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Tools Of Data Analysis

Tools Of Data Analysis

Learn the limitations and benefits of statistical techniques

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.

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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

Course Schedule

TypeDateTimeLocation
Online (Self-paced)Enroll Any TimeN/AOnline

Tools Of Data Analysis

Course Fee(s)
Tuition non-credit - $95.00