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