Data Mining, Data Distributions, & Hypothesis Testing

Predictive Analytics    |    Intermediate
  • 10 Videos | 41m 35s
  • Includes Assessment
  • Earns a Badge
Likes 128 Likes 128
Purposeful information can be extracted from large data sets to determine what has, could, or should happen. Explore descriptive, predictive, and prescriptive analytics, including data mining, distribution models, and hypothesis testing.

WHAT YOU WILL LEARN

  • recognize key features of descriptive analytics
    recognize key features of prescriptive analytics
    recognize key features of data mining
    identify important data mining concepts and techniques
    identify data mining methods used for predictive analysis
  • identify features of a standard normal distribution
    list features of the Binomial and Poisson distributions
    recognize key features of hypothesis testing and its application
    recognize key features of one and two-tailed hypothesis tests
    match analytics problems to appropriate data mining methods

IN THIS COURSE

  • Playable
    1. 
    Descriptive Data Analytics
    4m 15s
    UP NEXT
  • Playable
    2. 
    Prescriptive Data Analytics
    2m 38s
  • Locked
    3. 
    What Is Data Mining?
    3m 13s
  • Locked
    4. 
    Data Mining Concepts and Techniques
    2m 54s
  • Locked
    5. 
    Methods for Data Mining
    3m 7s
  • Locked
    6. 
    Distributions and the Probability Density Function
    4m
  • Locked
    7. 
    Binomial and Poisson Distributions
    4m 48s
  • Locked
    8. 
    Introduction to Hypothesis Testing
    6m 37s
  • Locked
    9. 
    One and Two-tailed Hypothesis Tests
    3m 13s
  • Locked
    10. 
    Exercise: Choose an Appropriate Data Mining Method
    2m 21s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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