EdX

Business Considerations for Edge Computing (edX)

Business Considerations for Edge Computing (edX)

Edge Computing utilizes real-time processing and data analysis at the edge of the network - nearest the device or user - in order to enable digital transformation and power new technologies. From cars that drive themselves to robots that restock the warehouse and sensors that know when it’s time to water or fertilize crops, our world is changing right before our eyes. This is digital transformation and it includes the convergence of 5G, IoT, AI, machine learning and the Edge.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

Edge Computing is part of the decentralized model of computing that focuses on real-time processing and analysis of data near the edge of the network, or nearest the device or user. It is considered the most significant enterprise trend since Cloud Computing.
In this course you will learn about what Edge Computing is, what problems it’s solving and how it is supporting the rise of 5G, AI and IoT. We’ll review the data privacy and security considerations and share examples of where we see business innovation with Edge. We’ll also review the influencers and open source projects that are defining the future of Edge and the hybrid computing world.

What you'll learn

  • What Edge Computing is and what is driving its adoption
  • How Edge Computing enables the digital business transformation and 5G
  • What are the data and privacy considerations for deploying Edge Computing networks
  • Understand what Edge Computing makes possible in business
  • Know the influencers and open source projects that are defining the future of Edge and the distributed computing world

Syllabus

  • Welcome
  • Ch1. Edge Computing Overview

-Ch 2. How 5G is Driving Edge Adoption

  • Ch 3. Edge Privacy and Security
  • Ch 4. Edge in the Wild: Use Cases
  • Ch 5. Influencers and Open Source Projects
  • Final Exam (Verified Track only)
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Excel for Everyone: Core Foundations (edX) EdX
The University of British Columbia,UBCx

Excel for Everyone: Core Foundations (edX)

Learn Excel fundamentals including data wrangling, spreadsheet management, and basic data analysis. This introductory Excel course will equip you with a strong foundational knowledge of Excel to organize, analyze and work with data. You will develop essential Excel skills, such as simple data wrangling and managing spreadsheets, along with a foundational understanding of business data analysis.

Self Paced
Self-Paced
Data Science: Inference and Modeling (edX) EdX
HarvardX,Harvard University

Data Science: Inference and Modeling (edX)

Learn inference and modeling, two of the most widely used statistical tools in data analysis. Statistical inference and modeling are indispensable for analyzing data affected by chance, and thus essential for data scientists. In this course, you will learn these key concepts through a motivating case study on election forecasting.

Self Paced
Self-Paced
Datos para la efectividad de las políticas públicas (edX) EdX
Inter-American Development Bank - IDB,IDBx

Datos para la efectividad de las políticas públicas (edX)

Este curso te ayudará a tomar el control de los datos y familiarizarte con las herramientas para utilizarlos en la planificación, gestión y evaluación de políticas publicas. En esta era de la información, los datos están disponibles en todos lados y crecen a una tasa exponencial. ¿Cómo podemos darles sentido a todos los datos y aprovecharlos en el momento de tomar decisiones?, ¿cómo los utilizamos para que nos ayuden a guiar la gestión y planificación de nuestras políticas? Tanto si eres ciudadano como planificador de políticas, deberías poder responder a estas preguntas.

Self Paced
Self-Paced
High-Dimensional Data Analysis (edX) EdX
HarvardX,Harvard University

High-Dimensional Data Analysis (edX)

A focus on several techniques that are widely used in the analysis of high-dimensional data. If you’re interested in data analysis and interpretation, then this is the data science course for you. We start by learning the mathematical definition of distance and use this to motivate the use of the singular value decomposition (SVD) for dimension reduction and multi-dimensional scaling and its connection to principle component analysis.

Self Paced
Self-Paced
MATLAB Essentials (edX) EdX
MathWorks

MATLAB Essentials (edX)

Master the essentials of data visualization, data analysis, programming, and app design interactively with MATLAB. Expand your data analysis and modeling skills in MATLAB, a programming and numeric computing platform used to analyze data, develop algorithms, and create models. Millions of engineers and scientists worldwide use MATLAB to study and build advanced applications in machine learning, deep learning, signal processing, communications, image processing, and control systems.

Self Paced
Self-Paced
Case Studies in Functional Genomics (edX) EdX
HarvardX,Harvard University

Case Studies in Functional Genomics (edX)

Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor. We will explain how to perform the standard processing and normalization steps, starting with raw data, to get to the point where one can investigate relevant biological questions.

Self Paced
Self-Paced
RShiny for Everyone (edX) EdX
Davidson College,DavidsonX

RShiny for Everyone (edX)

Use R’s Shiny package to create data-driven, interactive web applications. In this course, you will use R Shiny to create an interactive web application that highlights the biodiversity of America’s National Parks. Your application will feature an interactive map, biodiversity calculator, trail journal and species images. Using R Shiny, you will expand your data analysis and visualization skills while developing your workflow through web application deployment.

Self Paced
Self-Paced
Estadística Aplicada a los Negocios (edX) EdX
Galileo University,GalileoX

Estadística Aplicada a los Negocios (edX)

Aprende las principales herramientas y técnicas de la estadística descriptiva y la estadística inferencial para analizar e interpretar datos desde la perspectiva de negocios facilitando la toma de decisiones. Este curso proporciona una introducción al análisis de datos en base a las principales herramientas estadísticas, enfocándose en la estadística descriptiva y la estadística inferencial.

Self Paced
Self-Paced
Data Science: R Basics (edX) EdX
HarvardX,Harvard University

Data Science: R Basics (edX)

Build a foundation in R and learn how to wrangle, analyze, and visualize data. This course will introduce you to the basics of R programming. You can better retain R when you learn it to solve a specific problem, so you’ll use a real-world dataset about crime in the United States. You will learn the R skills needed to answer essential questions about differences in crime across the different states.

Self Paced
Self-Paced
Advanced Statistical Inference and Modelling Using R (edX) EdX
University of Canterbury,UCx

Advanced Statistical Inference and Modelling Using R (edX)

Extend your knowledge of linear regression to the situations where the response variable is binary, a count, or categorical as well as to hierarchical experimental set-up. Advanced Statistical Inference and Modelling Using R is part two of the Statistical Analysis in R professional certificate. This course is directed at people who are already familiar with basic linear regression and fundamentals of statistical inference. It extends the knowledge of linear regression to the situations where the response variable is binary, a count, or categorical as well as to hierarchical experimental set-up.

Self Paced
Self-Paced
Programming for Data Science (edX) EdX
University of Adelaide,AdelaideX

Programming for Data Science (edX)

Learn how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems. There is a rising demand for people with the skills to work with Big Data sets and this course can start you on your journey through our Big Data MicroMasters program towards a recognised credential in this highly competitive area. Using practical activities you will learn how digital technologies work and will develop your coding skills through engaging and collaborative assignments.

Self Paced
Self-Paced