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STAT 1100: Introduction to Data Science using R

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 Information:

Credits:

3.0

Additional Fees:

None

Repeat Limit:

2

Lecture Hours:

3.0

Seminar Hours:

0.0

Lab Hours:

1.0

Offered online:

False

Course outline(s):

None


2AR 2SC HUM LSC SCI SOC UT
None None None None None None None

Transfers:

No active transfer agreements found.

Inactive Transfers:

No inactive transfer agreements found.

Current Offerings:

Semester CRN Section Seats Waitlist Days Time Room Type Instructor
2025 10 10134 001 20 -T----- 1030-1220 A237 Lecture Hau Man Yeung
---R--- 1030-1220 A366 Lecture Hau Man Yeung

Previous Offerings:

No previous offerings found.