  Interactive Course

# HarvardX Data Science Module 4 - Inference and Modeling

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• 88 Exercises
• 13,151 Participants
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### Loved by learners at thousands of top companies:      ### 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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