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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).

The naming of the courses is a bit confusing. You call the previous course "basic stats" and this one "xxx stats", which could mislead others that this course is a continuation of the previous one or is more advanced. That's not true.

If you have learned econometrics and the preceeding course in this specialization, then you may not want to enroll for a better effect of study. Read the syllabus carefully at least.

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.

this is a pretty challenging course for those who are new in statistics.I feel confused about the videos sometimes,and I think more examples should be used to explain the formulas more clearly.

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.

Not giving 5 stars only because it was fast paced. With a low grasping power i had to watch the video again and again. Otherwise the content in the video is to the point.

I enjoyed this course. Being new to stats, I feel I needed more practice and extra examples. A lot of extra work and self-study helped me grasp and pass this course.

The quizzes and R lab were beneficial. The lectures were good. However, it left some questions unclear, and I, as a learner, wished for something more to be done.

The course is too compressed in my opinion but if you make it past the second week, the learning curve is not that steep anymore.

Wish there was a way to accept alternative methods on R assignments - got the answer but would not accept string of code

Mostly good, easy to understand. Would like to also understand how to work with actual, bigger data with R etc

Awesome however was a littler dificult to follow, I think it can be betther by a step by step practices...

Great course, not easy because lots of information is shared in a short time. But totally worth it!