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.
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!