An introduction to the foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. The course teaches critical concepts and skills in computer programming and statistical inference in conjunction with hands-on analysis of real-world datasets, as well as social issues surrounding data analysis such as privacy and design.
- Lecture hours/semester: 48-54
- Lab hours/semester: 48-54
- Homework hours/semester: 96-108
Textbook: Zero Textbook Cost (ZTC) Course - View textbook and course related items in Bookstore
Instructor:
Bryan Swartout, swartoutb@smccd.edu
Most Mathematics courses have prerequisites that are listed as part of the course description in the Schedule of Classes. Before registering for a Mathematics course, be sure you have completed the stated prerequisite.
Section Information as of Monday, December 2 2024 - 05:43:41 am
Course status: Closed
InstructorSection | Meeting Date | Meeting Time | Days | Building | Room | Section | Section Description |
---|---|---|---|---|---|---|---|
HA - Laboratory/Studio/Activity
Instructor:
Bryan Swartout
Meeting Date: 08/19-12/09 Meeting Time: 1:10pm-4:15pm Days: M Building: 08 Room: 8319 |
08/19-12/09 | 1:10pm-4:15pm | M | 08 | 8319 | HA | Laboratory/Studio/Activity |
HA - Online
Instructor:
Bryan Swartout
Meeting Date: 08/19-12/09 Meeting Time: Days: Building: Virtual Room: Remote |
08/19-12/09 | Virtual | Remote | HA | Online |
Critical Dates for this Course | Date |
---|---|
Last day to add class | August 27, 2024 |
Last day to drop with a refund | August 27, 2024 |
Last day to drop without a "W" | September 2, 2024 |
Last day to drop with a "W" | November 13, 2024 |
Last day to change to Pass/No Pass Grading Option | December 9, 2024 |