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学生对 塔夫茨大学 提供的 Hypothesis Testing with Python and Excel 的评价和反馈
17 个评分
课程概述
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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SS
Feb 20, 2022
It's a friendly course for hypothesis testing with Python. Very smooth & easy to learn.
OS
Feb 12, 2022
Well example but would be great if this course longer and give some slide material
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1 - Hypothesis Testing with Python and Excel 的 5 个评论（共 5 个）
创建者 Shafiqul I S
•Feb 21, 2022
It's a friendly course for hypothesis testing with Python. Very smooth & easy to learn.
创建者 Opas S
•Feb 13, 2022
Well example but would be great if this course longer and give some slide material
创建者 Jarumon T
•Jan 24, 2022
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创建者 Marissa C
•Jan 29, 2022
Great course
创建者 Yuzuru
•Dec 29, 2021
Not really a course - one "week" of some content, no beginning, ending, progression or goals. Don´t waste your time, look for a proper course or for the information about hypothesis testing on the internet.
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