Avis et commentaires pour d'étudiants pour Linear Regression in R for Public Health par Imperial College London
À propos du cours
Meilleurs avis
This is an excellent course to learn how to think statistically with respect to linear regression. The course covers a lot of materials and equips one to further explore this vast area.
This was a wonderful course, for many reasons, the best of which was I felt as if I was finally getting into a real-world data analysis situation. I recommend it highly.
76 - 88 sur 88 Avis pour Linear Regression in R for Public Health
par Shakil A S
•amazing!
par Abdessamad B
•perfect
par RAGHUVEER S D
•good
par Eleftheria K
•The instructor was wonderful. Both the videos and the exercises were very hepful for understanding linear regression. The feedback was also incredibly valuable and helped us understand possible mistakes. I didn't rate the course with four stars because of some mistakes in the videos (for example when we discuss interaction the formula with the interaction term appears both in the beginning and afterwards) as well as in a question in the final test. They might seem like details but for a beginner it causes a bit of confusion and an unnecessary loss of time. Other than that, the course is very good.
par Pippa D
•Helpful and engaging. I did have to occasionally seek extra explanations elsewhere to supplement what is covered in the course - eg it doesn't explain all the information given in the R results for a linear regression. But well worth doing.
par Vijay B
•Great way to start modelling using R. Course instructor is good. The concepts are well introduced and put into practice with R. Finally, to get a hang of the whole thing, you need a lot of practice!
par Rupok C
•Nice course for the beginner who is pursuing health research and its multivariate analysis. It would be better if it is provided more elaborately in video lectures.
par Julie N
•Excellent course! I liked the guided activities however there were some do-it-yourself activities that were required before learning of the necessary code.
par Saint L
•Thanks to all the staff at ICL.
par 都築英莉
•Too easy
par Albert N
•I e is
par Harini K
•The feedback and explanations within the course are not as good for this one versus the feedback in the first course of the specialization. Additionally, the example used for the course should be better explained before usage of the model repeatedly in the course. Oh and some of the code has errors in this course and the final class code is not great in this one. It doesn't help me understand the errors when I go back for feedback/assistance. Being an online course with limited interaction, waiting for someone to respond to a question in the forum requires too much time.
par Jean-Philippe M
•Overall the course was interesting and informative. i whished that more practical exercises (or labs) in r would have been provided.
Coursera Footer
