Provides a satisfactory overview of several basic statistical concepts and procedures, but most material is presented at the level of abstract theory. As such its practical significance is often hard to grasp and the relevance of the various presented statistical formulae is elusive. Furthermore, in each module the instructor presents a relatively fast-paced yet cursory overview of multiple statistical concepts and formulae, which makes the course less learner friendly, even when one pauses or rewatches the video lessons multiple times.

The course syllabus was enriching even for the first week. However, I was unable to access the data required for the quiz due to regional restrictions which is unimaginable for an online course that is offered to international and domestic students alike. The aim of an online course is to spread information via the unlimited possibilities of the internet, yet the design of this course severely undermines its purpose.

Very challenging and I found really difficult. I think the term "Introduction" is spot on. It doesn't really dig in too deeply on how to do statistical analysis as much as present terms and some random examples. However, it was excellent at getting your "feet wet" with concepts and terms that are thrown around a lot (e.g. ANOVA).

Great cource, but terrible attitude towards learners with russian citizenship. I can't even place my name on the certificate. You've restricted acces to everithing just because of our nationality and location. And now what? We could have buy cources from you but after all of that I'll never ever pay you anything. Farewell

The course covers a good spectrum of concepts. Moreover, confusion remained at the end of latter chapters on correct application of those concepts learnt from the lectures. The lecture content was simple and understandable; but the assignments were confusing.

I think there should be some more practical questions to do before each test. I also sometimes struggled to follow certain examples, I don't know whether it would be better to start with new examples rather than carrying on examples in certain modules.

Not enough explanation/teaching and the content is really boring. It's just the professor reading slides and not providing great examples. I find myself needing to use 3rd party content to supplement every lesson so far.

The course doesn't do a good job at explaining the core concepts well. I didn't find the extra videos relevant either. If you're curious about the basic concepts of statistics, just watch some youtube tutorials.

This course was taught at a much higher level than I was expecting. Concepts were broad and vague. Would have loved to work on concepts in greater detail or with additional practice and application.

Course was well organized and the content was also too good. However, the course could include some more examples. Overall it was good to start our journey is machine learning and data science.

very good course. Cuts to the chase. I enjoyed it as the lecturer was clear in his explanations and also I think all the necessary and important statistical parameters were mentioned.

This is not an introduction to statistics, the instructor assumes students having some basic background in probabilities, distributions. However, the slides are very useful.

This was a difficult course to understand. I felt like there needed to be more examples and practice problems. I'm still not 100% sure how to calculate probability.

It's a good course as a refresher, not as an introduction or if you are starting to learn the topic. Even if you pay Coursera Plus, the certificate has a cost.

Extraordinarily boring videos; the professor has zero personality. Really made it hard to watch and be excited to do so.

Great range of topics covered but needs to be greatly simplifed for it to truly be an 'introduction' course.

I ended asking for help most of the questions and maths was super hard I thought for a beginner course

while I believe challenges are a good thing, I think the course was too much for its 'beginner' label

Starts off as quite beginners-level, though the onslaught of formulas can be overwhelming.

it was ok for a general background refresh. I was expected more solid knowledge.

overall this is good course for learning statistics for Data science.

Content is good but pace is extremely fast towards the later weeks.

Roughly goes through many topics. Can get familiar with concepts

The course was good but there is a room to make it more good