Challenging and great course..

Quite difficult but amazing!

Useful and understandable.

Easy to understand.

Great content

great course

very useful

Very good

thank you

excellent

excellent

excellent

wonderful

Thanks

good

good

good

good

As the name suggests, this course delivers by teaching you the basics of inferential statistics - that is, conclusions based on samples. Definitely the most challenging course in the Methods and Statistics in Social Sciences specialization, and the most important takeaways are: 1) a beginner's look into programming with R and most importantly 2) a guide in understanding which test to use under each specific circumstance.

The only thing I think this course is missing is more preparation throughout the lectures, as sometimes the example exercises aren't enough (maybe add pop questions throughout each lecture, as it was done with Quantitative Methods, would be a good idea). This lack of extra preparation throughout the lectures makes the quizzes at the end of each week more difficult because you have to do extra research through other sources to fully understand the topics.

The theoretical background into the different methods of statistical analysis, and most of the examples, were quite well done and easy to follow. I was hoping the R-lab assignments would require more work; for example: to show how to enter in a line of code (like the R-lab assignments did) and then give a second (similar) example that would reinforce how to use R properly).

Overall, I think the course is a worth-while one for students who are looking to review inferential statistics for use in the future (like I was).

While the first course Basic Statistic was really thorough with step-by-step explainations, Inferential Statistics, near the end of the course sometimes rushed through some explanations. Therefor I sometimes needed extra literature to understand the calculations. Still, I highly recommend this course!

Fun examples make listening to the lectures fun and impressionable, which helps with remembering the explanations. This course would have been perfect if there was a fill in as you go summary table to summarise when to use all the different statistical tests.

The course is nice with much content and clear examples! So happy that I passed the final exam. But some transcripts in the videos are not correct and some steps in calculation were omitted. I hope reviews of quiz and exams are available.

Really a great course. It covers almost everything that is important in the subject. But maybe it could have been made better by adding the exercises more often than it is now as it covers a lot of syllabus.

A good introduction with very good videos and exercises. I'm only not giving 5 stars due to the relative lack of clarity in the final week and the lack of feedback on the final exam.