Udacity

Linear Algebra Refresher Course (Udacity)

Offered by Udacity,
Linear Algebra Refresher Course (Udacity)

A Brief Refresher (with Python!). This mini-course is intended for students who would like a refresher on the basics of linear algebra. The course attempts to provide the motivation for "why" linear algebra is important in addition to "what" linear algebra is.

Class Deals by MOOC List - Click here and see Udacity's Active Discounts, Deals, and Promo Codes.

Students will learn concepts in linear algebra by applying them in computer programs. At the end of the course, you will have coded your own personal library of linear algebra functions that you can use to solve real-world problems.

Why Take This Course
You should take this course if:

  • You want a refresher on the basics of linear algebra or want to learn them for the first time
  • You want to see how linear algebra can be applied to real-world problems.
  • You want to learn linear algebra in the context of programming.

What You Will Learn

LESSON 1
Vectors
Learn the basic operations on vectors (one of the fundamental objects of study in linear algebra).
Code a library of functions to perform operations on vectors that you will use in later lessons.

LESSON 2
Intersections
Learn the geometric and algebraic interpretation of intersections of "flat" objects and how to solve real-world problems.
Write your own algorithm to find the intersections of sets of lines and planes.

Prerequisites and Requirements
The course has no formal prerequisites except experience with some programming language. A familiarity with high-school algebra and trigonometry will also be useful.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Tropical Parasitology: Protozoans, Worms, Vectors and Human Diseases (Coursera) Coursera
Duke University,Kilimanjaro Christian Medical University College

Tropical Parasitology: Protozoans, Worms, Vectors and Human Diseases (Coursera)

Health & Society Medicine & Pharmacology

This course provides students an understanding of important human parasitic diseases, including their life cycles, vectors of transmission, distribution and epidemiology, pathophysiology and clinical manifestations, treatment, and prevention and control. Tropical Parasitology is taught by faculty from an area highly impacted by tropical parasites- the Kilimanjaro Christian Medical University College in Moshi, Tanzania. The faculty include Drs. Frank Mosha and Mramba Nyindo (and two lecturers, Drs. Johnson Matowo and Jovin Kitau). Dr. John Bartlett, Professor of Medicine, Global Health and Nursing at Duke University, joins his faculty colleagues in this effort.

Nov 30th 2026
5-12 Weeks
Health Microbiology Vectors
Details
Statistics (Udacity) Udacity
Udacity,San Jose State University

Statistics (Udacity)

Sci: Mathematics Statistics & Data Analysis

The Science of Decisions. We live in a time of unprecedented access to information...data. Whether researching the best school, job, or relationship, the Internet has thrown open the doors to vast pools of data. Statistics are simply objective and systematic methods for describing and interpreting information so that you may make the most informed decisions about life.

Self Paced
Self-Paced
Math Statistics Probability
Details
Applied Calculus with Python (Coursera) Coursera
Johns Hopkins University

Applied Calculus with Python (Coursera)

Statistics & Data Analysis Data Science

This course is designed for the Python programmer who wants to develop the foundations of Calculus to help solve challenging problems as well as the student of mathematics looking to learn the theory and numerical techniques of applied calculus implemented in Python. By the end of this course, you will have learned how to apply essential calculus concepts to develop robust Python applications that solve a variety of real-world challenges.

Nov 23rd 2026
5-12 Weeks
Calculus Programming Python
Details
Machine Learning (Coursera) Coursera
Stanford University

Machine Learning (Coursera)

Statistics & Data Analysis Data Science

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems.

Nov 16th 2026
5-12 Weeks
Artificial Intelligence MATLAB Algorithms
Details
Differential Equations Part II Series Solutions (Coursera) Coursera
Korea Advanced Institute of Science and Technology - KAIST

Differential Equations Part II Series Solutions (Coursera)

Sci: Mathematics

This introductory courses on (Ordinary) Differential Equations are mainly for the people, who need differential equations mostly for the practical use in their own fields. So we try to provide basic terminologies, concepts, and methods of solving various types of differential equations as well as a rudimentary but indispensable knowledge of the underlying theory and some related applications.

Nov 23rd 2026
5-12 Weeks
Math Differential Equations Mathematics
Details
Fibonacci Numbers and the Golden Ratio (Coursera) Coursera
The Hong Kong University of Science and Technology - HKUST

Fibonacci Numbers and the Golden Ratio (Coursera)

Sci: Mathematics

Learn the mathematics behind the Fibonacci numbers, the golden ratio, and how they are related. These topics are not usually taught in a typical math curriculum, yet contain many fascinating results that are still accessible to an advanced high school student. The course culminates in an explanation of why the Fibonacci numbers appear unexpectedly in nature, such as the number of spirals in the head of a sunflower.

Nov 23rd 2026
3 Weeks
Math Fractions Elementary Grades
Details
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)

Statistics & Data Analysis Data Science

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.

Nov 23rd 2026
4 Weeks
Algebra Linear Algebra Data Science
Details
Introduction to Calculus (Coursera) Coursera
The University of Sydney

Introduction to Calculus (Coursera)

Sci: Mathematics

The focus and themes of the Introduction to Calculus course address the most important foundations for applications of mathematics in science, engineering and commerce. The course emphasises the key ideas and historical motivation for calculus, while at the same time striking a balance between theory and application, leading to a mastery of key threshold concepts in foundational mathematics.

Nov 30th 2026
5-12 Weeks
Math Calculus Logic
Details
Calculus: Single Variable Part 3 - Integration (Coursera) Coursera
University of Pennsylvania

Calculus: Single Variable Part 3 - Integration (Coursera)

Sci: Mathematics

Calculus is one of the grandest achievements of human thought, explaining everything from planetary orbits to the optimal size of a city to the periodicity of a heartbeat. This brisk course covers the core ideas of single-variable Calculus with emphases on conceptual understanding and applications. The course is ideal for students beginning in the engineering, physical, and social sciences.

Nov 23rd 2026
4 Weeks
Math Calculus Differential Equations
Details