Sci: Mathematics

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Integral Calculus and Numerical Analysis for Data Science (Coursera) Coursera
University of Colorado Boulder

Integral Calculus and Numerical Analysis for Data Science (Coursera)

Unlock the power of math with our course on Integral Calculus and Numerical Analysis for Data Science. Perfect for those new to data science or those who've struggled with math in the past, this course provides a clear and intuitive approach to essential calculus concepts and numerical methods crucial for data analysis. Learn integration by parts, area under curves, root-finding algorithms, matrix decomposition, and partial derivatives.

Sep 14th 2026
4 Weeks
Linear Algebra: Orthogonality and Diagonalization (Coursera) Coursera
Johns Hopkins University

Linear Algebra: Orthogonality and Diagonalization (Coursera)

Dive into the final chapter of our Linear Algebra Specialization series where you'll explore the intricate world of orthogonality and diagonalization. This course is designed to equip you with advanced knowledge on orthogonal vectors, transformation, and symmetric matrices, essential for a wide range of applications from engineering to data science.

Sep 14th 2026
4 Weeks
Image and video processing: From Mars to Hollywood with a stop at the hospital (Coursera) Coursera
Duke University

Image and video processing: From Mars to Hollywood with a stop at the hospital (Coursera)

Explore the fascinating world of digital imaging with our Image and Video Processing course. Dive into how images are created, altered, stored, and used in various applications ranging from space exploration to movie magic. This course is designed for those curious about the science behind visual media and looking to enhance their skills in this rapidly evolving field.

Sep 7th 2026
5-12 Weeks
Analytic Combinatorics (Coursera) Coursera
Princeton University

Analytic Combinatorics (Coursera)

Dive into the world of Analytic Combinatorics with this comprehensive online course. Master the symbolic method to understand functional relations among ordinary, exponential, and multivariate generating functions. Explore techniques in complex analysis to derive precise asymptotic results. This free course is ideal for those interested in combinatorial structures and their quantitative analysis.

Sep 7th 2026
5-12 Weeks
Introduction to Mathematical Thinking (Coursera) Coursera
Stanford University

Introduction to Mathematical Thinking (Coursera)

Discover the powerful cognitive process of mathematical thinking with our Introduction to Mathematical Thinking course. Unlike traditional school math, this course teaches you to think like a mathematician, solving real-world problems effectively and efficiently. Perfect for anyone interested in developing critical thinking skills or pursuing further studies in mathematics.

Sep 7th 2026
5-12 Weeks
Neuronal Dynamics (edX) EdX
École Polytechnique Fédérale de Lausanne,EPFLx

Neuronal Dynamics (edX)

Discover the secrets behind brain function with 'Neuronal Dynamics'. This course unravels the complex world of neuron behavior through mathematical modeling, offering insights into how individual neurons and networks operate. Perfect for students and professionals interested in neuroscience, biology, and cognitive science.

Self Paced
Self-Paced
Aléatoire : une introduction aux probabilités - Partie 1 (Coursera) Coursera
École Polytechnique

Aléatoire : une introduction aux probabilités - Partie 1 (Coursera)

Plongez dans l'univers fascinant des probabilités avec notre cours d'introduction. Ce parcours introductif vous guidera à travers les bases des variables aléatoires, de la loi des grands nombres au théorème de la limite centrale. Conçu pour débutants, ce cours offre une compréhension solide et pratique grâce à des explications claires et un soutien par des exercices corrigés.

Sep 7th 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