Вернуться к Linear Regression in R for Public Health

4.8
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Оценки: 418
Рецензии: 91

О курсе

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. Using the example of respiratory disease, these models will describe how patient and other factors affect outcomes such as lung function. Linear regression is one of a family of regression models, and the other courses in this series will cover two further members. Regression models have many things in common with each other, though the mathematical details differ. This course will show you how to prepare the data, assess how well the model fits the data, and test its underlying assumptions – vital tasks with any type of regression. You will use the free and versatile software package R, used by statisticians and data scientists in academia, governments and industry worldwide....

Лучшие рецензии

MK

3 апр. 2020 г.

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.

PG

1 февр. 2021 г.

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.

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1–25 из 91 отзывов о курсе Linear Regression in R for Public Health

автор: William E

12 июля 2019 г.

This course is excellent- if you want a solid understanding of the basics, this is as good as it gets. I would say it is most suited for somebody who wants a more conceptual rather than mathematical understanding of the subject, but its still has a good balance between the both approaches. The videos are very well presented, the lecturer is very professional and has clear and engaging style [not like most stats teachers ;) ]. My only difficulty was that I am already quite an experienced R user and the coding methods were quite different to my style, that's not a criticism really as there are numerous ways to remove the outer layer of a feline, as they say. There a decent number of typos and I was a little frustrated with some of the answers to the questions being wrong (I was convinced on a couple of occasions that I had it right and they didn't). I'm not the expert so they were almost certainly right it's just the explanation to the answer didn't really help me understand. Also for extra browny points it would great if the R code was formatted in a codey way in the reading lesson- like in stackoverflow. It kind of gets lost in the text. In summary if you are reading this chances are you want to know whether or not to do this course. DO IT The end

автор: Rashidul H

30 мая 2019 г.

An excellent Coursera content provided from such a renowned faculty with so much organized and systematic instructions. I truly enjoyed the whole course to learn the concept and had ample opportunity with tasks to practice analysis skills with the provided example data. I would really recommend anyone to participate on this course. Best wishes to Imperial faculty for offering such a great course.

автор: Rahul R

9 дек. 2020 г.

Wonderful course. Anyone with any background can attend this course. The general idea of regression you will get from here can be applied in any academic domain.

4 окт. 2019 г.

The course was really great. The instructor explained the things in a lucid manner. Also the reading materials were great. Thank you so much for this course

автор: Rashmi M

22 сент. 2019 г.

Excellent course. We get a lot of hands on training in building regression models and crystal clear concepts.

автор: Sergio P

20 сент. 2019 г.

Excellent course, with great classes and a large data set for you to test your computational skills.

автор: L M

17 февр. 2021 г.

Reading materials and practicals are a bit messy. Poorly formatted, lack of logical structure, and low res screenshots of code and R console outputs (some of which code is buggy). Please provide the code that we can actually run, as R or Rmd files. Lack of quality unfortunately is not to professional or academic standard, you would be expected to produce a lot better on the job or for assignments so it's not a good example to set here. I hope the course content for on campus students is better than this. I imagine it is, so it just goes to show this was thrown together without any real care or quality control.

автор: Aedrian A

22 янв. 2021 г.

As my first formal foray to R, I highly appreciate the hands-on approach of this course. While I have been aware and using linear regression for various research endeavors prior to this course, the material has provided me a more technical perspective on the advantages, assumptions and limitations of this statistical technique. It is extremely difficult to get decent scores in the quiz without actually trying R, so be prepared to devote more time and effort than you normally would in a MOOC.

автор: Brenda Y

2 июля 2020 г.

I loved the step-by-step approach and learned a lot in this course! I only wish that activities could be assessed (perhaps by peer review, as I have seen in other courses), so I could know if I am on the right track, or how to troubleshoot certain issues (still struggling with interaction terms...). Otherwise, definitely a great course with great materials teaching very useful skills :)

автор: Alireza R

26 мая 2022 г.

fantastic!

unlike the previous course from the same specialization which was a little bit fundamental, this course was so comprehensive that everyone can easily learn from basics to advanced levels of regression, along with all mistakes scientists may make when doing a regression thank you so much for the course

автор: kalyango e

21 дек. 2019 г.

Initially I was scared of R programming and statistics because i thought it was for data scientists, but this course was easy to follow and the exercises are rigorous. You come out of this course confident in your analytic skills. Wonderful teachers and thanks for sharing your knowledge.

автор: SAVINO S

24 сент. 2020 г.

Interesting and well planned. It follows the path laid down in the previous course, alternating short videos and moments of personal reading and reflection, followed by feedbacks. Plus the chance to see some real data processing, both guided and do-it-yourself. Good!

автор: Tommy G

15 авг. 2019 г.

Excellent course! Very hard in some aspects but very engaging and it provides students with deep knowledge of linear regression, epidemiology with R usage, and biostatistics skills which I consider essential for every Public Health Practitioner today.

автор: Hector P

18 сент. 2020 г.

This is one of the best courses I have ever taken. Congratulations to the design team and the instructors. The level of this course is excellent and the feedback the instructor provided helped me to go further. I am so happy I took this course.

автор: Swetha J

19 мая 2020 г.

The course explained the intricacies of Linear Regression very well. esp. the interaction effect and addressing categorial variables and how to select variables, which is often overseen in most content/ courses. Excellent course!

автор: Sabine F

10 дек. 2019 г.

In a matter of days I was able to understand linear regression using R. Great videos and homework assignments that are doable and can be applied directly to own research. This course is a must for any Phd student in healthcare.

автор: Qusai A K A A

22 окт. 2020 г.

This is a fantastic course that does give you a solid R foundation to build on, I am glad I took it and I am looking forward to practice more and sharpen my R skills, I would like to thank everyone who worked on this course!

автор: Michael K

4 апр. 2020 г.

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.

автор: Cristiano F

10 янв. 2021 г.

Very helpful in understanding and practising linear regression in R! It truly expanded my knowledge and confidence on this field. So much better than just studying from a book!

автор: Paul F G

2 февр. 2021 г.

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.

автор: Chenxuan Y

7 нояб. 2020 г.

I love Victoria and the way she focuses on the important parts of the course while leaving the other parts to be discovered by yourself

автор: John A

30 окт. 2020 г.

Great step by step explanation of the linear regression model-building process. Very clear. Also highlights pitfalls to avoid.

автор: Nevikaone

29 нояб. 2021 г.

This is the best course to get started with linear regression and R as the instructor explains step by step on each strategy

автор: Khan S I

28 февр. 2021 г.

The course was an excellent utilisation of time. I am looking forward to explore further and utilise the skills I acquired.

автор: Victor I M

9 сент. 2020 г.

Very good explanations, I have learnt a lot of statistics as a science student, but I learnt way more thanks to this course