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Tools of Data Analysis

$79
Self-Paced5 Course Hours | 12 Weeks
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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
    • Specified - Strategic Business: 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

related courses

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