Search result for Master of science in computational science Online Courses & Certifications
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Computational Social Science Methods
by Martin Hilbert- 4.7
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Approx. 11 hours to complete
This course gives you an overview of the current opportunities and the omnipresent reach of computational social science. In short, all of them do social science by computational means. Why Computational Social Science (CSS) now? Computational Social Science (CSS) A Very Short History of Science A Very Simplistic Hierarchy of Science Example of Computational Social Science: Data Science...
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...
Materials Data Sciences and Informatics
by Dr. Surya Kalidindi- 4.5
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Approx. 9 hours to complete
This course aims to provide a succinct overview of the emerging discipline of Materials Informatics at the intersection of materials science, computational science, and information science. Materials Knowledge and Materials Data Science Role of Structures in PSP Linkages Data Science Terminology Main Components of Data Science Materials Knowledge and Materials Data Science...
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....
Principles, Statistical and Computational Tools for Reproducible Data Science
by Curtis Huttenhower , John Quackenbush , Lorenzo Trippa , Christine Choirat- 0.0
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8 Weeks
The course content will blend video lectures, case studies, peer-to-peer engagements and use of computational tools and platforms (such as R/RStudio, and Git/Github), culminating in a final presentation of a final reproducible research project. Understand a series of concepts, thought patterns, analysis paradigms, and computational and statistical tools, that together support data science and reproducible research....
$99
Convex Optimization
by Stephen Boyd , Henryk Blasinski- 0.0
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8 Weeks
Candidate in Computer Science at Stanford University. , summa cum laude, in Mathematics and Computer Science from the University of Pennsylvania and an M. in Computer Science from Stanford University. Ernest Ryu is a PhD candidate in Computational and Mathematical Engineering at Stanford University. Madeleine Udell is a PhD candidate in Computational and Mathematical Engineering at Stanford University....
Convex Optimization
by Stephen Boyd , Henryk Blasinski- 0.0
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8 Weeks
Candidate in Computer Science at Stanford University. , summa cum laude, in Mathematics and Computer Science from the University of Pennsylvania and an M. in Computer Science from Stanford University. Ernest Ryu is a PhD candidate in Computational and Mathematical Engineering at Stanford University. Madeleine Udell is a PhD candidate in Computational and Mathematical Engineering at Stanford University....
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Computational Social Science Capstone Project
by Martin Hilbert- 4.7
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Approx. 14 hours to complete
CONGRATULATIONS! Not only did you accomplish to finish our intellectual tour de force, but, by now, you also already have all required skills to execute a comprehensive multi-method workflow of computational social science. The result is the first glimpse at a new way of doing social science in a digital age: computational social science....
Problem Solving, Python Programming, and Video Games
by Duane Szafron , Paul Lu- 4.2
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Approx. 78 hours to complete
This course is an introduction to computer science and programming in Python. The Python programming language and video games are used to demonstrate computer science concepts in a concrete and fun manner. However, a learner can take the knowledge and skills from this course and apply them to non-game problems, other programming languages, and other computer science courses....
Introduction to Portfolio Construction and Analysis with Python
by Vijay Vaidyanathan, PhD , Lionel Martellini, PhD- 4.8
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Approx. 24 hours to complete
The practice of investment management has been transformed in recent years by computational methods. This course is the first in a four course specialization in Data Science and Machine Learning in Asset Management but can be taken independently. We'll cover some of the most popular practical techniques in modern, state of the art investment management and portfolio construction....
