Interactive Course

HarvardX Data Science Module 4 - Inference and Modeling

  • 0 hours
  • 0 Videos
  • 88 Exercises
  • 13,151 Participants
  • 7,100 XP

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Course Description

Learn inference and modeling - two of the most widely used statistical tools in data analysis.

  1. 1

    Parameters and Estimates

    In this chapter, you will learn about parameters and estimates using the example of election polling.

  2. 3

    Confidence Intervals and p-Values

    In this chapter, you will learn about confidence intervals and p-values using actual polls from the 2016 US Presidential election.

  3. 5

    Bayesian Statistics

    In this chapter, you will learn about Bayesian statistics.

  4. 7

    The t-distribution

    In this chapter, you will learn about the t-distribution.

  5. 2

    Introduction to Inference

    In this chapter, you will learn about the central limit theorem in practice.

  6. 4

    Statistical Models

    In this chapter, you will learn about different types of probability models

  7. 6

    Election Forecasting

    In this chapter, you will learn about election forecasting by exploring data from the 2016 US Presidential Election.

  8. 8

    Association and Chi-Squared Tests

    In this chapter, you will learn about the association tests and the chi-square test.

  1. 1

    Parameters and Estimates

    In this chapter, you will learn about parameters and estimates using the example of election polling.

  2. 2

    Introduction to Inference

    In this chapter, you will learn about the central limit theorem in practice.

  3. 3

    Confidence Intervals and p-Values

    In this chapter, you will learn about confidence intervals and p-values using actual polls from the 2016 US Presidential election.

  4. 4

    Statistical Models

    In this chapter, you will learn about different types of probability models

  5. 5

    Bayesian Statistics

    In this chapter, you will learn about Bayesian statistics.

  6. 6

    Election Forecasting

    In this chapter, you will learn about election forecasting by exploring data from the 2016 US Presidential Election.

  7. 7

    The t-distribution

    In this chapter, you will learn about the t-distribution.

  8. 8

    Association and Chi-Squared Tests

    In this chapter, you will learn about the association tests and the chi-square test.

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Weston Stearns
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Instructor

Datasets
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