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学生对 开普敦大学 提供的 Understanding Clinical Research: Behind the Statistics 的评价和反馈

2,209 个评分
671 条评论


If you’ve ever skipped over`the results section of a medical paper because terms like “confidence interval” or “p-value” go over your head, then you’re in the right place. You may be a clinical practitioner reading research articles to keep up-to-date with developments in your field or a medical student wondering how to approach your own research. Greater confidence in understanding statistical analysis and the results can benefit both working professionals and those undertaking research themselves. If you are simply interested in properly understanding the published literature or if you are embarking on conducting your own research, this course is your first step. It offers an easy entry into interpreting common statistical concepts without getting into nitty-gritty mathematical formulae. To be able to interpret and understand these concepts is the best way to start your journey into the world of clinical literature. That’s where this course comes in - so let’s get started! The course is free to enroll and take. You will be offered the option of purchasing a certificate of completion which you become eligible for, if you successfully complete the course requirements. This can be an excellent way of staying motivated! Financial Aid is also available....


Dec 15, 2018

Klopper MD is a great teacher. There are other courses from another top universities about this topic, but I think this is my favourite. This the shortest in duration and most comprehensive among all.

Jul 28, 2017

Great course!! it is gonna provide you a good foundation in clinical studies if you want to start your career in clinical research! Clear explanation and comprehensive case study! highly recommended!


401 - Understanding Clinical Research: Behind the Statistics 的 425 个评论(共 664 个)

创建者 Dr. H H

May 16, 2018

Excellent course media, downloads and interaction with lecturer.

创建者 Juan V g

Dec 19, 2016

an excellent course, very clear and easy to understand! thanks!!

创建者 Santiago O

Oct 28, 2020

Excellent course! Very concrete with good examples! Recommended


Feb 27, 2018

Awesome Course.. Best course in Coursera for Clinical Research.

创建者 Sean A W

Aug 5, 2020

A minefield of knowledge, but very interesting and empowering.

创建者 Heather M J

Jul 11, 2020

Excellent course, it explains everything on Clinical Research,

创建者 Jael E C

Nov 28, 2018

Excellent introductory course to clinical research. Thank you!

创建者 Adama D

Nov 18, 2020

Great job keeping the concepts simple while getting in depth!

创建者 Noela K

Jul 13, 2020

Great lecturer, excellent material. Highly recommended course

创建者 Rizki A G

May 24, 2020

This is very nice course, easily to understand and applicable

创建者 Jessica M

Apr 3, 2019

Great course. Would plan on taking more courses in the future

创建者 B S L S G

Apr 2, 2020

good for learning the basic statistics in clinical research.

创建者 Christmar D Q L

Jan 22, 2019

One of the best courses i've ever done! I really enjoyed it.

创建者 Dr V B

Oct 1, 2020

Very good course to understand medical research literatures

创建者 Daniela A

May 24, 2020

Great course, lovely teacher. Very good explanatory videos.

创建者 Yasser N A

Jun 13, 2019

Great course. I recommend any medical personnel to take it.

创建者 CHO H

Sep 7, 2017

I could understand about statistics study more than before.

创建者 Linda

Oct 2, 2020

Very interesting course. Easy to follow. Nice assignments.

创建者 Franz E L G

Mar 21, 2020

Excellent course to understand the basics of biostatistics

创建者 Otakhoigbogie U

Jun 13, 2018

Excellent course. Instructor is fantastic. Thank you sir.

创建者 Marie J

Nov 12, 2017

Highly engaging content exceeded expectations, thank you!

创建者 Saeed S A

Dec 1, 2015

very simplified beginner course on biostatistics concepts

创建者 Thadikamala S

Aug 31, 2020

Very Good, giving all necessary Basics of Bio-statistics

创建者 Loren L R

Apr 2, 2020

Great course for everybody who wants to learn the stuff.

创建者 Sari M

Dec 17, 2017

This course is a really friendly approach to statistics.