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
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Hypothesis Testing with Python and Excel
Instructors: Gerald S. Brown
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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
Skills you'll gain
Tools you'll learn
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Taught in English
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There is 1 module in this course
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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
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