Excellent course that is jam-packed with useful material! It is quite challenging and gives a thorough grounding in how to approach the process of selecting a linear regression model for a data set.
It really helped me to have a better understanding of these Regression Models. However, I've noticed that there is a video recording repeated: Week 3, Model Selection. Part 3 is included in Part 2.
par Daniel A S•
Very good and complete, the professor is very clear in his explanations and very helpful for data science applications.
par Ekaterina S•
It was a very usefull course. It is a very good approach to the theme - the main essence without much math difficulty.
par Ivana L•
One of the most valuable course in series. Also one of the hardest, expecially if you are newbie to regression models.
par Marco B•
very useful! it provides both theoretical framework and practical skills!
it helped me improve my daily data analysis!
nice and practical class! I think if provide some recommend reading may create more deeper insight in regression
par Joseph R•
A very well organized course with nice simple explanations and introductions into the world of regression models
par Gregorio A A P•
Excellent, but I would be grateful if you could translate all your courses of absolute quality into Spanish.
par marcelo G•
Outstanding material with different levels of difficulty and depth on the subject. Great source material.
par Greg A•
I thought I understood regression, but this course help me gain new insights and really sharpen my skills
par Nilrey J D C•
Very concise and informative. This gives me a good review in my college statistics regression subjects
par Erika G•
I had a lot of fun in this course. The exercises in the text and quizzes help me understand the concepts
par Carlos M•
I learned a lot of theory and practical applications of residuals. The swirl assignments were great too!
par Robert W S•
Excellent course. Might be difficult to get full value of information without prior exposure/background.
par André C L•
very good practical approach, with good theoretical coverage of most important principles of regression
par Irene R•
Very good course, i learnt a lot. Looking forward to take more advanced courses on regression models.
par Berthold J•
Very good lecture and also decent level of difficulties that requires to think/read additional stuff.
par Ewa W•
Very Challenging Course
Very well presented
Great material/source of information for study
Loved It !
par hyunwoo j•
easy to understand and full of new idea about using R.
especially 'manipulate' package is very useful
par Thomas A•
A good review of regression that allows the student to apply practical implementations in R Studio
par Сетдеков К Р•
It was rather hard and time consuming, but I learned a lot about poisson and binomial regressions.
par Carlos A D V•
The best course of the Data Science Specilization until now and by far. Very practical and useful!
par Ahmed M K•
One of the best courses on Coursera for sure. Thank you so much. Regression has never been easier.
par Muzaffar H•
A very good data analysis course, highly useful for quantitative method and empirical findings.
par Laura N M•
The course present a good overview for linear models, including the generalized linear models.
par Ignacio O•
I learned a lot of techniques and understood the basics of Regression Models.