Course description
Tools of Data Analysis
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.
Upcoming start dates
Training content
- 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
Course delivery details
Course Access Time: 90 days
Certification / Credits
Credits: 0.5 CEUs / 5 PDUs / 5 HRCIs / 5 SHRMs
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Project Management Experts, LLC
Project Management Experts (PME) is just that, a consortium of project management experts with at least 20 years of experience who have re-directed their careers to improving the project management competency of our clients. Our training classes focus on building...