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.
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Hypothesis Testing with Python and Excel
Tufts UniversityAbout this Course
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Shareable Certificate
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Intermediate Level
Some exposure to basic descriptive statistics (mean, median, mode, etc). Comfort working with spreadsheets is also helpful.
Approx. 5 hours to complete
English
What you will learn
Conducting Hypothesis Tests in Python
Applications of Hypothesis Testing in the Workplace
Conducting Hypothesis Tests in Excel
Skills you will gain
- Python Programming
- Microsoft Excel
- Statistical Hypothesis Testing
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level
Some exposure to basic descriptive statistics (mean, median, mode, etc). Comfort working with spreadsheets is also helpful.
Approx. 5 hours to complete
English
Offered by
Syllabus - What you will learn from this course
5 hours to complete
Hypothesis Testing
5 hours to complete
5 videos (Total 25 min), 6 readings, 4 quizzes
Reviews
- 5 stars52.38%
- 4 stars28.57%
- 3 stars4.76%
- 2 stars4.76%
- 1 star9.52%
TOP REVIEWS FROM HYPOTHESIS TESTING WITH PYTHON AND EXCEL
by SSFeb 20, 2022
It's a friendly course for hypothesis testing with Python. Very smooth & easy to learn.
by OSFeb 12, 2022
Well example but would be great if this course longer and give some slide material
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