This course will provide a set of foundational statistical modeling tools for data science. In particular, students will be introduced to methods, theory, and applications of linear statistical models, covering the topics of parameter estimation, residual diagnostics, goodness of fit, and various strategies for variable selection and model comparison. Attention will also be given to the misuse of statistical models and ethical implications of such misuse.
This course is part of the Statistical Modeling for Data Science Applications Specialization
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About this Course
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Shareable Certificate
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100% online
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Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Course 1 of 3 in the
Intermediate Level
Calculus, linear algebra, and probability theory.
Approx. 45 hours to complete
English
Skills you will gain
- Linear Model
- R Programming
- Statistical Model
- regression
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Course 1 of 3 in the
Intermediate Level
Calculus, linear algebra, and probability theory.
Approx. 45 hours to complete
English
Offered by
Start working towards your Master's degree
This course is part of the 100% online Master of Science in Data Science from University of Colorado Boulder. If you are admitted to the full program, your courses count towards your degree learning.
Syllabus - What you will learn from this course
8 hours to complete
Introduction to Statistical Models
8 hours to complete
8 videos (Total 82 min), 2 readings, 5 quizzes
8 hours to complete
Linear Regression Parameter Estimation
8 hours to complete
9 videos (Total 134 min)
9 hours to complete
Inference in Linear Regression
9 hours to complete
8 videos (Total 121 min), 1 reading, 5 quizzes
6 hours to complete
Prediction and Explanation in Linear Regression Analysis
6 hours to complete
6 videos (Total 82 min)
About the Statistical Modeling for Data Science Applications Specialization

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