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Scholarly Communication
by Elena Bazanova- 4.6
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Approx. 23 hours to complete
Scholarly Communication is a concise but comprehensive course on how to write research papers in English. They will also gain a deeper understanding of how to prepare a scientific paper using the IMRAD format. Finally, the candidates will develop an enhanced understanding of the concept of academic integrity and the ethics of scientific writing....
Industrial Biotechnology
by Prof. Nicholas Turner , Prof. Nigel Scrutton- 4.7
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Approx. 11 hours to complete
They provide the raw material for the manufacture of many everyday products that we take for granted, including pharmaceuticals, food and drink, materials, plastics and personal care. By the end of this course you will be able to: Have an informed discussion of the key enabling technologies underpinning research in industrial biotechnology...
Foundational Skills for Communicating About Health
by Brian Zikmund-Fisher- 4.7
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Approx. 14 hours to complete
Content is relevant to public health professionals, clinicians of all types (medical, nursing, dentists, social work, etc. Introductory Story of Science exercise The Importance of Message Prioritization A Note About The Next Set Of Items Power of Stories Other Examples of ABT Create ABT x 2 from provided research paper...
Healing with the Arts
by Mary Rockwood Lane, PhD, RN, FAAN , Michael Samuels, MD- 4.6
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Approx. 13 hours to complete
The Eyes of an Artist Student Example with Chelsea Dance of Liberation Embodiment of Movement Power of Words Physiology of Art and Healing with Michael Arts and Medicine Research Healing with Dance Research...
Convolutional Neural Networks
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.9
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Approx. 35 hours to complete
In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved and become familiar with its exciting applications such as autonomous driving, face recognition, reading radiology images, and more. One Layer of a Convolutional Network Simple Convolutional Network Example CNN Example Simple Convolutional Network Example *CORRECTION*...
2020 Complete Pyomo Bootcamp: Python Optimization Beginners
by Optimization Team- 4.3
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4 hours on-demand video
Join your 18000 fellow researchers and experts in operation research industry in learning the fundamentals of the optimal decision making and optimization. Yes, for example : optimal design of chemical systems, optimal operation of chemical units, pooling-blending, optimal control of a process and etc. Yes, for example : optimal operation and planning of power plants, optimal power flow and etc....
$11.99
Introduction to Statistics & Data Analysis in Public Health
by Alex Bottle- 4.7
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Approx. 16 hours to complete
It's hands-on, so you'll first learn about how to phrase a testable hypothesis via examples of medical research as reported by the media. No knowledge of R or programming is assumed. The Role of Sampling in Public Health Research Defend the critical role of statistics in modern public health research and practice...
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Creative Writing: The Craft of Setting and Description
by Amity Gaige- 4.7
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Approx. 7 hours to complete
In this course aspiring writers will be introduced to the techniques that masters of fiction use to ground a story in a concrete world. "The Power of Persuasion" by Mario Vargas Llosa "The Odour of Chrysanthemums" by D. Text of "How to Write About Africa" by Binyavanga Wainaina Three Phases of Research...
Successful Interviewing
by Charles Duquette , Daniela C. Wagner-Loera- 4.6
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Approx. 20 hours to complete
The goal of hiring managers is not just to hire people who need a job. This course can be thought of as "Interviewing I", while course #3 is "Interviewing II. Do thorough research on a company of your choice. Adapt your nonverbal communication style to the expectations of English-speaking interviewers. When, Where and Why of Research...
Data Analysis Tools
by Jen Rose , Lisa Dierker- 4.5
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Approx. 10 hours to complete
You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or Python), you will explore ANOVA, Chi-Square, and Pearson correlation analysis. Example: Running an analysis of variance...
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