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 with Python and Excel
Instructors: Gerald S. Brown
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(23 reviews)
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What you'll learn
Conducting Hypothesis Tests in Python
Applications of Hypothesis Testing in the Workplace
Conducting Hypothesis Tests in Excel
Skills you'll gain
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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
Offered by
Recommended if you're interested in Data Analysis
University of Illinois Urbana-Champaign
University of Illinois Urbana-Champaign
Google
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Reviewed on Feb 20, 2022
It's a friendly course for hypothesis testing with Python. Very smooth & easy to learn.
Reviewed on Feb 12, 2022
Well example but would be great if this course longer and give some slide material
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