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Autism Spectrum Disorder
by Patricia Schetter- 4.7
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Approx. 6 hours to complete
Understanding the characteristics of autism spectrum disorder (ASD) and their implications for behavior, learning and the ability to process information is critical for anyone working or interacting with those on the spectrum -- educators, clinicians, counselors, therapists, medical staff, family and employers. Course Introduction Introduction How to Qualify for Special Education Services...
Intel® Network Academy - Network Transformation 102
by Intel Network Academy- 4.6
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Approx. 10 hours to complete
Welcome to the Intel® Network Academy – a comprehensive training program on network transformation. Students will also have a chance to learn more about open source standards including DPDK and FD. Introduction to Linux Containers Introduction to Hyperscan Introduction to Single Root I/O Virtualization (SR-IOV) Introduction to Single Root I/O Virtualization (SR-IOV)...
Fundamentals of Parallelism on Intel Architecture
by Andrey Vladimirov- 4.6
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Approx. 15 hours to complete
This course will introduce you to the multiple forms of parallelism found in modern Intel architecture processors and teach you the programming frameworks for handling this parallelism in applications. This course can apply to various HPC and datacenter workloads and framework including artificial intelligence (AI). 5 What You Are Going To Learn Stencil Introduction Integral Introduction...
Think Again II: How to Reason Deductively
by Dr. Walter Sinnott-Armstrong , Dr. Ram Neta- 4.4
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Approx. 13 hours to complete
Students who want more detailed explanations or additional exercises or who want to explore these topics in more depth should consult Understanding Arguments: An Introduction to Informal Logic, Ninth Edition, Concise, Chapters 6 and 7 by Walter Sinnott-Armstrong and Robert Fogelin. Welcome to the Course Introduction to the Specialization Introduction to Deductive Logic...
Doing Clinical Research: Biostatistics with the Wolfram Language
by Juan H Klopper- 4.7
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Approx. 15 hours to complete
This course has a singular and clear aim, to empower you to do statistical tests, ready for incorporation into your dissertations, research papers, and presentations. 01: Introduction to neural networks 02: Introduction to machine learning 09: Introduction to Wolfram Language machine learning 13: Setting the method to neural network Welcome to Module 10...
Statistics with R Capstone
by Merlise A Clyde , Colin Rundel , David Banks , Mine Çetinkaya-Rundel- 4.6
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Approx. 6 hours to complete
The capstone project will be an analysis using R that answers a specific scientific/business question provided by the course team. Welcome to the Statistics with R Capstone course Introduction to the Capstone Course What to Do This Week What to Do This Week What to Do This Week What to Do This Week...
Water Supply and Sanitation Policy in Developing Countries Part 1: Understanding Complex Problems
by Prof Dale Whittington , Dr Duncan Thomas- 4.7
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Approx. 26 hours to complete
Our course explores what can be done to solve the complex problem that half a billion people worldwide do not have improved water supplies and two billion do not have improved sanitation. We look forward to you joining us. Welcome to the course - Introduction 4: An Introduction to Corruption 1: Introduction to Modeling Household Water Demand...
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Unsupervised Learning
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 9 hours to complete
This course introduces you to one of the main types of Machine Learning: Unsupervised Learning. The hands-on section of this course focuses on using best practices for unsupervised learning. Introduction to Unsupervised Learning and K Means Course Introduction Introduction to Unsupervised Learning - Part 1 Introduction to Unsupervised Learning - Part 2 Introduction to Clustering Introduction to Unsupervised Learning...
Unsupervised Machine Learning
by Mark J Grover , Miguel Maldonado- 4.8
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Approx. 9 hours to complete
This course introduces you to one of the main types of Machine Learning: Unsupervised Learning. The hands-on section of this course focuses on using best practices for unsupervised learning. Introduction to Unsupervised Learning and K Means Course Introduction Introduction to Unsupervised Learning - Part 1 Introduction to Unsupervised Learning - Part 2 Introduction to Clustering Introduction to Unsupervised Learning...
Surveillance Systems: Analysis, Dissemination, and Special Systems
by Stefan Baral, MD, MPH, MBA, FRCPC- 4.7
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Approx. 6 hours to complete
We really think that this course will help those with an interest in health surveillance to see which approaches are used in actual practice of public health. Introduction to Course Introduction to Analyses of Surveillance Data Introduction to Dissemination Strategies and Communication Frameworks Introduction to Chronic Disease Surveillance Systems Introduction to Special Surveillance Systems...
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