Search result for Mathematics Online Courses & Certifications
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Mathematics for Computer Science
by Omar Karakchi , Dr Matthew Yee-King- 4.1
Approx. 38 hours to complete
“Welcome to Introduction to Numerical Mathematics. This is designed to give you part of the mathematical foundations needed to work in computer science in any of its strands, from business to visual digital arts, music, games. At any stage of the problem solving and modelling stage you will require numerical and computational tools....
Introduction to Logic
by Michael Genesereth- 4.4
Approx. 54 hours to complete
This course is an introduction to Logic from a computational perspective. It shows how to encode information in the form of logical sentences; it shows how to reason with information in this form; and it provides an overview of logic technology and its applications - in mathematics, science, engineering, business, law, and so forth....
Algebra & Algorithms
by Дмитрий ИльинскийTop Instructor , Alex Dainiak- 0.0
Approx. 30 hours to complete
Algebra is one of the definitive and oldest branches of mathematics, and design of computer algorithms is one of the youngest. Despite this generation gap, the two disciplines beautifully interweave. Secondly, algebraic structures and theorems can help develop algorithms for things having [at first glance] nothing to do with algebra, e....
Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital
by Guillermo Sapiro- 4.7
Approx. 21 hours to complete
In this course, you will learn the science behind how digital images and video are made, altered, stored, and used. The course starts by looking at how the human visual system works and then teaches you about the engineering, mathematics, and computer science that makes digital images work. Finally, we will end with image processing techniques used in medicine....
Discrete Mathematics
by Dominik Scheder- 3.4
Approx. 42 hours to complete
Discrete mathematics forms the mathematical foundation of computer and information science. It is also a fascinating subject in itself. Learners will become familiar with a broad range of mathematical objects like sets, functions, relations, graphs, that are omnipresent in computer science. This course attempts to be rigorous without being overly formal....
Data Science Math Skills
by Daniel Egger , Paul Bendich- 4.5
Approx. 13 hours to complete
Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Topics include:...
Discrete Math and Analyzing Social Graphs
by Владимир Подольский , Ilya V. Schurov , Stepan Kuznetsov- 4.4
Approx. 20 hours to complete
The main goal of this course is to introduce topics in Discrete Mathematics relevant to Data Analysis. We will start with a brief introduction to combinatorics, the branch of mathematics that studies how to count. Basics of this topic are critical for anyone working in Data Analysis or Computer Science. As prerequisites we assume only basic math (e....
Matrix Methods
by Daniel Boley- 4.1
Approx. 7 hours to complete
Mathematical Matrix Methods lie at the root of most methods of machine learning and data analysis of tabular data. Learn the basics of Matrix Methods, including matrix-matrix multiplication, solving linear equations, orthogonality, and best least squares approximation. Discover the Singular Value Decomposition that plays a fundamental role in dimensionality reduction, Principal Component Analysis, and noise reduction....
Precalculus: Relations and Functions
by Joseph W. Cutrone, PhDTop Instructor- 4.6
Approx. 11 hours to complete
This course helps to build the foundational material to use mathematics as a tool to model, understand, and interpret the world around us. This is done through studying functions, their properties, and applications to data analysis. This course is designed for all students, not just those interested in further mathematics courses....
Probability Theory, Statistics and Exploratory Data Analysis
by Ilya V. Schurov- 4.7
Approx. 22 hours to complete
Exploration of Data Science requires certain background in probability and statistics. This course introduces you to the necessary sections of probability theory and statistics, guiding you from the very basics all way up to the level required for jump starting your ascent in Data Science. The core concept of the course is random variable — i....