MS
13 de mai de 2021
Eye opening course. My first introduction to some of the issues surrounding p-values as well as how to better utilize them and what they truly represent. My first introduction to effect sizes as well.
YK
1 de mar de 2017
Excellent course. The lecturer has written code snippets that let the students visualize the meaning and interrelationship of p-values confidence-intervals power effect-size bayesian-inference.
por Carlos L F
•18 de jul de 2017
It's a really interesing course about statistical inferences. You can learn a lot about how to recollect data, how to analyse it and how to interpret it. It is very recommendable for all kind of researchers.
por Mark G
•9 de mai de 2021
This is an excellent course, one which I’d recommend to anybody with an interest in science, or open science, whether you be a scientist or just someone with an interest. Daniel does an excellent job here.
por Mark S
•14 de mai de 2021
Eye opening course. My first introduction to some of the issues surrounding p-values as well as how to better utilize them and what they truly represent. My first introduction to effect sizes as well.
por Aishwar D
•25 de ago de 2018
Thank you Daniel Lakens for creating and sharing this course in the way you have done. The content is very appropriate for any one anyone who is looking to work with Inferential Statistics. Many thanks
por Paul
•29 de jun de 2020
Excellent explanations. Strong examples. Helpful exercises. Highly recommended for anyone who ever has to conduct inferential statistics or read anything that reports a p value or bayes factor.
por Alvaro M B
•23 de fev de 2020
Easy to follow, well structured, good references, empathy of presenter. I will recomend this to other friends who made Black Belt certification and still don't have clear what the Pvalue is for.
por Victor M
•11 de jul de 2021
Solid course which taught me how to interpret p-values in a variety of contexts and taught me to not just to consider but (systematic and practical) ways of how to correct for publication bias.
por Yaron K
•2 de mar de 2017
Excellent course. The lecturer has written code snippets that let the students visualize the meaning and interrelationship of p-values confidence-intervals power effect-size bayesian-inference.
por Georgia P
•18 de jun de 2021
Really enjoyed this course! The content was perfect to get my stats brain raring to go for my PhD, and now I can go in with a much better insight on interpreting my findings from the get go.
por Andrés C M
•25 de mar de 2019
Excellent course. I improved my statistical knowledge and learned more about bayesian inference. Also, I learned something about how to pre-register a research and its benefits of doing so.
por Alvaro B
•23 de mar de 2022
Very complete an instructional. This is a very compled topic and concepts stick in your mind through the explanations and materials prepared by Lakens and the exams throghout the course.
por Miroslav R
•22 de fev de 2018
Excellent course with a lot to learn. After 10 years in data analysis it provided me with great new insights and material to further improve my skills and understanding of data analysis
por Bob H
•6 de out de 2017
This is a top-notch course. The ground (especially pitfalls) is very well covered, and useful free tools are engaged (R, G*Power, prof's own spreadsheets for calculating effect size).
por Turgon R
•27 de nov de 2020
This course is great! I learned a lot about statistics and how to have a critical thinking about tests and results in the literature. I also gain in confidence for doing statistics.
por Tiago Z
•19 de jun de 2018
This course changed my concepts not only about statistics but about research and science. Daniel Lakens is a fantastic lecturer and scientist. I can't recommend this course enough.
por Rizqy A Z
•10 de jul de 2018
This course is immensely helpful to improve my area of expertise. This course also fills the gap of my previous formal training with current challenges in my career as a scientist
por Yashar Z
•16 de out de 2016
Really nice course! begins from basics but gives you a deeper understanding of concepts. Plus the quizzes are open for auditing (as one expects from an open science advocate)!
por Marcin K
•22 de dez de 2016
Great course. Daniel explains everything clearly and with examples in R code which makes all of the concepts easier to understand. A must-take for experimental psychologists.
por Kevin H
•13 de mai de 2019
Very good introduction course. An improvement could be to include more high level summaries of each sections. I think it could help students better organize their thoughts.
por Jakob W
•5 de jan de 2018
Hi! Thanks a ton for a spectacular course. I pick up new understanding every week here, and I actually look forward to going through the material each week. So great job!
por Hendrik B
•18 de nov de 2017
One of the best courses I have done so far on Coursera. Fairly advanced and very helpful for (under-) grad students running experiments or working with data in general.
por Shunan H
•14 de out de 2019
I like this course so much, Prof. Jeff makes all lectures clearly, but some answers and details in quizs are not mentioned in video and I have some problems with them.
por Gregory D
•26 de mar de 2018
Excellent course. Must take for any students interested in doing scientific research, especially in the domain of the social sciences. Very interesting and informative.
por Glenn
•21 de jun de 2017
Excellent course. The materials were well laid out and explained in an accessible but thorough manner. I've already begun using what I've learned in my current work.
por Andres F P A
•16 de ago de 2021
Really good course! The course reviews several common statistical methods and tools used in research and strive to help the student on their interpretation.