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    Back to Linear Regression in R for Public Health

    Learner Reviews & Feedback for Linear Regression in R for Public Health by Imperial College London

    Filled StarFilled StarFilled StarFilled StarFilled Star
    4.8
    stars
    518 ratings

    About the Course

    Welcome to Linear Regression in R for Public Health! Public Health has been defined as “the art and science of preventing disease, prolonging
    life and promoting health through the organized efforts of society”. Knowing what causes disease and what makes it worse are clearly vital
    parts of this. This requires the development of statistical models that describe how patient and environmental factors affect our chances of
    getting ill. This course will show you how to create such models from scratch, beginning with introducing you to the concept of correlation and
    linear regression before walking you through importing and examining your data, and then showing you how to fit models. Us...
    ...

    Top reviews

    WB

    May 9, 2023

    Filled StarFilled StarFilled StarFilled StarFilled Star

    It was my second course on coursera. It was a great journey with coursera and imperial college london. I loved this course. I have learned so much that I could not even imagine. Thanks instructor

    AO

    Sep 12, 2023

    Filled StarFilled StarFilled StarFilled StarFilled Star

    This is is an excellent course! Thank you for providing it to us online, and please, I look forward to have access to more advance courses on statistical analysis for public health from ICL!

    Filter by:

    101 - 110 of 110 Reviews for Linear Regression in R for Public Health

    Filled StarFilled StarFilled StarFilled StarStar

    By Eleftheria K

    •

    Apr 24, 2020

    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.

    Filled StarFilled StarFilled StarFilled StarStar

    By Pippa D

    •

    Sep 9, 2020

    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.

    Filled StarFilled StarFilled StarFilled StarStar

    By Vijay B

    •

    Jan 19, 2020

    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!

    Filled StarFilled StarFilled StarFilled StarStar

    By Rupok C

    •

    Jun 20, 2020

    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.

    Filled StarFilled StarFilled StarFilled StarStar

    By Julie N

    •

    Jun 8, 2020

    Excellent course! I liked the guided activities however there were some do-it-yourself activities that were required before learning of the necessary code.

    Filled StarFilled StarFilled StarFilled StarStar

    By Saint L

    •

    Apr 21, 2020

    Thanks to all the staff at ICL.

    Filled StarFilled StarFilled StarFilled StarStar

    By Eri T

    •

    Dec 11, 2021

    Too easy

    Filled StarFilled StarFilled StarFilled StarStar

    By Albert N

    •

    Nov 19, 2021

    I e is

    Filled StarFilled StarFilled StarStarStar

    By Harini K

    •

    Oct 22, 2020

    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.

    Filled StarFilled StarFilled StarStarStar

    By Jean-Philippe M

    •

    Jan 1, 2021

    Overall the course was interesting and informative. i whished that more practical exercises (or labs) in r would have been provided.

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