Search result for Examples of asynchronous learning Online Courses & Certifications
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New Models of Business in Society
by R. Edward Freeman- 4.7
Approx. 5 hours to complete
In this course, developed at the Darden School of Business at the University of Virginia and taught by top-ranked faculty, we will be discussing the emergence of a new story about business. The Shades of Green Argument The Challenges of Environmentalism Corporate Responsibility, Philanthropy and Building Sustainable Value: The Role of Capitalism in Society Examples of Creating Value for Stakeholders...
Practical Predictive Analytics: Models and Methods
by Bill Howe- 4.1
Approx. 7 hours to complete
Statistical experiment design and analytics are at the heart of data science. Collectively, this course will help you internalize a core set of practical and effective machine learning methods and concepts, and apply them to solve some real world problems. Explain and apply a set of unsupervised learning concepts and methods Structure of a Machine Learning Problem...
Summary Statistics in Public Health
by John McGready, PhD, MS- 4.8
Approx. 15 hours to complete
Biostatistics is the application of statistical reasoning to the life sciences, and it is the key to unlocking the data gathered by researchers and the evidence presented in the scientific literature. In this course, we'll focus on the use of statistical measurement methods within the world of public health research. Additional Examples...
Providing Social, Emotional, Behavioral, and Special Education Services in School
by Eve Kutchman , Lauren Welch , Karen Hecker , Daniel Nicklas- 4.8
Approx. 12 hours to complete
In this course, you will learn about how social-emotional skills, mental health, and learning are related. We will focus on how schools can support social-emotional learning and promote mental health for all students. Overview of Health and Learning Mental Health and Learning Multi-Tiered Systems of Support (MTSS) Mental Health and Learning Health and Learning Assessment...
Data Science Fundamentals for Data Analysts
by Emma Freeman , Mark Roepke- 0.0
Approx. 19 hours to complete
In this course we're going to guide you through the fundamental building blocks of data science, one of the fastest-growing fields in the world! Examples of Data Science Basics of Machine Learning A Review of Supervised Learning and Regression A Review of Problem Framing Machine Learning Solutions Discussion Intro A Review of the Data Science Process...
Shifting Your Teaching Online
by Xinjie Yu- 0.0
10 Weeks
Through learning this course, teachers who are carrying out or planning to carry out online teaching can further feel the characteristics of online teaching, learn from online teaching experience, master more teaching methods, and enhance the confidence of online teaching. This course is a training course of online teaching for university teachers all over the world....
$139
Node.js Tutorial For Absolute Beginners
by Yogesh Patel- 4.3
5 hours on-demand video
You'll learn how asynchronous code works in Node and the Node event loop, as well as how to use the event emitter, streams, buffers, pipes, and work with files. During it all you'll gain a deep understanding of the JavaScript concepts and other computer science concepts that power Node....
$12.99
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Cryptography: Boolean functions and related problems
by Kutsenko Aleksandr , Anastasiya Gorodilova , Natalia Tokareva , Stjepan Picek , George Pintus- 4.3
Approx. 5 hours to complete
The course invites you to learn more about cryptography; you'll learn some important math which stands behind the ciphers, and defines how resistant the particular cipher will be to different types of attacks. The beginning of the Russian cryptography Machine learning and side-channel attack Algebraic normal form of a bent function Examples of using...
Specialized Models: Time Series and Survival Analysis
by Mark J Grover , Miguel Maldonado- 4.5
Approx. 11 hours to complete
This course introduces you to additional topics in Machine Learning that complement essential tasks, including forecasting and analyzing censored data. The hands-on section of this course focuses on using best practices and verifying assumptions derived from Statistical Learning. Identify types of problems suitable for survival analysis End of Module Quiz Nonstationarity Examples...
Managing Machine Learning Projects with Google Cloud
by Google Cloud Training- 4.6
Approx. 14 hours to complete
Business professionals in non-technical roles have a unique opportunity to lead or influence machine learning projects. If you have questions about machine learning and want to understand how to use it, without the technical jargon, this course is for you. AI vs ML vs Deep Learning Practice assessing the feasibility of ML use cases...