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: Carlos A C Z

•Jan 15, 2018

This was a good course. I learn a lot making the final Project of the course

교육 기관: Raunak S

•Nov 10, 2018

a very good course before digging deeper into Data Science advanced topics.

교육 기관: Tai C M

•Sep 26, 2017

This course is not as tough as the statistics class. Easier to understand.

교육 기관: SATHYANARAYANAN S

•Sep 11, 2017

Very good for anyone wanting to get into the field of Data Science using R

교육 기관: Vitalii S

•Jul 20, 2017

I liked this course, but I would like that last task be more complicated.

교육 기관: Joe B

•Jan 30, 2016

Great course with a thorough introduction to regression and linear model.

교육 기관: Jay S

•Jul 29, 2016

Very informative and detailed explanation of how regression model works!

교육 기관: Mayank C

•Feb 25, 2016

Very comprehensive course for developing the basics of regression models

교육 기관: Shubham S Y

•Jun 26, 2017

Good for clearing out your basic Regression doubts and that too in R!

교육 기관: Kyle H

•Apr 02, 2018

A great, quick treatment of the major touch points of linear models.

교육 기관: N S N

•Jan 02, 2018

Very Exciting Journey of learning and thoroughly enjoyed the course.

교육 기관: Sabawoon S

•Sep 12, 2017

Excellent course, it could be improved with more practical examples.

교육 기관: Rodrigo P

•Aug 04, 2017

Very interesting topics and discussions, but not easy to understand.

교육 기관: Bojan B

•Oct 14, 2018

Great course with great materials. Easy to understand and to learn.

교육 기관: 陈颐欢

•Jun 30, 2018

Basic idea about regression , it's very useful for beginner like me

교육 기관: Wesley E

•Feb 15, 2016

Great introduction and plenty of resources for more in depth study.

교육 기관: Amanyiraho R

•Jan 13, 2020

Gives you the best understanding of the roots of regression models

교육 기관: Illich M

•Jun 16, 2017

Tough course! I had to take it a couple of times to understand it.

교육 기관: Ji, L 吉

•Sep 28, 2016

I really learned some useful knowledge and codes from this course!

교육 기관: john c

•Dec 11, 2016

Hard but rewarding work that I think is perfect for Data Science.

교육 기관: Charbel L

•Aug 20, 2019

Very comprehensive introduction to regression models. Well done!

교육 기관: Laro N P

•Jun 19, 2018

More examples and exercises wil be better but is a great course.

교육 기관: Shashikesh M

•Jul 27, 2017

One of the most required skill set in the field of data science.

교육 기관: Prakhar P

•May 10, 2018

The concepts are explained in a very concise and crisp manner.

교육 기관: Light0617

•Dec 28, 2016

great courses!!! very practical but no a lot of mathemetics