2535 - Tools of Data Analysis
3032111
Delivery Options
Online (Self-paced)
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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.
Please note: Access to this course will be granted as soon as possible but may take up to 1 business day.
Learner Outcomes
After this class, you will be able to:
- Describe linear programming as finding the "best" solution to a problem
- Explain how crossover analysis is utilized in decision making
- Explain the factors and assumptions involved in break-even analysis
- Apply the standard deviation rule to a special case of normal distributions
- Interpret the results of an ANOVA test
- Describe the various forecasting techniques and the benefits and limitations
- Identify regression analysis applications for purposes of description and prediction
- Describe other statistical techniques (time series analysis, cluster analysis, decision trees) and their real-world application
- Explain the advantages and disadvantages of various statistical techniques
- Choose a statistical technique based on a brief case study
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