TIM147: Introduction to Data Mining for Business
This course will introduce concepts, approaches, tools, methods for extracting useful knowledge and business value from data for business applications. Covers predictive models, descriptive models, model fitting, model overfitting, complexity, visualization, text mining, association mining, analytical thinking. Other topics may include social network mining, data science and business strategy. Prereq(s): CSE20 and CSE30; CSE 16; Math22 or 23A or AM 30; STAT 5 or STAT 7 and 7L; AM 10 or MATH 21; and AM 20 or MATH 24.5 credits
| Year | Fall | Winter | Spring | Summer |
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| 2023-24 |
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| 2022-23 |
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