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
Previously Offered Terms:
Fall
Organized
84 responses
3.67
/ 5
Clear Expectations
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3.71
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Learned a Lot
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3.43
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Fair Assessments
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