Tufts University
Hypothesis Testing with Python and Excel
Tufts University

Hypothesis Testing with Python and Excel

Gerald S. Brown
Kishore K. Pochampally

Instructors: Gerald S. Brown

3,287 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.2

(23 reviews)

Intermediate level

Recommended experience

5 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.2

(23 reviews)

Intermediate level

Recommended experience

5 hours to complete
3 weeks at 1 hour a week
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

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Assessments

3 assignments

Taught in English

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There is 1 module in this course

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

Instructors

Instructor ratings
4.2 (8 ratings)
Gerald S. Brown
Tufts University
4 Courses3,321 learners

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4.2

23 reviews

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OS
5

Reviewed on Feb 12, 2022

SS
5

Reviewed on Feb 20, 2022

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