BUS 86
Business Analytics
Course Description
This course will explore the basics of analyzing data sets for business decision-making. Students will learn to interpret data and make recommendations for several business categories. Topics such as data visualization, forecasting, trend analysis, pricing, and data clustering will be included.
Class Details
| CRN | Course | Section | Days | Times | Instructor | Loc |
|---|---|---|---|---|---|---|
| 28659 | BUS 86 | 62Z | ······· | TBA-TBA | John Francis | ONLINE |
Class Dates: This class runs from 2025-09-22 to 2025-12-12.
Footnote:
BUS -086.-62Z: Fully ONLINE. This is an online class that does not have scheduled meetings. Students can log in anytime to do the required weekly course work. Students must have access to a computer, the internet and an individual email address. We recommend a laptop or desktop computer to successfully complete the course; a tablet or phone may not be adequate for all assignments and tests. Most De Anza classes will use the Canvas course management system. Information about Canvas and Online Education Orientation can be found in Canvas on the Student Resources page: https://deanza.instructure.com/courses/3382. The Student Online Resources hub with extensive information and tips can be found at deanza.edu/online-ed/students/remotelearning.
Class Materials
View textbook and/or other materials available at the Bookstore.
Course Details
- Units
- 5 Units
- Hours
- Weekly Lecture Hours: 5
- Weekly Lab Hours: 0
- Program Status
- Program Applicable
- Credit
- Credit - Degree Applicable
- Grading Method
- Letter Grading
Requisite and Advisory
- Advisory
- ESL D272. and ESL D273., or ESL D472. and ESL D473., or eligibility for ENGL C1000 or ENGL C1000H or ESL D005.
- Elementary algebra or equivalent (or higher), or appropriate placement beyond elementary algebra