Data Considerations in Analytics

Predictive Analytics    |    Intermediate
  • 12 videos | 55m 32s
  • Includes Assessment
  • Earns a Badge
Rating 4.6 of 233 users Rating 4.6 of 233 users (233)
Predictive analytics involves a wide range of statistical tools and methods that allow an analyst to build a powerful predictive model. Explore the importance of statistics and probability theory in predictive analytics.

WHAT YOU WILL LEARN

  • Recognize the role of statistics in predictive analytics
    Recognize attributes of qualitative, quantitative, discrete, and continuous data
    Recognize features of data measurement scales
    Recognize features of descriptive and inferential statistics
    Recognize basic features of probability and the types of probabilistic events
    Apply addition and multiplication rules for a probabilistic event
  • Apply bayes theorem in a given situation
    Distinguish between permutations and combinations
    Recognize how to reduce the margin of error
    Recognize how confidence intervals (ci) are used for hypothesis testing
    Recognize key features of testing for differences in mean and testing for differences in proportion
    Determine if a data sample is representative of the data population

IN THIS COURSE

  • 3m 8s
    Upon completion of this video, you will be able to recognize the role of statistics in predictive analytics. FREE ACCESS
  • 6m 3s
    Upon completion of this video, you will be able to recognize attributes of qualitative, quantitative, discrete, and continuous data. FREE ACCESS
  • Locked
    3.  Data Measurement Scales
    5m 25s
    Upon completion of this video, you will be able to recognize features of data measurement scales. FREE ACCESS
  • Locked
    4.  Descriptive vs. Inferential Statistics
    2m 56s
    Upon completion of this video, you will be able to recognize features of descriptive and inferential statistics. FREE ACCESS
  • Locked
    5.  Probability Overview and Probabilistic Events
    6m 39s
    After completing this video, you will be able to recognize basic features of probability and the types of probabilistic events. FREE ACCESS
  • Locked
    6.  Addition and Multiplication Rules
    5m 22s
    Find out how to apply addition and multiplication rules to a probabilistic event. FREE ACCESS
  • Locked
    7.  Conditional Probability and Bayes Rule
    4m 51s
    In this video, you will learn how to apply Bayes theorem in a given situation. FREE ACCESS
  • Locked
    8.  Permutations and Combinations
    5m 3s
    In this video, you will learn the difference between permutations and combinations. FREE ACCESS
  • Locked
    9.  Univariate Analysis: Minimizing the Margin of Error
    4m 10s
    Upon completion of this video, you will be able to recognize how to reduce the margin of error. FREE ACCESS
  • Locked
    10.  Univariate Analysis: CI for Hypothesis Testing
    3m 57s
    After completing this video, you will be able to recognize how confidence intervals are used for hypothesis testing. FREE ACCESS
  • Locked
    11.  Multivariate Analysis: Testing for Differences
    4m 2s
    After completing this video, you will be able to recognize key features of testing for differences in means and testing for differences in proportions. FREE ACCESS
  • Locked
    12.  Multivariate Analysis: Testing Goodness-of-Fit
    3m 57s
    In this video, you will learn how to determine if a data sample is representative of the data population. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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