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Tools of Data Analysis

$79
Self-Paced5 Course Hours | 12 Weeks
View Course
Data Analytics
Tools of Data Analysis

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.

credits

  • PMI PDUs: 5
    • Leadership PDUs: 1.5
      • Strategic & Business Management PDUs: 1
        • Technical PM PDUs: 2.5
          • IACET CEUs: 0.5
            • HRCI Credits: 5
              • SHRM PDCs: 5

                features

                • Mobile-friendly
                • Badge and credit-awarding
                • Real-world case studies
                • Fully accessible
                • Games & Flashcards
                • Expert-supported
                • Video content
                • Audio-enabled

                learning Outcomes

                • 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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