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Learn Algebra online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
316 courses
Harvard University
Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.
Harvard University
A focus on several techniques that are widely used in the analysis of high-dimensional data.
Harvard University
The structure, annotation, normalization, and interpretation of genome scale assays.
Speakers: Gilbert Strang, Alan Edelman, Pavel Grinfeld, Michel Goemans Revered mathematics professor Gilbert Strang capped a 61-year career as a faculty member at MIT by delivering his final 18.06 Linear Algebra lecture before retiring at the age of 88. In addition to a brief review for the course…
Instructor: Gilbert Strang The Help Session Videos were developed by: Martina Balagovic, Linan Chen, Benjamin Harris, Ana Rita Pires, David Shirokoff, Nikola Kamburov View the complete course: http://ocw.mit.edu/18-06SCF11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/te…
Instructor: Prof. Gilbert Strang This is a basic subject on matrix theory and linear algebra. Emphasis is given to topics that will be useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, similarity, and positive definite matrices. *Please note that…
Stanford University
This course is one of five self-paced courses on the topic of Databases, originating as one of Stanford's three inaugural massive open online courses released in the fall of 2011. The original "Databases" courses are now all available on edx.org. This course covers underlying principles and design…
Harvard University
A focus on the techniques commonly used to perform statistical inference on high throughput data.
Harvard University
An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.
Harvard University
Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.
Johns Hopkins University
This course is the second course in the Linear Algebra Specialization. In this course, we continue to develop the techniques and theory to study matrices as special linear transformations (functions) on vectors. In particular, we develop techniques to manipulate matrices algebraically. This will al…
Harvard University
Learn to use R programming to apply linear models to analyze data in life sciences.
University of Chicago
This first course in quantum computing is for novices and requires learners to have only basic algebra. It covers the future impacts of quantum computing, provides intuitive introductions of quantum physics phenomenon, and progresses from single operations to a complete algorithm.
Johns Hopkins University
This is the first course of a three course specialization that introduces the students to the concepts of linear algebra, one of the most important and basic areas of mathematics, with many real-life applications. This foundational material provides both theory and applications for topics in mathem…
Instructor: Gilbert Strang View the complete course: https://ocw.mit.edu/2020-vision YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP61iQEFiWLE21EJCxwmWvvek Professor Strang introduces his updated vision of how to start learning linear algebra, based on matrices. These brief vide…
The University of Texas at Austin
Learn the mathematics behind linear algebra and link it to matrix software development.
A free course offering the core concept of linear algebra with a visuals-first approach.
The University of Texas at Austin
Use R to learn fundamental statistical topics such as descriptive statistics and modeling.
Johns Hopkins University
This is the third and final course in the Linear Algebra Specialization that focuses on the theory and computations that arise from working with orthogonal vectors. This includes the study of orthogonal transformation, orthogonal bases, and orthogonal transformations. The course culminates in the t…
View the complete course: http://ocw.mit.edu/2-087F14 Instructor: Gilbert Strang Introduction to linear algebra and ordinary differential equations (ODEs), including general numerical approaches to solving systems of equations. License: Creative Commons BY-NC-SA More information at http://ocw.mit.e…
