Linear Models

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1.- El Cálculo - Modelo Lineal (Coursera) Coursera
Tecnológico de Monterrey

1.- El Cálculo - Modelo Lineal (Coursera)

Sumérgete en una secuencia de cursos diseñados para prepararte eficazmente en Matemática Preuniversitaria, enfocándote en el modelo lineal del cálculo. Este curso te brinda un acercamiento práctico y significativo al contenido matemático, integrando herramientas digitales para una experiencia de aprendizaje completa.

Aug 3rd 2026
4 Weeks
Advanced Linear Models for Data Science 2: Statistical Linear Models (Coursera) Coursera
Johns Hopkins University

Advanced Linear Models for Data Science 2: Statistical Linear Models (Coursera)

Dive into the world of Advanced Linear Models for Data Science with Class 2: Statistical Linear Models. This course is designed to provide a deep understanding of least squares from both linear algebraic and mathematical perspectives. Suitable for those with a basic grasp of linear algebra, multivariate calculus, statistics, regression models, proof-based mathematics, and R programming.

Aug 3rd 2026
4 Weeks
Model Thinking (Coursera) Coursera
University of Michigan

Model Thinking (Coursera)

In this comprehensive online course, 'Model Thinking', you'll explore the art and science of creating simplified representations of complex realities to better understand and navigate the world around us. Whether you're a student, professional, or simply curious about how we make sense of the chaos in our lives, this course will equip you with powerful tools to organize information, predict outcomes, and improve your decision-making processes.

Jul 27th 2026
5-12 Weeks
Fundamentals of Quantitative Modeling (Coursera) Coursera
University of Pennsylvania

Fundamentals of Quantitative Modeling (Coursera)

Discover the power of numbers in business with 'Fundamentals of Quantitative Modeling'. This course will equip you with essential skills for interpreting spreadsheets, analyzing past performance, and predicting future outcomes using quantitative modeling. Whether you're new to data analysis or looking to refine your existing skills, this course offers a structured approach to mastering the art and science of putting data to work.

Jul 27th 2026
4 Weeks
Advanced Linear Models for Data Science 1: Least Squares (Coursera) Coursera
Johns Hopkins University

Advanced Linear Models for Data Science 1: Least Squares (Coursera)

Dive into the world of advanced linear modeling with our introductory course on Least Squares. Gain a solid foundation in linear algebra, multivariate calculus, statistics, and regression models as you learn how to apply least squares methods effectively in data science projects. This course is perfect for those looking to deepen their understanding of predictive analytics.

Jul 27th 2026
5-12 Weeks
Quantifying Relationships with Regression Models (Coursera) Coursera
Johns Hopkins University

Quantifying Relationships with Regression Models (Coursera)

Dive into the world of statistical analysis with our 'Quantifying Relationships with Regression Models' course. Master the art of understanding complex data sets by learning how to apply various regression models effectively. From bivariate to interactive models, this course will equip you with essential skills in data interpretation and predictive analytics.

Jul 27th 2026
4 Weeks
Regression Models (Coursera) Coursera
Johns Hopkins University

Regression Models (Coursera)

Dive into Regression Models, a crucial course for aspiring data scientists on Coursera. Explore linear assumptions, learn how to relate outcomes to predictors effectively using regression analysis, and understand the principles of least squares and statistical inference. This course is perfect for those looking to deepen their understanding of essential statistical tools.

Jul 20th 2026
4 Weeks
Introduction to Linear Models and Matrix Algebra (edX) EdX
HarvardX,Harvard University

Introduction to Linear Models and Matrix Algebra (edX)

Discover the essential principles of Linear Models and Matrix Algebra in this introductory data analysis course on edX. Perfect for those interested in life sciences, this program teaches you how to represent complex analyses with matrix algebra and perform statistical inference using R programming. Enhance your understanding of experimental design and high-dimensional data analysis.

Self Paced
Self-Paced
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