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:
Denise Hum, humd@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 Thursday, November 7 2024 - 12:32:39 pm
Course status: Open
InstructorSection | Meeting Date | Meeting Time | Days | Building | Room | Section | Section Description |
---|---|---|---|---|---|---|---|
AA - Lecture and/or Discussion
Instructor:
Denise Hum
Meeting Date: 01/14-05/15 Meeting Time: 12:35pm-1:50pm Days: T, Th Building: 08 Room: 8304 |
01/14-05/15 | 12:35pm-1:50pm | T, Th | 08 | 8304 | AA | Lecture and/or Discussion |
AA - Laboratory/Studio/Activity
Instructor:
Denise Hum
Meeting Date: 01/14-05/15 Meeting Time: 2:00pm-3:15pm Days: T, Th Building: 08 Room: 8304 |
01/14-05/15 | 2:00pm-3:15pm | T, Th | 08 | 8304 | AA | Laboratory/Studio/Activity |
Critical Dates for this Course | Date |
---|---|
Last day to add class | January 27, 2025 |
Last day to drop with a refund | January 27, 2025 |
Last day to drop without a "W" | February 2, 2025 |
Last day to drop with a "W" | April 23, 2025 |
Last day to change to Pass/No Pass Grading Option | May 15, 2025 |