Search result for Application in material science Online Courses & Certifications
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Big Data, Artificial Intelligence, and Ethics
by Martin Hilbert- 4.6
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Approx. 12 hours to complete
This course gives you context and first-hand experience with the two major catalyzers of the computational science revolution: big data and artificial intelligence. With more than 99% of all mediated information in digital format and with 98% of the world population using digital technology, humanity produces an impressive digital footprint. Ethical Computational Social Science...
AI For Everyone
by Andrew NgTop Instructor- 4.8
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Approx. 7 hours to complete
In this course, you will learn: - The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science - What it feels like to build machine learning and data science projects Workflow of a data science project Building AI In Your Company Taking your first step in AI Survey of major AI application areas (optional)...
Introduction to Environmental Science
by Andrew J. Friedland , Michael Goudzwaard , Justin Richardson , R. Michael Murray- 0.0
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4 Weeks
Introduction to Environmental Science, ENVX, was first offered in early 2015. Environmental science is the study of patterns and processes in the natural world and their modification by human activity. The human population and the ways in which changes in the population affect the environment Biodiversity and global change, which are the integrating units of environmental science...
$50
Six Sigma Advanced Define and Measure Phases
by Christina Scherrer, PhD , Gregory Wiles, PhD , Bill Bailey, PhD- 4.8
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Approx. 15 hours to complete
However, the text is a recognized handbook used by professionals in the field. Also, it is a highly-recommended text for those wishing to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ). The Importance of Teams in Quality Improvement Calculating Possibilities in the Normal Distribution - Recommended Reading...
Semiconductor Fundamentals
by Mark S. Lundstrom- 0.0
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6 Weeks
The material will primarily appeal to electrical engineering students whose interests are in applications of semiconductor devices in circuits and systems. This course material is typically covered in the first few weeks of an introductory semiconductor device course, but this class provides a fresh perspective informed by new understanding of electronics at the nanoscale....
$750
Quantitative Methods
by Annemarie Zand Scholten- 4.7
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Approx. 30 hours to complete
Discover the principles of solid scientific methods in the behavioral and social sciences. Join us and learn to separate sloppy science from solid research! General info - What will I learn in this course? What about ethics in the publication process? Practice Exam 2 - feedback in screencasts Bonus material - presentations on research integrity...
After the Arab Spring – Democratic Aspirations and State Failure
by Dr. Ebrahim Afsah- 4.7
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Approx. 25 hours to complete
” This raises the obvious and renewed question whether there is something inherent in the Arab, and by analogy Muslim, condition that makes them special. Does this condition make this part of the world impervious to generally observable trends towards greater accountability, popular participation in political decision-making, greater generation and fairer division of economic wealth?...
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Astro 101: Black Holes
by Sharon Morsink- 4.8
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Approx. 19 hours to complete
In Astro 101: Black Holes, you will explore the concepts behind black holes. • Compare black holes in popular culture to modern physics to distinguish science fact from science fiction. 05 – Original Version - Stellar Mass Black Holes (Will be deleted in late August) 04 – Information in a Black Hole...
Foundations of Data Science: K-Means Clustering in Python
by Dr Matthew Yee-King , Dr Betty Fyn-Sydney , Dr Jamie A Ward , Dr Larisa Soldatova- 4.6
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Approx. 29 hours to complete
This MOOC, designed by an academic team from Goldsmiths, University of London, will quickly introduce you to the core concepts of Data Science to prepare you for intermediate and advanced Data Science courses. Normalisation in Python – Review Information For Loops in Python Implement in Python the principle steps of the K-means algorithm....
Python and Machine-Learning for Asset Management with Alternative Data Sets
by Gideon OZIK , Sean McOwen- 4.4
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Approx. 19 hours to complete
This course introduces the core concepts around alternative data, the most recent research in this area, as well as practical portfolio examples and actual applications. This course will enable you to learn new data and research techniques applied to the financial markets while strengthening data science and python skills. Material at your disposal...
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