Introduction to Data Analysis

Time limit: 30 days
0.5 credits

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After completing this module, you should be able to:

Explain why quantitative analysis and analytics is important in decision making

Explain the types of decisions that can be made analytically in an organizational setting

Describe different decision making models and tools

Identify the fundamental concepts of measurement including levels of measurement, reliability and validity, errors, measurement and information bias

Explain how quality data affects decision making (GIGO principle)

Describe methods of ensuring the quality of data

Evaluate techniques for ensuring accurate research design

Describe how research is used in different settings: business, education, health care, the military, government, nonprofits

Explain data management techniques including transforming data, recoding data, and handling missing data

Apply appropriate decision making techniques to a specific case

Total PDUs/Contact Hours: 5