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⇱ Hypothesis Testing with Python and Excel | Coursera

Hypothesis Testing with Python and Excel

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Hypothesis Testing with Python and Excel

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Gain insight into a topic and learn the fundamentals.
4.2

24 reviews

Intermediate level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.2

24 reviews

Intermediate level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Conducting Hypothesis Tests in Python

  • Applications of Hypothesis Testing in the Workplace

  • Conducting Hypothesis Tests in Excel

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

3 assignments¹

AI Graded see disclaimer
Taught in English

There is 1 module in this course

In today's job market, leaders need to understand the fundamentals of data to be competitive. An essential procedure to understand business and analytics is hypothesis testing. This short course, designed by Tufts University expert faculty, will teach the fundamentals of hypothesis testing of a population mean and a population proportion, using Excel and Python for calculations. You'll also discover the central limit theorem, which is essential for hypothesis testing. To conclude the course, you will apply your newfound skills by creating a plan for an experiment in your own workplace that uses hypothesis testing.

Hypothesis testing is an essential procedure in business analytics. In this course, you will learn the fundamentals of hypothesis testing of a population mean and a population proportion. We will also explain the central limit theorem, which is essential for hypothesis testing. We will use Excel and Python for our calculations. At the end of the course, you will apply these skills by creating a plan for an experiment using hypothesis testing at your workplace.

What's included

5 videos6 readings3 assignments1 peer review2 ungraded labs

5 videos•Total 25 minutes
  • Central Limit Theorem for Sample Means•7 minutes
  • Hypothesis Testing of Population Mean: Excel Example•8 minutes
  • Python for Hypothesis Testing of Population Mean•2 minutes
  • Central Limit Theorem for Sample Proportions•3 minutes
  • Python for Hypothesis Testing of Population Proportion•4 minutes
6 readings•Total 50 minutes
  • Introduction•5 minutes
  • Basics of Hypothesis Testing•10 minutes
  • Hypothesis Test Examples for Means•10 minutes
  • Hypothesis Test Examples for Proportions•10 minutes
  • Course Recap•5 minutes
  • Learn more about Tufts•10 minutes
3 assignments•Total 90 minutes
  • Final Quiz•30 minutes
  • Mean Hypothesis Testing Practice Quiz•30 minutes
  • Proportion Hypothesis Testing Practice Quiz•30 minutes
1 peer review•Total 120 minutes
  • Business Applications Peer Review Assignment•120 minutes
2 ungraded labs•Total 30 minutes
  • Python Practice: Hypothesis Testing for Means•15 minutes
  • Python Practice: Hypothesis Testing for Proportions•15 minutes

Instructors

Instructor ratings
4.2 (8 ratings)
Tufts University
4 Courses•3,702 learners

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Showing 3 of 24

SS
·

Reviewed on Feb 20, 2022

It's a friendly course for hypothesis testing with Python. Very smooth & easy to learn.

OS
·

Reviewed on Feb 12, 2022

Well example but would be great if this course longer and give some slide material

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.