Regression Models

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8/10 stars
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Course Details

Cost

FREE,
Add a Verified Certificate for $49

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Course Provider

Coursera online courses
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with yo...
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with your coursework. Coursera also partners with the US State Department to create “learning hubs” around the world. Students can get internet access, take courses, and participate in weekly in-person study groups to make learning even more collaborative. Begin your journey into the mysteries of the human brain by taking courses in neuroscience. Learn how to navigate the data infrastructures that multinational corporations use when you discover the world of data analysis. Follow one of Coursera’s “Skill Tracks”. Or try any one of its more than 560 available courses to help you achieve your academic and professional goals.

Provider Subject Specialization
Humanities
Sciences & Technology
4802 reviews

Course Description

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.
Regression Models course image
Reviews 8/10 stars
2 Reviews for Regression Models

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Atheer Al Attar profile image
Atheer Al Attar profile image
8/10 starsCompleted
  • 3 reviews
  • 3 completed
4 years, 1 month ago
The main issues of this course its fast pace. Prof. Caffo tone of speech and style of lecture delivery is kind of fast and stuffed with information thus you need to stop several times more than you do in other courses for this specialization [ i.e. comparing with Dr. Peng]. Although I have taken statistical analysis in my post. grad I needed to go back and review several topics. The course companion book provided was not the best option for me [I had to refer to some Youtube videos and used the book of Introduction to Statistics and Probability by Mendhell]. I would say that swirl were a good helper after I finished the lectures. The Course project level was not on the same level with the given material to some extent although I managed to solve all the requirements. One good take of this course is I have done good amount of ggplot plots and started to understand how this great package works. Overall, if you are planning to take this... The main issues of this course its fast pace. Prof. Caffo tone of speech and style of lecture delivery is kind of fast and stuffed with information thus you need to stop several times more than you do in other courses for this specialization [ i.e. comparing with Dr. Peng]. Although I have taken statistical analysis in my post. grad I needed to go back and review several topics. The course companion book provided was not the best option for me [I had to refer to some Youtube videos and used the book of Introduction to Statistics and Probability by Mendhell]. I would say that swirl were a good helper after I finished the lectures. The Course project level was not on the same level with the given material to some extent although I managed to solve all the requirements. One good take of this course is I have done good amount of ggplot plots and started to understand how this great package works. Overall, if you are planning to take this course keep in mind that you will need extra working hours comparing with other courses to finish it in a good shape and DONT forget to create a good notebook because you will need every single word, don't count on your short term memory.
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Nirav Desai profile image
Nirav Desai profile image
10/10 starsCompleted
  • 9 reviews
  • 9 completed
4 years, 1 month ago
This course on Regression Models helps develop statistical models for analyzing data sets. These regression models help explore the relationships between the variables and build the first analytic models before any machine learning techniques are applied. The models covered are very useful for scientific research.
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