Search result for Application in material science Online Courses & Certifications
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Everyday Excel, Part 1
by Charlie NuttelmanTop Instructor- 4.7
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Approx. 24 hours to complete
This course is unique in that the weekly assignments are completed in-application (i. , on your own computer in Excel), providing you with valuable hands-on training. Scatter plots in Excel, Part 1 Scatter plots in Excel, Part 2 Column and pie charts in Excel Sharing worksheets and charts in Word and PowerPoint...
International Nuclear Law: Advanced Concepts
by Olga Moiseeva- 0.0
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Approx. 10 hours to complete
Transportation of nuclear and radioactive material IAEA regulations for the safe transport of radioactive material Transportation of nuclear and radioactive material...
Spatial Data Science and Applications
by Joon Heo- 4.4
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Approx. 12 hours to complete
This course will start with defining spatial data science and answering why spatial is special from three different perspectives - business, technology, and data in the first week. 1 Introduction to Spatial Data Science Understanding Spatial Data Science Solution Structures of Spatial Data Science Problems Practical Application of Spatial Data Science...
A Scientific Approach to Innovation Management
by Alfonso Gambardella , Arnaldo Camuffo , Chiara Spina- 4.6
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Approx. 14 hours to complete
In this course, we lay out a systematic process to make strategic decisions about innovative product or services that will help entrepreneurs, managers and innovators to avoid common pitfalls. Type I and type II errors in innovation decisions Background material (extended slides) The Scientific Approach: summary and its use in practice...
Planning a Patient Safety or Quality Improvement Project (Patient Safety III)
by Bob Hody- 4.8
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Approx. 6 hours to complete
Further in that same module, the student is shown tools to identify problems in flow, defects, and waste and to discover causes, brainstorm, and prioritize interventions. Improving Physical Flow In Processes Getting the Science Right Advantages of Learn and Application Theory and Application of Define Application of Brainstorming...
Global Warming II: Create Your Own Models in Python
by David Archer- 4.2
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Approx. 32 hours to complete
This class provides a series of Python programming exercises intended to explore the use of numerical modeling in the Earth system and climate sciences. The scientific background for these models is presented in a companion class, Global Warming I: The Science and Modeling of Climate Change. Tips for Solving in a Spreadsheet...
Science of Exercise
by Robert Mazzeo, Ph.D.- 4.8
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Approx. 10 hours to complete
Learners who complete Science of Exercise will have an improved physiological understanding of how your body responds to exercise, and will be able to identify behaviors, choices, and environments that impact your health and training. Introduction to Exercise Science Application Assignment: Predicting VO2max Application Assignment: Nutritional Calculator Exercise in Health, Wellness and Disease...
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Organs Functionalities (What Western Medicine does not know)
by Andrew Wong- 4.6
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3 hours on-demand video
This is what we will discuss in this video course. In this course, we also agree that the application of Science and Technology in Western medicine today is very developed and advanced. To make an analogy, I have a heavy object in my hand. But if I am in space, this object just stays in place....
$12.99
Internet of Things: Communication Technologies
by Ganz Chockalingam , Harinath Garudadri- 4.6
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Approx. 6 hours to complete
In this course, you will learn how VoIP systems like Skype work and implement your own app for voice calls and text messages. Next, you will learn how voice codecs such as Adaptive Multi Rate (AMR) are used in 3G networks and use them for voice traffic in your app. VOIP in a Nutshell...
Advanced R Programming
by Roger D. Peng, PhD , Brooke Anderson- 4.3
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Approx. 18 hours to complete
This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. You will also be able to define new data types in R and to develop a universe of functionality specific to those data types to enable cleaner execution of data science tasks and stronger reusability within a team....
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