Course Description
Types of data analytics. Connecting business problems to analytics techniques and methods. The analytics process: identification, extraction, cleaning, transformation, analysis, and interpretation. Producing and improving data science and machine learning models and assessing their performance. Data analysis and modelling using Python.
Prerequisites
Corequisites
Schedule
| This Course was not Offered During Spring/Summer 2025 Term |
| This Course was not Offered During Fall 2025 Term |
| The tentative timetable is not yet available for the Winter 2026 Term |
| The tentative timetable is not yet available for the Spring/Summer 2026 Term |
