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Learner Reviews & Feedback for Summary Statistics in Public Health by Johns Hopkins University

4.8
stars
1,068 ratings
279 reviews

About the Course

Biostatistics is the application of statistical reasoning to the life sciences, and it is the key to unlocking the data gathered by researchers and the evidence presented in the scientific literature. In this course, we'll focus on the use of statistical measurement methods within the world of public health research. Along the way, you'll be introduced to a variety of methods and measures, and you'll practice interpreting data and performing calculations on real data from published studies. Topics include summary measures, visual displays, continuous data, sample size, the normal distribution, binary data, the element of time, and the Kaplan-Meir curve....

Top reviews

AB
Apr 23, 2020

I am glad to learn a lot of terms in statistics and how to use and interpret them in the context of Public Health researches. The Instructor provided enough examples to understand the lessons better.

EC
Sep 22, 2020

I found this course really useful. It actually made you do work and it wasn't necessarily easy to pass the end of module content, which I feel made the course so much more valuable. Highly recommend.

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126 - 150 of 279 Reviews for Summary Statistics in Public Health

By Dong-Uk L

Aug 26, 2019

Productive introduction and summary of public health statistics. Highly recommend this class!

By James M

Mar 15, 2019

Excellent course. Dr. McGready is so clear and concise. Can't wait to get to the next module.

By Hoon L C

Mar 3, 2019

Not only informative, this course is very useful in routine clinical practice.

Thanks a lot.

By SATISH I H

Apr 23, 2020

Thank you very much for this course.had very detailed explanation using published articles

By Mac A

Jun 27, 2020

Great teacher. I liked the course content and the quizzes reinforced the material studied.

By Rui S

Jun 9, 2020

Very clear and fluidic course, definitely worthy and made summary statistics a lot easier.

By Vaishali P

Nov 19, 2020

Great course. Learned a lot! Thanks for giving me an opportunity to complete this course.

By Sumaira K

May 31, 2020

An amazing professor and an amazing course for understanding the basics of Biostatistics!

By Deusdenir d S M

Nov 8, 2020

Wonderful and very useful! Grateful for the opportunity to learn more about Biostatiscs.

By Adish P

Jun 6, 2020

Excellent, simple videos to help me build long term understanding of foundational stats!

By 洪宗佑

Dec 14, 2019

It is a fundamental but very useful course, clarified a lot of concepts I didn't notice.

By Mahesh R K

May 27, 2020

Excellent course. Superb orator. Nice presentation of the information with apt example.

By Dr S T

Apr 2, 2020

Good course for beginners who wants to understand statistical approach to medicine

By Cristian E N C

Oct 6, 2019

Excelente, se complementa con otros cursos hechos (no repite la misma información)

By Dhasarathi K

Nov 6, 2019

Thank you for giving me such a wonderful chance to learn. many thanks to coursera

By Md. A K

Apr 16, 2020

Excellent course for basic matters we need to know for public health statistics.

By Michael K

Apr 19, 2020

I really enjoyed the lecture videos and the materials covered in this course.

By ­문정섭 / 학 / 협 생

Nov 26, 2020

This course is very helpful for those who want to start study in this field.

By Tom H

Aug 26, 2020

Informative and interesting course. Nice pace to material and well presented

By Huang, B

Aug 1, 2019

A very good lecture for beginner. A lot of examples and easy-understanding.

By gurbet s

May 13, 2020

Thank you very much with great lecturers video, materials and assignments.

By Shila C

Mar 26, 2020

Good course, well explained, tests with an appropiate degree of difficulty

By Tania C

Dec 7, 2020

Was difficult because i'm an economist. But interesting topics for my CV

By Islam R

Aug 1, 2020

excellent material, I hope I can join the remaining three of the series!

By RILEY M

Oct 13, 2019

Very well organized course with excellent explanations for each concept.