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Hearing Loss in Children
by Lauren Bohm- 4.9
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Approx. 17 hours to complete
This course addresses gaps currently existing in the health education curriculum for pediatric hearing loss and gives learners the foundational knowledge that can be applied immediately in a broad range of health, educational, and home settings. At the end of the course you will get specific instructions on how to get your free CME....
Development of Real-Time Systems
by Farhoud Hosseinpour- 4.6
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Approx. 19 hours to complete
This course is intended for the Master's student and computer engineer who likes practical programming and problem solving! The course centers around the problem of achieving timing correctness in embedded systems, which means to guarantee that the system reacts within the real-time requirements. The course is actually quite fun! Course Introduction...
3D CAD Application
by 康仕仲- 4.9
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Approx. 9 hours to complete
Do you want to obtain all the necessary skills of a 3D modeler? The “3D CAD Application” course, the second course of the new specialization, is coming! Course FAQs Basis of 3D modeling: Learn basic concept and start modeling 201 Process of 3D modeling 202 Notice of 3D modeling Quiz1: Basic concept of 3D modeling...
Think Again I: How to Understand Arguments
by Dr. Walter Sinnott-Armstrong , Dr. Ram Neta- 4.6
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Approx. 25 hours to complete
The definition of argument will enable you to identify when speakers are giving arguments and when they are not. Course Format: Course Logistics (Start Here) An Example of Reconstruction (Part I) An Example of Reconstruction (Part II) An Example of Reconstruction (Part III) An Example of Reconstruction...
Blockchain and Cryptocurrency Explained
by Robert Dittmar , Andrew Wu- 4.7
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Approx. 9 hours to complete
The sudden rise in the value of Bitcoin and other cryptocurrencies, and its subsequent decline, focused the world’s attention on cryptocurrencies as a means of payment. In this course, we first discuss the technical underpinnings of blockchain and review key concepts such as decentralization and consensus algorithms. Course Introduction End of Module Quiz...
Data Collection and Processing with Python
by Paul Resnick , Jaclyn Cohen- 4.7
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Approx. 16 hours to complete
This course teaches you to fetch and process data from services on the Internet. The course is well-suited for you if you have already taken the "Python Basics" and "Python Functions, Files, and Dictionaries" courses (courses 1 and 2 of the Python 3 Programming Specialization). A Worked Example of Nested Iteration...
Basic Statistics
by Matthijs Rooduijn , Emiel van Loon- 4.6
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Approx. 27 hours to complete
In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. In the first part of the course we will discuss methods of descriptive statistics. 03 The mean of a random variable 04 Variance of a random variable Sampling distribution of sample proportion and example...
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Foundations: Data, Data, Everywhere
by Google Career CertificatesTop Instructor- 4.8
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Approx. 20 hours to complete
This is the first course in the Google Data Analytics Certificate. - Discover a wide variety of terms and concepts relevant to the role of a junior data analyst, such as the data life cycle and the data analysis process. Program description and course syllabus Molly: Example of the data process Congrats! Course wrap-up Self-Reflection: Business use of data...
Introduction to User Experience Design
by Dr. Rosa I. Arriaga- 4.5
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Approx. 6 hours to complete
The focus of this course is to introduce the learner to User Experience (UX) Design The course introduces the novice to a cycle of discovery and evaluation and a set of techniques that meet the user's needs. Focus of this course Syllabus Overview of User Experience Design Features of Good Design...
Bayesian Statistics: Techniques and Models
by Matthew HeinerTop Instructor- 4.8
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Approx. 30 hours to complete
This is the second of a two-course sequence introducing the fundamentals of Bayesian statistics. It builds on the course Bayesian Statistics: From Concept to Data Analysis, which introduces Bayesian methods through use of simple conjugate models. Completion of this course will give you access to a wide range of Bayesian analytical tools, customizable to your data....
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