Skip to main content
Free course

HarvardX Data Science Module 4 - Inference and Modeling

Start Free Course
88 Exercises
25,103 LearnersTrophyStatement of Accomplishment

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.

Loved by learners at thousands of companies


Course Description

Learn inference and modeling - two of the most widely used statistical tools in data analysis.
  1. 1

    Parameters and Estimates

    Free

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

    Play Chapter Now
    Exercise 1. Polling - expected value of S
    50 xp
    Exercise 2. Polling - standard error of S
    50 xp
    Exercise 3. Polling - expected value of X-bar
    50 xp
    Exercise 4. Polling - standard error of X-bar
    50 xp
    Exercise 5. se versus p
    100 xp
    Exercise 6. Multiple plots of se versus p
    100 xp
    Exercise 7. Expected value of d
    50 xp
    Exercise 8. Standard error of d
    50 xp
    Exercise 9. Standard error of the spread
    100 xp
    Exercise 10. Sample size
    50 xp
    End of Assessment
    50 xp
  2. 8

    Association and Chi-Squared Tests

    Free

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

    Play Chapter Now

Datasets

Readme
Weston Stearns HeadshotWeston Stearns

See More

What do other learners have to say?

Join over 13 million learners and start HarvardX Data Science Module 4 - Inference and Modeling today!

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.