Start by taking a single course
At CalSouthern, you have the option of enrolling in a course without committing to a degree program. It’s a fantastic way to get a feel for the CalSouthern online learning experience before enrolling. You can apply the credits you earn to a CalSouthern bachelor’s degree program, or, since CalSouthern is regionally accredited, the credits are readily transferable into a bachelor’s program at another institution, as well.* Or, maybe you simply want to gain college-level knowledge and expertise in a topic area of interest to you.
Choose from any of the undergraduate courses in CalSouthern’s School of Business. A vast selection of subjects are available, on topics as diverse as business communication, marketing, finance, human resources and international business.
Getting started is quick and easy. No entrance exams are required and you don’t have to provide official transcripts. Courses start every month and you’ll never encounter a closed course or waiting list!
*Although credits from regionally accredited institutions like CalSouthern are readily accepted by other universities, acceptance is at the discretion of the receiving institution.
Undergraduate Business Courses
BUS 2413 Business Statistics
This course provides an introduction to the construction and use of statistical models for business management; it applies descriptive and inferential statistics to business and economic problems. Topical coverage includes summarizing data, measures of central tendency, dispersion, probability, probability distribution, normal distribution, sampling, hypothesis testing, correlation, regression, and chi-square analysis.Learning Outcomes:
- Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
- Differentiate between different types of statistics.
- Interpret frequency distributions.
- Explore probability concepts.
- Analyze sampling methods and confidence levels.
- Explain the importance of hypothesis testing.
- Illustrate ANOVA concepts.
- Explain correlation coefficients and linear regression.
- Utilize multiple regression analysis.
- Perform data analysis using nonparametric methods.
- Practice ethical behavior in regard to information and information technology.