Hypothesis Testing with Python and Excel
About 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.
82/100
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- What the provider tells you
- 31/45
- Who stands behind it
- 35/35
- How complete the listing is
- 16/20
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What you'll learn
- understand the fundamentals of hypothesis testing
- perform hypothesis testing using Excel
- perform hypothesis testing using Python
- apply the central limit theorem
- create an experimental plan using hypothesis testing
Course objectives
- teach students the fundamentals of hypothesis testing
- provide practical skills in using Excel and Python for calculations
- enable students to apply learned skills in a workplace scenario
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