STAT 1100: Introduction to Data Science using R
| Course Format | Lecture 3.0 h + Seminar 0.0 h + Lab. 1.0 h |
| Credits | 3.0 |
Course Description
Our next generation lives in a data-driven society and needs to be equipped with the knowledge and skills to keep up with the rapidly evolving digital world. In this hands-on introductory course, students learn about and practice data ethics, data wrangling, data classification, regression, clustering, supervised learning, and data visualization. Course assessments require students to apply data science techniques and workflows to real-world situations using industry-standard software.
Note: It is recommended that students have access to a current laptop computer. More details of the specifications will be discussed on the first day of class.
Prerequisite(s): One of the following: A minimum "C+" grade in Precalculus 12; a minimum "C-" grade in MATH 1152; or MDT 075. Prerequisites are valid for only three years.
Course Attributes (New Window)
Check course schedule availability » Check if this course is Transferable » Check Bookstore for required textbooks »