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Advanced Linear Models for Data Science 2: Statistical Linear Models

Advanced Linear Models for Data Science 2: Statistical Linear Models

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8.8/10 (Our Score)
Product is rated as #72 in category Data Science

Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: – A basic understanding of linear algebra and multivariate calculus. – A basic understanding of statistics and regression models. – At least a little familiarity with proof based mathematics. – Basic knowledge of the R programming language. After taking this course, students will have a firm foundation in a linear algebraic treatment of regression modeling. This will greatly augment applied data scientists’ general understanding of regression models. The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life–long learning, to foster independent and original research, and to bring the benefits of discovery to the world.

Instructor Details

Brian Caffo, PhD is a professor in the Department of Biostatistics at the Johns Hopkins University Bloomberg School of Public Health. He graduated from the Department of Statistics at the University of Florida in 2001. He works in the fields of computational statistics and neuroinformatics and co-created the SMART ( www.smart-stats.org) working group. He has been the recipient of the Presidential Early Career Award for Scientist ( PECASE) and Engineers and Bloomberg School of Public Health Golden Apple and AMTRA teaching awards.

Specification: Advanced Linear Models for Data Science 2: Statistical Linear Models

Duration

10 hours

Year

2017

Level

Expert

Certificate

Yes

Quizzes

Yes

4 reviews for Advanced Linear Models for Data Science 2: Statistical Linear Models

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  1. Mark R L

    Good course on applied linear statistical modeling.

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  2. Sergio G

    Very good… Thanks

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  3. Pawel P

    Very informative and interesting.

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  4. Dat

    It is a very good course for any statistics to learn and have a sweet tastes of math and its behind functionality on data.

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    Advanced Linear Models for Data Science 2: Statistical Linear Models
    Advanced Linear Models for Data Science 2: Statistical Linear Models

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