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Hypothesis Testing with Python and Excel(으)로 돌아가기

터프츠 대학교의 Hypothesis Testing with Python and Excel 학습자 리뷰 및 피드백

4.2
별점
17개의 평가
6개의 리뷰

강좌 소개

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....

최상위 리뷰

SS

2022년 2월 20일

It's a friendly course for hypothesis testing with Python. Very smooth & easy to learn.

OS

2022년 2월 12일

Well example but would be great if this course longer and give some slide material

필터링 기준:

Hypothesis Testing with Python and Excel의 5개 리뷰 중 1~5

교육 기관: Shafiqul I S

2022년 2월 21일

It's a friendly course for hypothesis testing with Python. Very smooth & easy to learn.

교육 기관: Opas S

2022년 2월 13일

Well example but would be great if this course longer and give some slide material

교육 기관: Jarumon T

2022년 1월 24일

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교육 기관: Marissa C

2022년 1월 29일

Great course

교육 기관: Yuzuru

2021년 12월 29일

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.