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Statistics

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About this learning path

Statistics

The practice or science of collecting and analysing numerical data in large quantities, especially for the purpose of inferring proportions in a whole from those in a representative sample.

It comes from

  • ↑ Mathematics
  • includes the learning paths

    and can be deepened into

  • ↓ Econometrics
  • ↓ Data Mining
  • ↓ Probability
  • Web resources
    Start immediately and learn at your own pace.

    Flexible schedule
    Set and adhere to flexible deadlines.

    Approx. 4 months to complete
    Recommended 12 hours/week

    Mostly English

    Curator

    There is no curator for
    Statistics yet!

    This How it Works

    You go station by station. In each station you'll find resources containing:

    1. Information

    2. Educational content

    3. Places to exchange infos

    4. Applications, Tools

    ( 5. Entertaining content )

    After studying a resource, you check it.

    Between stations, sometimes there are learning paths. They need to be studied as well as they pose a qualification for upcoming content.

    After finishing this learning path, you can specialize further or apply what you learned in another learning path.

    Learning Path

    Station

    1

    »

    Linear Regression

    »

    Statistical classification

     

    Statista Portal

    Station

    2

    »

    Confidence interval

    »

    Normal distribution

    »

    Standard deviation Measure

     

    Introduction to Statistical Thought Non-fictional

    Station

    3

     

    Markov Chain Monte Carlo Method

    »

    Stat Wiki Wiki

    »

    Visualize This: The FlowingData Guide to Design, Visualization, and Statistics Non-fictional

    Station

    4

    »

    Stata

    »

    SPSS

    »

    Eviews

     

    Stepik platform