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.
제공자:
Hypothesis Testing with Python and Excel
터프츠 대학교이 강좌에 대하여
최근 조회 1,774회
유연한 마감일
일정에 따라 마감일을 재설정합니다.
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
중급 단계
Some exposure to basic descriptive statistics (mean, median, mode, etc). Comfort working with spreadsheets is also helpful.
완료하는 데 약 5시간 필요
영어
자막: 영어
배울 내용
Conducting Hypothesis Tests in Python
Applications of Hypothesis Testing in the Workplace
Conducting Hypothesis Tests in Excel
귀하가 습득할 기술
- Python Programming
- Microsoft Excel
- Statistical Hypothesis Testing
유연한 마감일
일정에 따라 마감일을 재설정합니다.
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
중급 단계
Some exposure to basic descriptive statistics (mean, median, mode, etc). Comfort working with spreadsheets is also helpful.
완료하는 데 약 5시간 필요
영어
자막: 영어
제공자:
터프츠 대학교
Tufts is a leader in American higher education, distinctive for its success as a moderately sized university that excels at research and providing students with a personal experience. Our unique combination of research and liberal arts attracts students, faculty and staff who thrive in our environment of curiosity, creativity and engagement.
강의 계획표 - 이 강좌에서 배울 내용
완료하는 데 5시간 필요
Hypothesis Testing
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.
완료하는 데 5시간 필요
5개 동영상 (총 25분), 6 개의 읽기 자료, 4 개의 테스트
검토
- 5 stars55%
- 4 stars30%
- 3 stars5%
- 2 stars5%
- 1 star5%
HYPOTHESIS TESTING WITH PYTHON AND EXCEL의 최상위 리뷰
OS 제공2022년 2월 12일
Well example but would be great if this course longer and give some slide material
SS 제공2022년 2월 20일
It's a friendly course for hypothesis testing with Python. Very smooth & easy to learn.
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