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Advanced Linear Models for Data Science 2
This course is part of Advanced Statistics for Data Science.
Course Cost
Free course
Advanced
Skill Level
4 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Advanced Statistics for Data Science Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
23,299 Enrolled
English
What you'll learn
Master multivariate expected values and covariance matrices
Understand multivariate normal distribution properties
Apply distributional results in regression analysis
Develop confidence intervals and prediction intervals
Analyze residuals and PRESS statistics
Skills you'll gain
This course includes:
2.6 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
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There are 4 modules in this course
This advanced course provides a comprehensive exploration of statistical linear models with a focus on least squares from a linear algebraic and mathematical perspective. Students learn about multivariate expected values, the multivariate normal distribution, distributional results in regression, and residual analysis. The curriculum emphasizes mathematical rigor and theoretical foundations while building practical understanding of regression modeling for data science applications.
Introduction and expected values
Module 1 · 1 Hours to complete
The multivariate normal distribution
Module 2 · 1 Hours to complete
Distributional results
Module 3 · 1 Hours to complete
Residuals
Module 4 · 1 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Advanced Statistics for Data Science
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Frequently asked Questions
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