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Introduction to International Criminal Law
by Michael Scharf- 4.8
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Approx. 13 hours to complete
In order to complete the course each student must: (1) finish each module (or “lesson”); (2) write at least one essay response of 200 words or more for at least one simulation throughout the course; and (3) get a score of 6 out of 10 or better on the Final Exam....
Opioid Epidemic: From Evidence to Impact
by Shannon Frattaroli, PhD, MPH- 4.7
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Approx. 7 hours to complete
This course and the report it is based on are a response to that need. Introduction to America's Opioid Epidemic: From Evidence to Impact To Assess Trends To Understand Causes Introduction to Standardizing Clinical Guidelines Introduction to Treating Opioid Use Disorders Introduction to Expanding Harm Reduction Strategies Introduction to Combatting Stigma...
The Science of Success: What Researchers Know that You Should Know
by Paula Caproni- 4.8
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Approx. 11 hours to complete
This engaging course is designed to help you achieve the success that you desire. Although this course is based on the science of success, you will learn many practical ideas that you can apply to your own life immediately, particularly in three main areas: Welcome and Why I Created this Course How to Earn a Course Certificate...
Web of Data
by Catherine Faron Zucker , Fabien Gandon , Olivier Corby- 4.1
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Approx. 18 hours to complete
We divided this course into four parts that cover the core technical skills and competencies you need to master to be able to use the Web as a space for giant structure data exchange: Historical Introduction to the Web Architecture Introduction to week 3 and to-do-list Introduction to week 4 and to-do-list...
Project Initiation and Planning
by Fataneh Taghaboni-Dutta, Ph.D., PMP- 5
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Approx. 22 hours to complete
The course will cover the more traditional linear process, like waterfall approach, as well as the dynamic and iterative approach of agile and hybrid models, so the learners can decide when one approach is more suitable for any of their projects to maximize the chances of a successful outcome! Introduction to Google Jamboard (a Virtual Collaboration Tool)...
Interest Rate Models
by Damir Filipović- 4.5
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Approx. 30 hours to complete
This course gives you an easy introduction to interest rates and related contracts. At the end of this course you will know how to calibrate an interest rate model to market data and how to price interest rate derivatives. Introduction Introduction Course discussions Where to get help Course evaluation & ranking...
Magnetics for Power Electronic Converters
by Dr. Robert Erickson- 4.8
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Approx. 17 hours to complete
This course can also be taken for academic credit as ECEA 5703, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course assumes prior completion of courses 1 and 2: Introduction to Power Electronics, and Converter Circuits. A Brief Introduction to the Course 1 Introduction to the Skin and Proximity Effects...
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European Business Law: Competing in Europe
by Hans Henrik Lidgard , Xavier Groussot , Julian Nowag , Jörgen Hettne , Justin Pierce , Magnus Schmauch , Ulf Maunsbach- 4.7
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Approx. 15 hours to complete
More specifically, the third course discusses how to compete on the internal market and protect your brand, product or invention. To keep up to speed on the course series, visit our Facebook page at: Welcome to the Course Introduction to European Competition Law Introduction to European Competition Law Introduction to Advocacy and Legal writing...
Probability Theory, Statistics and Exploratory Data Analysis
by Ilya V. Schurov- 4.7
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Approx. 22 hours to complete
This course introduces you to the necessary sections of probability theory and statistics, guiding you from the very basics all way up to the level required for jump starting your ascent in Data Science. Introduction to the 1st week Introduction to the 2nd week Introduction to the 5th week Introduction to the 6th week...
Applied Text Mining in Python
by V. G. Vinod Vydiswaran- 4.2
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Approx. 29 hours to complete
This course will introduce the learner to text mining and text manipulation basics. This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python. Introduction to Text Mining Course Syllabus...
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