Advanced Linear Models for Data Science 1: Least Squares

Advanced Linear Models for Data Science 1: Least Squares

This course offers an in-depth introduction to least squares regression, approached from a linear algebraic and mathematical perspective. It is designed for students with a foundational knowledge of linear algebra, multivariate calculus, statistics, regression models, and basic proof-based mathematics, along with some familiarity with the R programming language.

By the end of the course, students will gain a solid understanding of the linear algebra concepts underlying regression modeling, enhancing their overall comprehension of applied data science and regression analysis.

๐Ÿ†“ Free to Audit
๐Ÿ•’ Approx. 8 Hours
โœ๏ธ Advanced Level
๐Ÿงพ Paid Certificate Available Upon Completion
๐ŸŽ“ Offered by Johns Hopkins University via Coursera

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