Tools of Data Analysis

Course Description

There are a number of statistical tools and techniques that are commonly used by organizations to inform decision-making. These tools span numerous business functions and support many different objectives. This intermediate-level course describes, evaluates, and analyzes different statistical techniques and their real-world limitations and benefits. The course features crossover analysis, break-even analysis, cluster analysis, decision tree analysis as well as an introduction to regression.

Learning Outcomes

After completing this course, the learner should be able to:

• Evaluate the usefulness of different statistical techniques and their real-world application
• Describe the various forecasting techniques and the benefits and limitations
• Describe the various types of regression analysis and their real-world application
• Analyze the results of a regression analysis
• Describe common problems with multiple regression
• Describe other statistical techniques and their real-world application
• Explain the advantages and disadvantages of various statistical techniques
• Choose a statistical technique based on a brief case study