Learner Reviews & Feedback for Regression Modeling in Practice by Wesleyan University

This course is really an eye opener. I had no idea statistics would be this much fun! The way the course is set up is just beautiful. Concepts are clearly explained, and they give you such a good insight into the world of data science. Definitely gonna recommend this to a lot of people

I enjoy this course so far. I like how the course entirely depends on peer grading. It will help us to get some honest feedback on our research.

I would do it again, even if there was no tutor support in discussion forums it teaches the arguments very good.

easy to follow

Very nice lecture videos and explanations! Totally worth it

Awesome course. Thanks Prof. I am expecting more courses.

great course , a must for all science students

It needs hard work and a lot of practicing :)

The course content is very well-designed and to be honest, it doesn't go very deep into the statistical details and i completed the whole course within just a week. Still, it lays a good groundwork for future studies. Don't expect to be a data specialist after this course, but it definitely teaches you all the basic knowledge(Multiple regression, Logistic regression, examine model fit using q-q plot, standardized residuals and multiple diagnostic plots) you can start to implement to analyze your own data. And of course, if you are interested in all these topics and want to expand your knowledge, this course prepares you to furthure your studies. Great course! And I will sure recommend it to my friends with or without a statistical back ground.

I really like this training. It's good if you want a good view of applied regression.

I think you will get a lot out of this course/specialisation if you don't expect to be spoon-fed. I have seen comments here stating that only one dataset is used per course, not covering all the other options available. This is because you are supposed to understand the concepts presented to you and apply them to your own set and ideas.

The same in terms of grading: you should know whether your code throws up mistakes, how to fix those and whether your conclusions make sense.

It's preparation for the real world: the onus is on you to seek alternative sources of help at time (like stackflow), to correct your mistakes, to understand whether the result makes sense. Your classmates are only there to keep you to the deadline. In real life no-one will hold your hand.

Concepts are explained very well, I am finding it easy to complete two courses simultaneously quite quickly. Great specialisation.

Excelente curso!

Again, great job!

Very clear and documented videos, ability to choose between two différents statistical software: python and sas

Great but too much stock video footage of people smoking.

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Great classes. You need all of the content to manage data.

This was a great course. I've done a few in the area of stats, regression and machine learning now and the Wesleyan ones are the most well-rounded of all of them

Background Sound is awesome haha

This is the only course on SAS(structured) available for free till date

really enjoyed it

I liked the course. I would recommend it to others. Do not have any complains. However, I recommend you to consider making the grading procedure more granular, and providing an example sketch of how the exercise reports may look.

Good course with a lot of applicable techniques. Thanks for your time and teachings!

Assignmetns allow student to choose dataset and analysis - but are not very well structured.

Detailed exaplanations.

Good Course. To the point and clean lectures.