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Avis et commentaires pour d'étudiants pour Advanced Linear Models for Data Science 2: Statistical Linear Models par Université Johns-Hopkins
80 évaluations
À propos du cours
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.
Meilleurs avis
SM
2 avr. 2020
This is a great course from Johns Hopkins University . By taking this course, I improved my Data Management, Statistical Programming, and Statistics skills.
PP
12 oct. 2019
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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par Sehresh M
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