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.
Ofrecido Por


Hypothesis Testing with Python and Excel
Universidad TuftsAcerca de este Curso
Some exposure to basic descriptive statistics (mean, median, mode, etc). Comfort working with spreadsheets is also helpful.
Qué aprenderás
Conducting Hypothesis Tests in Python
Applications of Hypothesis Testing in the Workplace
Conducting Hypothesis Tests in Excel
Habilidades que obtendrás
- Python Programming
- Microsoft Excel
- Statistical Hypothesis Testing
Some exposure to basic descriptive statistics (mean, median, mode, etc). Comfort working with spreadsheets is also helpful.
Ofrecido por
Programa - Qué aprenderás en este curso
Hypothesis Testing
Reseñas
- 5 stars52,38 %
- 4 stars28,57 %
- 3 stars4,76 %
- 2 stars4,76 %
- 1 star9,52 %
Principales reseñas sobre HYPOTHESIS TESTING WITH PYTHON AND EXCEL
It's a friendly course for hypothesis testing with Python. Very smooth & easy to learn.
Well example but would be great if this course longer and give some slide material
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