IAI 5120 Essential Concepts in Data Science

3 units
Interdisciplinary Artificial Intelligence
Faculty of Engineering
An introduction to the foundations of data science using a case study approach; overview of the data science process: types of tasks and models, data manipulation, exploratory data analysis, data summarization and data visualization; predictive modeling, descriptive modeling; reporting and deployment. Recommended prerequisite : It is recommended to have completed a course on statistics and probability. Although no specific programming background is required, students should be comfortable with computing technologies.

Components:

Lecture

Requirements:

Courses DTI 5125 , DTI 5126 , IAI 5120 , SYS 5170 cannot be combined for units.

Previously Offered Terms:

Fall

Organized

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Clear Expectations

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Learned a Lot

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Fair Assessments

57 responses

3.89

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