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Отзывы учащихся о курсе Introduction to Statistics & Data Analysis in Public Health от партнера Имперский колледж Лондона

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Оценки: 1,085
Рецензии: 223

О курсе

Welcome to Introduction to Statistics & Data Analysis in Public Health! This course will teach you the core building blocks of statistical analysis - types of variables, common distributions, hypothesis testing - but, more than that, it will enable you to take a data set you've never seen before, describe its keys features, get to know its strengths and quirks, run some vital basic analyses and then formulate and test hypotheses based on means and proportions. You'll then have a solid grounding to move on to more sophisticated analysis and take the other courses in the series. You'll learn the popular, flexible and completely free software R, used by statistics and machine learning practitioners everywhere. It's hands-on, so you'll first learn about how to phrase a testable hypothesis via examples of medical research as reported by the media. Then you'll work through a data set on fruit and vegetable eating habits: data that are realistically messy, because that's what public health data sets are like in reality. There will be mini-quizzes with feedback along the way to check your understanding. The course will sharpen your ability to think critically and not take things for granted: in this age of uncontrolled algorithms and fake news, these skills are more important than ever. Prerequisites Some formulae are given to aid understanding, but this is not one of those courses where you need a mathematics degree to follow it. You will need only basic numeracy (for example, we will not use calculus) and familiarity with graphical and tabular ways of presenting results. No knowledge of R or programming is assumed....

Лучшие рецензии

LA
25 мая 2019 г.

Was a very nicely done and clear course to build or re-build foundation for most common statistical concepts and an intro to using R via R-Studio for your work with them on the basics.

SK
11 окт. 2019 г.

This is the best course among all I've taken..\n\nThe instructor has presented the content precisely.\n\nI highly recommend to those who are looking to explore R in the field of health

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1–25 из 227 отзывов о курсе Introduction to Statistics & Data Analysis in Public Health

автор: Georgy M

8 июня 2019 г.

The course gives an introduction to basic statistics commonly used in medicine/public health. The key concepts are explained clearly and provide a good foundation. However, there are few lectures (mostly reading material) and many tests are "check yourself" ones. The course would benefit if current reading material was given in lectures (as it is mostly words) and the more advanced reading material was included with more formal/mathematical description of the concepts.

автор: SALVATORE D G

12 июня 2020 г.

This course started well, but when it had to dig into explaining statistical analysis or R codes it left the explanation to LOTS of reading material rather than videos. I could have just read a book of statistics rather than enrolling in this course.

автор: Fatemeh

1 апр. 2020 г.

Not a very educational course all n all. Mostly for someone with previous knowledge on the matter.

автор: Lindsy R

10 дек. 2019 г.

I expected much more work on R plus barely any of the syntax worked on my Mac.

автор: Dwayne R T

5 янв. 2021 г.

The instructor videos are amazing- very relatable, applicable, and comprehensible! The principles are simplified as best as possible. This courses also good if you are very new to R.

автор: Indhu R

16 мая 2019 г.

Learned a lot! The structure of the course was very logical and manageable. Will be continuing with the rest of the courses in the Specialization.

автор: Vishakh U

22 сент. 2019 г.

Could be way better. AP level statistics should be recommended before starting this course.

автор: Han C

5 дек. 2019 г.

I like this professor. His interesting teaching style is like Professor Attenborough you see on BBC Earth. He will bring up an issue and give you just enough information so that I can go about researching this on Google, Youtube, and other lectures on Coursera. He is good for professionals not liking a rigid educational format.

автор: Sajith S

15 мар. 2020 г.

Brilliant!! Simply brilliant. Alex is superb. You cant understand statistics better anywhere in the world other than this course. This is an essential course for anyone into clinical research or anyone doing their Phd's in Biological sciences or having an interest in science journalism. I urge all of you to take this course. This is more than an introduction to statistics.

Thanks Alex!! You are great at teaching& communicating statistics. Hope to meet up with you someday. Take care and I am going forward with the entire specialization.

автор: Rashidul H

5 мая 2019 г.

I will definitely recommend anyone to undergo the materials provided from Imperial faculty to hone statistical reasoning skill and enhance problem solving capacity. Indeed a organized and effective course after a bit long time.

автор: Liva A

26 мая 2019 г.

Was a very nicely done and clear course to build or re-build foundation for most common statistical concepts and an intro to using R via R-Studio for your work with them on the basics.

автор: Sandeep K

12 окт. 2019 г.

This is the best course among all I've taken..

The instructor has presented the content precisely.

I highly recommend to those who are looking to explore R in the field of health

автор: Shubham J S

26 июня 2019 г.

I found this data very interesting and useful learnt very new sets of skills and will carry on in this topic.

автор: Dean P

7 июля 2019 г.

This was a great introduction. to statistics in public health. Thanks!

автор: Luis A M G

1 сент. 2019 г.

This course has a great content. R programming is a excellent tool for analyze data in public health. Each one of the videos is excellent to understand the conceptual framework and eventually apply those knowledges in R language.

автор: Ikenna M

29 дек. 2019 г.

This course is amazing for candidates looking to gain a fundamental understanding of Public Health Research. The videos are very educative and the assignments are crucial to having a firm grasp of the topics that are taught.

автор: Neelam I

29 сент. 2019 г.

Fantastic resource for novices and people with bit more statistical experience (like myself). Really enjoyable and moves at a really good pace. I learnt a lot and was able to refine my statistical skills

автор: Rebecca E

14 авг. 2020 г.

Excellent course with really good teaching. Felt like it developed a good grounding in the basic topics. Would recommend having a little R experience prior to taking this course.

автор: Anusha B

16 мар. 2020 г.

Insightful, concise and made highly easy to understand thanks to the great instructor! Things I learned here have been utilized in both my academic and my professional pursuits.

автор: Pippa D

2 сент. 2020 г.

An enjoyable course in Stats for complete beginners. It is a good mix of videos, exercises and quizes that kept my interest up. I shall go on to the next module in this course.

автор: Pau G

17 февр. 2020 г.

A good introduction to the statistical thinking in order to clarify some basic but esential concepts as: research question, hypothesis, etc

автор: Sergio P

14 сент. 2019 г.

The teacher is great, the classes are clear and the readings are understandable. A MUST HAVE if you want to learn Public Health.

автор: Jeba M

19 июля 2019 г.

Really explanatory.. assignments, discussion prompts made me think and clarified important concepts.

автор: Seungyeon J

7 окт. 2019 г.

Very easy to understand the basic statistics and know how to use R.

Value for money.

Many Thanks!!!

автор: Jose L V V

30 авг. 2019 г.

the course is very good both in theory and practice with programming in R to public health