Algebra

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Data Science Math Skills (Coursera) Coursera
Duke University

Data Science Math Skills (Coursera)

Embark on an educational journey designed to equip you with the fundamental math skills necessary for excelling in data science. This course is perfect for beginners who want to build a strong foundation in basic algebra, probability, statistics, and linear algebra without prior advanced math knowledge. Learn at your own pace and gain the confidence needed to tackle complex statistical analyses.

Nov 2nd 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.

Oct 26th 2026
4 Weeks
Funciones algebraicas y trascendentes (Coursera) Coursera
Universidad Nacional Autónoma de México

Funciones algebraicas y trascendentes (Coursera)

Este curso te introduce en el mundo fascinante de las funciones algebraicas y trascendentes, enseñándote desde sus fundamentos hasta aplicaciones prácticas en la vida diaria. A través de ejemplos concretos y problemas resueltos, aprenderás a modelar situaciones cotidianas utilizando diferentes tipos de funciones.

Oct 26th 2026
5-12 Weeks
Álgebra Básica (Coursera) Coursera
Universidad Nacional Autónoma de México

Álgebra Básica (Coursera)

Sumérgete en el fascinante mundo de la Álgebra con nuestro curso básico. Desde las reglas elementales hasta la resolución de ecuaciones, este curso te brinda una comprensión sólida para abordar desafíos matemáticos y aplicaciones científicas.

Oct 19th 2026
5-12 Weeks
Numerical Methods for Engineers (Coursera) Coursera
The Hong Kong University of Science and Technology - HKUST

Numerical Methods for Engineers (Coursera)

Dive into Numerical Methods for Engineers and gain a deep understanding of fundamental algorithms crucial to engineering success. This course covers root finding, matrix operations, integration, interpolation, and solving ODEs and PDEs. Learn how to apply these methods using MATLAB, an essential tool in the engineering field.

Oct 19th 2026
5-12 Weeks
Linear Algebra - Foundations to Frontiers (edX) EdX
University of Texas at Austin,UTAustinX

Linear Algebra - Foundations to Frontiers (edX)

Dive into Linear Algebra: Foundations to Frontiers, an edX course that offers a deep understanding of linear algebra principles and their application in matrix software development. This challenging yet rewarding program is ideal for mathematicians, engineers, scientists, and data professionals looking to enhance their analytical capabilities.

Self Paced
Self-Paced
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
Data Manipulation at Scale: Systems and Algorithms (Coursera) Coursera
University of Washington

Data Manipulation at Scale: Systems and Algorithms (Coursera)

Dive into the world of big data analytics with 'Data Manipulation at Scale: Systems and Algorithms'. This course will equip you with the knowledge and skills needed to effectively manage, analyze, and manipulate large volumes of data using cutting-edge systems and algorithms. Learn how to harness powerful computing resources and programming abstractions to extract valuable insights from complex datasets.

Oct 12th 2026
4 Weeks
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