MATH601 - Introduction to Analytics

Description:
This course provides an introductory overview of methods, concepts, and current practices in the growing field of statistics and data analytics. Topics to be covered include data collection, data analysis and visualization as well as probability, statistical inference and regression methods for informed decision-making. Students will explore these topics with current statistical software. Some emphasis will also be given to ethical principles of data analytics.

Outcomes:

• Describe data and evaluate its quality
• Apply descriptive statistics and data visualization techniques to summarize data
• Analyze basic probability concepts and distributions.
• Apply several inferential statistical methods to make decisions
• Apply several regression methods to solve business problems.
• Conduct analysis using a major statistical software package (e.g. Excel, SAS or SPSS) and interpret its results
• Explain ethical principles specific to data analytics

Required Text(s):

Peck, R., Short, T., & Olsen, C. (2020). Introduction to Statistics and Data Analysis. (6th edition). Cengage Learning. Looseleaf + WebAssign Bundle ISBN: 9780357294185.