An excelent course to undertand basic statistics to analytics.

Great Course and good beginner friendly statistics concept

I think there should be formula deduction.

I understood most of the materials.

intrresting but need more practisie

F​ound it hard to follow at times

this course is amazing .

V​ery Informative!!!!

achcha course tha

Great

good

This course covered a LOT of concepts. That said, out of necessity, it goes rather quickly. Instead of showing proofs or how he got to an equation, the instructor often breezes over it saying "so as we saw from ..., we now have ..." and that often left me confused because I had only just been introduced to the necessary concept once before (and briefly at that). I am NOT saying the instructor did a bad job, just that for my learning style, a bit more repetition when it came to introducing new formulas would have been very helpful. Because things often felt glosses over, it was common for a 5 minute video to take me 45 minutes of figuring out how he'd gotten a figure. Now that I've completed the course, I would say I have a much better idea of what I don't know- notice that I'm not saying I now understand these concepts.

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.

I​ walked into this course with basic knowledge of statistics. Relearning this course, I can see that the concepts taught to me before were present and well taught. However, I think the course is too fast-paced and sometimes, the professor fails to properly go in-depth about the formula and how to answer the said question. It seemed like he was on a time budget to teach us statistics. I do believe that this course IS sufficient but I feel as the course is too rushed.

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).

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.

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.

v​ery 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.

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

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

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

need simplification of certain topics as anova p value