MindEdge Learning
5 hours (0.5 CEUs)
Open Enrollment; 90 day access to course content
Self-paced; 5 hours
Online
$79 (discounts do not apply)
Course Description
Note: This course is one module within the Certificate in Data Analytics.
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
By the end of the course, learners 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
Key Features
- Mobile-friendly
- Audio-enabled
- Badge and credit-awarding
- Real-world case studies
- Fully accessible
- Games & Flashcards
- Expert-supported
- Video content
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