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Avis et commentaires pour d'étudiants pour Summary Statistics in Public Health par Université Johns-Hopkins

1,694 évaluations

À propos du cours

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....

Meilleurs avis


23 avr. 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.


10 janv. 2021

This is a good and enticing introduction for the rest of the Coursera Specialization where it belongs. For added value, consider taking this course with a biostatistics textbook for better retention.

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176 - 200 sur 416 Avis pour Summary Statistics in Public Health

par Satish I H

23 avr. 2020

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

par Mac A

27 juin 2020

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

par Rui S

9 juin 2020

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

par Vaishali P

19 nov. 2020

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

par Sumaira K

31 mai 2020

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

par Deusdenir d S M

8 nov. 2020

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

par Adish P

6 juin 2020

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

par 洪宗佑

14 déc. 2019

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

par Mahesh R K

27 mai 2020

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

par Jey S

13 sept. 2021

Muy buen curso. Te da las nociones básicas. No es sencillo, pero tampoco imposible.

par Dr S T

2 avr. 2020

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

par Cristian E N C

6 oct. 2019

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

par Dhasarathi K

6 nov. 2019

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

par Abdullah f

8 déc. 2021

Excellent course. Dr. John made very complex concepts in statistics very simple.

par Md. A K

16 avr. 2020

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

par Lívia M S d S

7 janv. 2023

I really like it. The contents are complicated, but the professor is very good.

par Michael K

19 avr. 2020

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

par Dr S G

25 mai 2021

I had so many confusions, many of them got cleared in this course. Thank you

par ­문정섭 / 학 / 협 생

26 nov. 2020

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

par Tom H

26 août 2020

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

par Huang, B

1 août 2019

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

par Larissa S

27 mars 2022

Ótimo curso. Didática incrivel. Gostaria de continuar nos próximos cursos.

par gurbet s

13 mai 2020

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

par Shila C

26 mars 2020

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

par Abdallah N

1 juil. 2021

Excellent course, excellent teaching, very comprehensive and informative.