Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions. Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit. This course covers regression analysis, least squares and inference using regression models. Special cases of the regression model, ANOVA and ANCOVA will be covered as well. Analysis of residuals and variability will be investigated. The course will cover modern thinking on model selection and novel uses of regression models including scatterplot smoothing....

Dec 17, 2017

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.

Feb 01, 2017

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.

필터링 기준:

교육 기관: Vinicio D S

•Apr 23, 2018

Great course to get the basics on Linear Models and Inference. Great Introduction to Logistic Regression and Poisson Regression. Good emphasis in Diagnostics of the main assumptions

교육 기관: Steven C

•Mar 15, 2017

Good course on the theories behind regression, followed by significant applications and how to use them in R. Lectures are very dry, but the information within them is very useful.

교육 기관: Boris K

•Oct 30, 2019

Along with the Statistical Inference Class and Building Predictive Models Class this is one of the best in this Specialization. It is reasonably tough, well-taught, overall great.

교육 기관: Yadder A G

•Mar 28, 2019

The course was incredible. You can learn a lot of skills about regression models and even more. It would be incredible if the course could have more examples or little excercises.

교육 기관: Juan V

•Oct 16, 2017

It is very interesting, however is difficult to follow the math explanations, it could be more easy with practical examples.... like the final assignment, it was difficult to me.

교육 기관: Andretti

•Mar 01, 2017

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.

교육 기관: Daniel C J

•Aug 02, 2017

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!

교육 기관: Sindre F

•Aug 01, 2016

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.

교육 기관: Aisha H

•Feb 02, 2016

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.

교육 기관: Connor G

•Sep 18, 2017

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.

교육 기관: Ioannis B

•Aug 01, 2017

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.

교육 기관: Samy S

•Feb 25, 2016

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.

교육 기관: Elena C

•Mar 03, 2017

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.

교육 기관: Pedro C D

•Nov 15, 2018

Impressive! Very detailed in statistics and Mathematics, I would like an extensive course in logistic regression, it was short compared with lm course.

교육 기관: Maxim M

•Dec 10, 2017

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.

교육 기관: Jorge B S

•Jun 20, 2019

I have loved this introductory course about Regression. The swirl exercises are especially useful to revise the course content and apply the theory.

교육 기관: 20e

•Aug 06, 2018

Helpful!

If there is more introduction about the common problems people may encounter during working in the real world, the course will be better!

교육 기관: Paul F G

•Jun 13, 2018

Excellent, highly focused course with current R libraries for learning various regression methods and methodology. I highly recommend this course.

교육 기관: Juliusz G

•Nov 21, 2016

Very practical/hands-on intro to regression models. You will definitely be able to apply those methods after this course whenever you need them.

교육 기관: Hernan D S P

•May 19, 2018

This course is perfect to get started with Regression Models in R! I think you would need some familiarity with the statistical concept though.

교육 기관: Kumar G G

•May 01, 2017

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.

교육 기관: Shivendra S

•Mar 04, 2017

In-depth and detailed, this one month course will provide aspirants with the knowledge and skills required to conduct efficient regressions.

교육 기관: Lopamudra S

•Nov 30, 2017

The Regression Models is an excellent course for a beginner.I would recommend the enthusiastic students for a great start in Data science.

교육 기관: Emanuele M

•Aug 11, 2016

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

교육 기관: abhinav p g

•Jun 28, 2017

Very Helpful course. I am from a non -stats background and this has helped me a lot in understanding such deep concepts of Statistics.

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