All Courses > STAT > STAT 1100
WARNING: This course is no longer offered by Langara. Information provided here is solely for historical purposes.
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.
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 |
---|---|---|---|---|---|---|
True | True | False | False | True | True | True |
Course | Destination | Credit | Start/End |
---|---|---|---|
STAT 1100 | SFU | SFU STAT 240 (3) Q | 20250101 to Present |
STAT 1100 | UNBC | UNBC STAT 1XX (3) | 20250101 to Present |
STAT 1100 | UVIC | UVIC STAT 123 (1.5) | 20250101 to Present |
No inactive transfer agreements found.
No offerings found for this semester (2025 20).
Semester | Seats | Waitlist | Days | Time | Room | Type | Instructor |
---|---|---|---|---|---|---|---|
2025 10 | Cancel | N/A | -T----- | 1030-1220 | Lecture | ||
---R--- | 1030-1220 | Lecture |