Search result for Master of science in 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
Taking this course could be the start of your career in computer science, and the course is an introduction to the Bachelors in Computer Science from University of London, but it is also for you if you just want to learn a little computer science to help you better understand the computers you use in your ordinary life....
Introduction to Genomic Technologies
by Steven Salzberg, PhD , Jeff Leek, PhD- 4.6
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Approx. 6 hours to complete
You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed. This is the first course in the Genomic Data Science Specialization. Applications of Sequencing Data Science Technology Quiz 4: Data Science Technology...
Computational Social Science Methods
by Martin Hilbert- 4.7
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Approx. 11 hours to complete
All of them study human behavior in order to shape it. In short, all of them do social science by computational means. In this last part, we take a bird’s-eye view on four main applications of CSS. Computational Social Science (CSS) A Very Short History of Science A Very Simplistic Hierarchy of Science Example of Computational Social Science: Data 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 With over 4000 students enrolled and 500+ 5 star reviews to date in the area of computer science, my computer science courses are enjoyed by students from 101 countries. Are you aiming to get a degree in the area of computer science as a topper ?...
$13.99
Teaching Impacts of Technology: Relationships
by Beth Simon- 0.0
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Approx. 11 hours to complete
In terms of CSTA K-12 computer science standards, we’ll primarily cover learning objectives within the “impacts of computing” concept, while also including some within the “networks and the Internet” concepts and the “data and analysis” concept. This is part of a specialization K-12 CSTA Computer Science Standards Before Standards: The K-12 Computer Science Framework...
Ubiquitous Learning and Instructional Technologies
by Dr William Cope , Dr Mary Kalantzis- 4.5
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Approx. 14 hours to complete
Areas addressed include: learning management systems, intelligent tutors, computer adaptive testing, gamification, simulations, learning in and through social media and peer interaction, universal design for learning, differentiated instruction systems, big data and learning analytics, attention monitoring, and affect-aware systems. The Not-So-New School: Individualization in Computer Adaptive Learning Computer Science Teaching Practices...
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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Machine Learning Interview Preparation
by Arpan Chakraborty , Brynn Claypoole , Horatio Thomas- 0.0
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Approx. 1 week
In this course, you'll learn to approach an interview as a showcase, not as a test. Finally, you'll practice what you've learned in mock interviews. In this course, you’ll learn exactly what to expect during a machine learning interview....
Free
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. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics....
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 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. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics....
