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.
This module was the maximum. I learned how powerful the use of Regression Models techniques in Data Science analysis is. I thank Professor Brian Caffo for sharing his knowledge with us. Thank you!
This course has been the most difficult in the Dara Science track so far, but you get a more in depth knowledge in data analysis and interpretation based on statistical models.
автор: Daniel C J•
Great introductory course on Regression Models. Super practical and well explained. Definitely doing the exercises and final project is a must to get all the learnings!
автор: Sindre F•
Interesting and important course!
I don't think this course is suitable for beginners. You need to know this stuff before you take the course. Works well as a refresher.
автор: Aisha H•
Loved the course and the content. Only critique is that I would have liked to have a lecture about transformations, and interpretation of transformed data coefficients.
автор: Connor G•
Extremely valuable content to my pursuit of a career in data science. This, paired with the Machine Learning, are giving me great insights into predictive analytics.
автор: Ioannis B•
Exceptional course for the subject of Regression. You can really understand the foundations and build on it with R. Congratulations to the instructors and the team.
автор: Samy S•
Good introduction to the usefulness and traps of linear models. By the way, having the teacher filmed for the lectures does provide a more engaging experience.
автор: Elena C•
A very intense course, where a lot of concepts are introduced. In order for all the new information to be metabolized, it took me much more than four weeks.
автор: Pedro C D•
Impressive! Very detailed in statistics and Mathematics, I would like an extensive course in logistic regression, it was short compared with lm course.
автор: Maxim M•
A very good course, goes deeply into the material. The pace of the professor is ok. It's nice that he uses some practical cases to explain the theory.
автор: Jorge B S•
I have loved this introductory course about Regression. The swirl exercises are especially useful to revise the course content and apply the theory.
If there is more introduction about the common problems people may encounter during working in the real world, the course will be better!
автор: Paul F G•
Excellent, highly focused course with current R libraries for learning various regression methods and methodology. I highly recommend this course.
автор: Juliusz G•
Very practical/hands-on intro to regression models. You will definitely be able to apply those methods after this course whenever you need them.
автор: Hernan S•
This course is perfect to get started with Regression Models in R! I think you would need some familiarity with the statistical concept though.
автор: Reza M•
Excellent course on regression modelling it showcases the power of R. quite a heavy module though for people with none statistical background
автор: Kumar G G•
I think this is the best course I have ever came across in the coursera. Everything is discussed in the most simple manner with great depth.
автор: Shivendra S•
In-depth and detailed, this one month course will provide aspirants with the knowledge and skills required to conduct efficient regressions.
автор: Lopamudra S•
The Regression Models is an excellent course for a beginner.I would recommend the enthusiastic students for a great start in Data science.
автор: James E•
Thorough material with challenging quizzes means that you finish this course feeling like you genuinely have a good handle on the topic.
автор: Emanuele M•
It's a great course and tought very well. It required effort, you apply many of previously teach concept and requires a lot of excercise
автор: Abhinav G•
Very Helpful course. I am from a non -stats background and this has helped me a lot in understanding such deep concepts of Statistics.
автор: MEKIE Y R K•
Really interesting and full of advices.
But would like to dig more into the Logistic and poisson regression residuals explanations :)
автор: Matthew C•
Week 4 was a lot harder than the other weeks (specifically the quiz). Overall, a lot of great information packed into this month.
автор: Sandra M•
Everything you need to know to have a clear understanding of regression models and learn how to use their basic functions in R.