Mathematics

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MathTrackX: Statistics (edX) EdX
University of Adelaide,AdelaideX

MathTrackX: Statistics (edX)

Dive into the world of statistical inference with our comprehensive online course, MathTrackX: Statistics. Building upon your understanding of probability and random variables, this course will equip you with the skills to apply statistical concepts to real-world scenarios, enhancing your ability to analyze and interpret data effectively.

Self Paced
Self-Paced
Advanced Linear Algebra: Foundations to Frontiers (edX) EdX
University of Texas at Austin,UTAustinX

Advanced Linear Algebra: Foundations to Frontiers (edX)

Dive into Advanced Linear Algebra: Foundations to Frontiers (ALAFF) and elevate your understanding of linear algebra's role in computing and data science. This course will equip you with advanced knowledge, practical skills in algorithm implementation, and insights into the nuances of floating-point arithmetic.

Self Paced
Self-Paced
Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD (edX) EdX
Georgia Institute of Technology,GTx

Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD (edX)

Dive into the complex world of Linear Algebra with this comprehensive course. Learn about Orthogonality & Symmetric Matrices and the Singular Value Decomposition (SVD) – essential topics that underpin many areas of mathematics, computer science, and engineering. This course is ideal for those looking to enhance their understanding of advanced linear algebra concepts.

Self Paced
Self-Paced
Precalculus: Relations and Functions (Coursera) Coursera
Johns Hopkins University

Precalculus: Relations and Functions (Coursera)

Embark on a journey to understand the fundamental concepts of precalculus through this engaging online course. Designed for all students, it focuses on relations, functions, and their critical role in modeling real-world scenarios. Perfect for those aiming to enhance their data analysis skills and prepare for advanced mathematics courses like calculus.

Sep 21st 2026
4 Weeks
Precalculus: Periodic Functions (Coursera) Coursera
Johns Hopkins University

Precalculus: Periodic Functions (Coursera)

Discover the power of precalculus with our comprehensive online course dedicated to exploring periodic functions. This course is designed for students seeking to build foundational math skills essential for scientific inquiry and future studies in mathematics and science. Learn how to model, analyze, and interpret data using key precalculus concepts.

Sep 21st 2026
5-12 Weeks
Precalculus: Mathematical Modeling (Coursera) Coursera
Johns Hopkins University

Precalculus: Mathematical Modeling (Coursera)

Discover the power of precalculus with our 'Precalculus: Mathematical Modeling' course on Coursera. This comprehensive program is designed to equip students with essential mathematical tools needed to model, analyze, and interpret real-world phenomena. Dive into functions, their properties, and applications in data analysis, setting a strong foundation for future studies in science and calculus.

Sep 21st 2026
4 Weeks
Calculus through Data & Modeling: Limits & Derivatives (Coursera) Coursera
Johns Hopkins University

Calculus through Data & Modeling: Limits & Derivatives (Coursera)

Discover the basics of single-variable calculus with 'Calculus through Data & Modeling: Limits & Derivatives' on Coursera. This course introduces you to fundamental concepts like limits and derivatives, essential for understanding how functions change over time. Learn practical applications in modeling and analyzing real-world data, gaining insights into velocity, acceleration, and more.

Sep 21st 2026
5-12 Weeks
Calculus through Data & Modeling: Differentiation Rules (Coursera) Coursera
Johns Hopkins University

Calculus through Data & Modeling: Differentiation Rules (Coursera)

Explore the world of calculus further by delving into the art of differentiation. This comprehensive course, 'Calculus through Data & Modeling: Differentiation Rules', offered on Coursera, will equip you with essential skills in calculating derivatives using established rules, enabling you to analyze rates of change and model real-world scenarios effectively.

Sep 21st 2026
5-12 Weeks