Search result for Master of computer science Online Courses & Certifications
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How Computers Work
by Dr Marco Gillies- 4.6
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Approx. 10 hours to complete
Computer Science is the science of computers, it is the field of knowledge that experts use to understand computer systems. Knowing a little computer science will help you understand the computers all around you. 1 What is computer science and how can it help us? 1 The deep secret of computer science...
Computer Architecture & Organization Part 1 : Cache Memory
by Vignesh Sekar- 4.5
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10.5 hours on-demand video
Master Computer Architecture and Organization as it forms the core of computer science Are you aiming to get a degree in the area of computer science as a topper ? The reality is that there is a lot of computer science courses out there. The second reason is you get a mentor for computer science through this course....
$13.99
Computational Social Science Methods
by Martin Hilbert- 4.7
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Approx. 11 hours to complete
In short, all of them do social science by computational means. Smaldino, from UC Merced, explains how computer simulation help us to untangle some of the mysteries of social emergence. A Very Short History of Science A Very Simplistic Hierarchy of Science Example of Computational Social Science: Data Science Examples of CSS: Social Networks and Computer Simulations...
Introduction to Genomic Technologies
by Steven Salzberg, PhD , Jeff Leek, PhD- 4.6
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Approx. 6 hours to complete
This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. We'll introduce the Central Dogma of Molecular Biology and cover how next-generation sequencing can be used to measure DNA, RNA, and epigenetic patterns. Applications of Sequencing What Is Computer Science?...
Foundations of Computer Science
by Aspen Olmsted- 4.8
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Approx. 16 hours to complete
In the first course in the sequence we will provide you with a solid foundation in the computer science topics that are important to understand when programming Visual Basic. Algorithms, History of Computing and Algorithm Efficiency Definition of an Algorithm Develop computer programs that utilize collections of variables to solve business and mathematical problems...
Discrete Mathematics
by Miran Fattah- 4.5
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19 hours on-demand video
Master Discrete Math for Computer Science and Mathematics Students The goal of this course is to build the mathematical foundation for computer science courses such as data structures, algorithms, relational and database theory, and for mathematics courses such as linear and abstract algebra, combinatorics, probability, logic and set theory, and number theory....
$21.99
Algorithms for Searching, Sorting, and Indexing
by Sriram Sankaranarayanan- 4.6
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Approx. 34 hours to complete
Algorithms for Searching, Sorting, and Indexing can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others....
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Managing, Describing, and Analyzing Data
by Wendy Martin- 4.4
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Approx. 17 hours to complete
This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. Types of Data and Measurement Scales...
Complete Linear Algebra for Data Science & Machine Learning
by Kashif Altaf- 4.5
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18 hours on-demand video
Linear Algebra for Data Science, Big Data, Machine Learning, Engineering & Computer Science. Master Linear Algebra · Solving systems of equations using matrices & inverse matrices, including Cramer’s rule to solve AX = B I needed to get a better understanding and a good base of Linear Algebra for Data Science and Machine Learning and Kashif absolutely delivered....
$17.99
Introduction to High-Performance and Parallel Computing
by Shelley Knuth , Thomas Hauser- 3.4
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Approx. 18 hours to complete
This course introduces the fundamentals of high-performance and parallel computing. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others....
