This course is offered online and it is recommended you complete a short self-assessment to ensure readiness before taking an online course.
This course is designed to introduce business students to statistical analysis in order to analyze and transform data into useful information, identify and anticipate trends and outcomes, and ultimately make smarter, data-driven business decisions. The course covers the process, technologies, applications, tools, and skills required to analyze data so that informed and timely decisions can be made. Students will learn the methodologies, techniques, and tools (such as Structured Query Language (SQL), Excel, and Tableau) for visualization, inference, forecasting, optimization, simulation, and data mining.
- Lecture hours/semester: 48-54
- Homework hours/semester: 96-108
Textbook: View textbook in Bookstore
Instructor:
Sujata Verma, vermas@smccd.edu
Fee Description | Type | Amount |
---|---|---|
Book-Inclusive Digital Acc-CSM | Flat Fee | $58 |
Section Information as of Sunday, December 22 2024 - 07:54:32 am
Course status: Open
InstructorSection | Meeting Date | Meeting Time | Days | Building | Room | Section | Section Description |
---|---|---|---|---|---|---|---|
Instructor: Sujata Verma | 01/27-05/22 | Online course | 0000 | OLH | Online |
Critical Dates for this Course | Date |
---|---|
Last day to add class | February 6, 2025 |
Last day to drop with a refund | February 5, 2025 |
Last day to drop without a "W" | February 17, 2025 |
Last day to drop with a "W" | April 25, 2025 |
Last day to change to Pass/No Pass Grading Option | May 22, 2025 |