summer 2024
- Syllabus Fall 2024
- Syllabus Summer 2025
- Syllabus Fall 2025
- Syllabus Summer 2026
Current Timetable
INF1340H Programming for Data Science
Lecture
LEC5101
Instructor:
- Victoria Chui
Schedule:
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Day(s): Wednesday Time(s): toType: