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.
AA
Jan 10, 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.
By KATHAWOOT
•May 6, 2020
Good lecture
By Kathryn S
•Jul 22, 2019
Great course
By Ganapati s
•Apr 15, 2024
Good course
By Felicia Y H
•Jan 29, 2023
Good course
By Bruno H L M
•May 3, 2020
Exceptional
By ANGEL D A M
•Jun 13, 2021
MUY BUENO
By Silvia G F
•Jun 10, 2020
Very good!
By Dong-Young D L
•Aug 10, 2022
Amazing!
By DARWIN A L F
•Feb 1, 2021
Excellent
By Mohamed M S
•Oct 6, 2020
very good
By Masoud M
•May 14, 2020
Excellent
By Jeshua R G
•Feb 15, 2020
Excelente
By LUIS F Q B
•Jan 24, 2023
Excelent
By ANDREA P V G
•Oct 7, 2020
Awesome!
By Shakil A S
•Nov 28, 2020
amazing
By Manuel S P
•Oct 21, 2020
ooooooo
By Victor O O
•Oct 23, 2019
Awesome
By Saranya J
•Oct 29, 2024
good
By Afra A A
•Jan 3, 2022
good
By dr.milind S
•Apr 10, 2021
best
By Dr.Jagadesaan N
•Oct 2, 2020
good
By Ricardo D A
•Jun 28, 2021
I just completed the Biostatistics specialisation, so I have posted these comments on all the courses:
What I most appreciated: Dr McGready is a fantastic lecturer, and I learned a tremendous amount from his lectures. I feel that you need to do all four courses to truly appreciate all the lessons.
What I think will improve the courses: There are some mistakes in the quizzes and the answer sheets, and I think it is because Dr McGready used the lectures that he uses in his classes at JHU, but had to transcribe the quizzes into the Coursera format. I feel that the lectures would have had even greater value if we got to program some of the statistics and manipulate some of the data in R or SPSS.
Overall, I really enjoyed the specialisation, and I certainly got what I was looking for. Thanks again for all your hard work!
By Michele F B
•Feb 4, 2021
This course is a good introduction to summary statistics that you might see in public health research. Covers normal distributions and standard deviation, binary data (risk difference, relative risk, odds ratio), and time-to-event data (IR hat, IRR hat, survival time/Kaplan Meier curve). The lectures are good and the instructor provides 'additional examples ' lectures. Some additional explanation of terms would be helpful. Course quizzes can be tricky - you have to type in something exactly as was entered in the key to get credit and the phrasing of some of the questions is confusing. Overall, a good intro to biostats.
By Eman A S
•Sep 1, 2020
Learned a lot of new concepts and refreshed the part of my brain that studied probability mathematics, etc as a highschool senior -- unfortunately, mathematics that seem to get abandoned during most of med school. Instructor guides you through the topics in a really intuitive way.
Admittedly, it seems as though the topics i was most curious about only appear in subsequent courses, so i am slightly disappointed. Hopefully future courses also come with a free trial!
Give it a shot to cement your understanding of stats as used in the news, and in public health in general!
By Pius O
•Jun 30, 2019
I took the course to improve my competencies and build my capacity in biostatistics. This course has helped me to understand some biostatistical concepts that I did not fully grasp before now; e.g. standard deviation of binary data, some aspects of risk difference and relative risk and Kaplan-Meier plots. In fact, I'm impressed with the explanation of how to interpret risk difference and relative risk, i.e. for groups and individuals respectively!