Mar 02, 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.
Feb 22, 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
创建者 Tiago C Z•
Jun 19, 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.
创建者 Justyna J Z•
Apr 29, 2018
Very engaging, I love the way this course is taught!
创建者 Davide F S•
May 21, 2017
Clear, concise, and engaging explanation of many statistical concepts that can be readily applied in research.
创建者 Brendan P•
Oct 21, 2017
Excellent content and delivery throughout.
创建者 Pablo B•
Sep 22, 2017
Enjoyable, useful, necessary.
创建者 Michael E•
Jun 25, 2017
Thank you. This course represents a great deal of important work for me to continue to revisit and incorporate in my efforts moving forward.
创建者 Jesús D Z M•
Jun 12, 2017
very, very great course about inferential statistics
创建者 Muhammad T S•
Nov 09, 2017
This is a very powerful course. Simple content but with lots of depth and newer perspective on statistical testing. Learned a lot. Highly recommended.
创建者 Sandra V•
Dec 10, 2016
Extremely useful cours, especially the first 5 weeks! Pleasant and enjoyable. Definitely recommended!
创建者 Rikki L•
Apr 30, 2018
The course is excellent. I only wish that I'd enrolled sooner!
创建者 Syarif M•
Dec 03, 2016
highly recomended for all level. The explanation is very beginners friendly.
创建者 Jayadev H•
May 11, 2018
Sooo good! Cant even begin to explain how essential and wonderful this understanding is!
Great thanks to Dr Daniel! Such an expert in the field!
Thank you Dr!
创建者 Zak R•
Aug 11, 2017
A brilliantly informative and engaging exploration of some the issues involved in data analysis and hypothesis testing. Though I'm probably still a while away from using many of the techniques covered myself in formal research, I certainly feel better equipped to interpret existing research and spot potential statistical slip-ups. Much recommended!
创建者 Heidi M•
Dec 30, 2016
fun and very informative course - thank you very much!
创建者 Mesionis I•
Jun 06, 2017
Excellent course!!!!!!Really descriptive with great examples and practises!!
创建者 Hendrik B•
Nov 18, 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.
Oct 30, 2016
This course really delivers on its core premise: it helped me understand the core principles behind frequentist statistics, gave me some basic understanding of Bayesian statistics, and will definitely prevent me from chasing my tail as far as potential future research is concerned.
Although the course seems to be addressed to current and future researchers, I would recommend taking it to anyone interested in science as it will give you tools to read and understand research papers (esp. the basic reports in social science/experimental psychology).
I would consider this course an excellent resource and introduction to the so-called "new statistics", and covers topics crucial to conducting reproducible research.
The lectures are wonderfully taught and explain everything clearly. The hands-on assignments are challenging for the right reason: they test your knowledge and comprehension of the material at hand (some on-line courses did a number on me, and required extracurricular knowledge in order to succeed with completing the assignments).
I think that even stats newbies might be able to take the course and learn a lot, as most of the material pretty much addresses the basic, core philosophy of statistics, and you don't need to know how to conduct specific tests in order to understand what Daniel is trying to share with you.
This course is *the* course for anyone eager to understand what their stats 101 classes failed to even address.
创建者 Oana S•
Dec 27, 2016
Amazing learning experience
创建者 Sean H•
Nov 27, 2016
I'm so glad I took this class! I learned how to better design experiments and interpret common statistical practices in the literature. The lectures are entertaining and informative, and the professor is charming and funny. Even though I'm an immunologist and the course is aimed at the social sciences, I feel like a better scientist now.
创建者 Wilte Z•
Oct 23, 2016
Clear explanations of the concepts of statistics, without too much emphasis on the formulas. With handy references to online tools, like power calculators.
创建者 Matti H•
Dec 13, 2016
I encourage all my friends in research to not do anything before doing this course! The pedagogical touch is different to any stats classes I've been on or stats MOOCs I've taken. After many lectures, I was just left staring at the screen, with the phrase "I must tell everyone" repeating in my head :)
创建者 Ramiro B•
Nov 06, 2017
I really like this class, it was very useful and the content was high quality. My only issue - which might have nothing to do with the class or the instructor - was that the exams were really long and boring. It would have been more enjoyable to be to have shorter, more focused examinations instead of a long exam at the end of a section or at the end of the class. EdX does this better.
创建者 Oliver C•
Dec 17, 2017
A really important course for anyone who wishes to make statistical inferences as part of their research. I highly recommend this for people at all stages in their career - particularly for people currently planning their research. It is very well delivered and will make you question your statistical knowledge.
创建者 Katia D•
Feb 11, 2018
Great course! Although I was struggling with lecture 2 (Bayesian Statistics)––It was very mathsy and a bit difficult to follow.
创建者 Kathryn S•
Dec 10, 2017
I absolutely loved Prof Lakens' clarity! The effort he put into making the material and the assignments easy to understand is astounding.