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
3,302 already enrolled
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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
Skills you'll gain
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
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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