Chevron Left
Zurück zu Introduction to Statistics & Data Analysis in Public Health

Bewertung und Feedback des Lernenden für Introduction to Statistics & Data Analysis in Public Health von Imperial College London

4.7
Sterne
1,210 Bewertungen

Über den Kurs

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....

Top-Bewertungen

SK

11. Okt. 2019

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

LA

25. Mai 2019

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.

Filtern nach:

176 - 200 von 242 Bewertungen für Introduction to Statistics & Data Analysis in Public Health

von DIANA S A

25. Okt. 2021

GoogGoodGood

von CECIL K M A

12. Jan. 2021

great useful

von Ruaan O C

30. Juni 2020

It's perfect

von Jesús G H P

29. Juni 2020

amazing!!!!

von Mohammed a e

17. März 2020

fascinating

von Anup K

7. Sep. 2019

Good Course

von ONUOHA C A

24. Juni 2019

Outstanding

von Ignacio E F

29. Okt. 2020

Muy bueno!

von Eddy A S M

3. Juni 2019

Excelente!

von Albert N

20. Okt. 2021

V d and u

von Wentao ( Y

11. Dez. 2020

great!!!!

von Luis S

17. Nov. 2020

Excellent

von Jesús A O D

5. Apr. 2020

Ecxellent

von Jeshua R G

6. März 2020

Excellent

von Shakil A S

16. Feb. 2021

amazing!

von Lida M

11. Nov. 2019

Thanks.

von Kim S J

9. Juli 2020

Good!!

von JANAKI K

25. Okt. 2021

good

von Trushal K

21. Juli 2021

Good

von Muhammad K u R

18. Juni 2022

von Tanvia Z

14. Juli 2021

von pablo p

23. Feb. 2021

.

von fabien M

10. Apr. 2020

I enjoyed the course.

I noticed a strong acceleration from week 2 to week 3, and in some case, it may be difficult for non native English speaker to answer correctly to the question (as it is formulated), event with years experience of high level business english (including in legal/contract analysis).

The course covers many aspects, but one may have to wait a little for some parts to be clarified (you may experience a lot of questions before getting the answer some lectures after

von Camila E R

2. Feb. 2021

It was wonderful! I just would like to have a section where to ask for questions to be answered by the teachers, because the foruns sometimes made me more confuse and unconfident...

At the end of the course, I still don’t know:

- How to discover in R that BMI is higher in men

- What to do with variables with many missing values

Thank you for the course. I will keep doing the other courses...

von Khan S I

30. Jan. 2021

Overall the course has been satisfacory and helped in learning and refining the key statistical concepts in Public Health. It could be more helpful if videas were a bit longer and a bit more elaborative, as sometimes it became tough having a clarity on given topics and those times had to resort to google searches or youtube videos on the given topic.