BUSINESS STATISTICS AND ANALYSIS (4 SCU)

Learning Outcomes:

Upon successful completion of this course, students are expected to be able to describe types of data, concepts of big data and business analytics, data processing steps, including data extraction, data understanding, data cleansing and transformation; differentiate between descriptive analytics, predictive analytics, and prescriptive analytics; apply basic statistical concepts and techniques; apply inferential statistical analysis; utilize the interpretation of statistical analysis results in decision making; use statistical software to analyze data; and propose analytics solutions to address various business challenges.

Topics:

The topics covered in this course include descriptive statistics, the basic probability theory, normal probability distributions, estimation techniques, as well as one-sample and two-sample hypothesis testing. The use of statistical software using Excel is introduced and encouraged in order to better present the data summary and automate statistical calculations.

Prerequisite(s): None