DW
Great but too much stock video footage of people smoking.
This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Using either SAS or Python, you will begin with linear regression and then learn how to adapt when two variables do not present a clear linear relationship. You will examine multiple predictors of your outcome and be able to identify confounding variables, which can tell a more compelling story about your results. You will learn the assumptions underlying regression analysis, how to interpret regression coefficients, and how to use regression diagnostic plots and other tools to evaluate the quality of your regression model. Throughout the course, you will share with others the regression models you have developed and the stories they tell you.
DW
Great but too much stock video footage of people smoking.
PC
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
MY
This is a great beginner level course for those have no programming experience. But I would suggest the content to be extended to 8 weeks instead of 4 weeks.
SY
Great explanation of stat and useful coding examples.
ZP
Very nice lecture videos and explanations! Totally worth it
VS
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.
MK
Awesome course. Thanks Prof. I am expecting more courses.
RK
This is the only course on SAS(structured) available for free till date
SG
I really like this training. It's good if you want a good view of applied regression.
PX
Good for understanding concepts and running code in SAS but still needs more depth to the coursework.
AS
Besides, training in SAS Studio and Python,the course offers extremely useful insights on regression models. Highly recommended for risk management professionals