In an introductory statistics course, there was no need of discussing the Monty Hall Problem, Decision Tree Analysis, Monte Carlo Simulation etc. Time saved by foregoing these could have been utilised for incorporating some mathematical rigour. Without math anyone's undertanding of statistics and its usability will always be restricted.

The PDF notes were a good thig to use in a MOOC.

The subject was interesting and he did brought new topics which i liked but it was a bit draggy at times which made me to loose attention. Overall i liked it - especially the Monty Hall problem formulation and Bayesian update. The topic on p-value is still muddy for me.

last week's content was too short. It will be great if one more week is added to the course where the students can learn more about decision trees, linear modeling, and regression.

The Professor can't get to the point easily and he's clicking his tongue all the time, it's unbearable for people with misophonia.

Nice overall introduction to statistics, but suffers from bad grading mecanism when perofrming peer graded assignments.

the course is good but the first two week are boring and there I have lose my interest in this course

Not as much hands on as I hoped

Easy to teach Probability

I achieve new knowledge.

It's good to have an intro to statistics course but the tutor makes the course difficult to stick to. I'm talking about his teaching style which is slow and painful. Following suggestions from other reviews increased the speed of the video so I can bear listen to him. He needs to drop the unnecessary jokes and focus on the teaching delivery. He also needs to include more visual aids as he talks. This is not abstract module about theorising. It is important to have the slides along what he's saying. Also, some of the material in his long lectures are not covered but then included in the reading. For an intro course this should be corrected. He needs to introduce all important concepts that will appear in the quiz. In his lectures he goes on and on and on and the substance of each lecture is like only 1/5 of the actual length of the lecture. Finally, there's a script issue with the formulae in the quizzes. You end up relying on other learners to find out what the problem is. The tutor needs to be responsible for this.

This is my third Coursera course and the first which I did not enjoy. Many issues with being able to read the formulae in the quizzes and assignments. These were displayed bizarely and not the same as the video lectures nor the course notes. This is difficult information for many people to understand so consistency is key. In addition, I have not seen one response from a moderator (other courses had moderators responding to questions). In any type of math, stats courses it is imperative to have moderators helping students to ensure misinformation is not learned from student to student learning.

much lower level than expected. nice course for people who've not done alevel stats.

It's poorly done. The transcript of each video does not match the video. The professor continually uses mathematical notation, which may be fine for discussing statistics with statisticians. However, for students learning statistics, it's over the top. Just say "mean" instead of "X bar." I am a firm believer that if you can't explain something simply, you don't understand it. This course was not explained simply and gives few real-world examples. It's an academic course by a poor teacher who speaks in mathematical notation instead of plain English. Look elsewhere if you really want to learn statistics.

Very difficult