This dynamic 4-hour course is designed to demystify the complexities of data communication networks. It provides a comprehensive walkthrough of the concepts, structures, and mechanisms that enable digital communication across different platforms and devices. This course will help you understand what is taking place each and every time you use your computer, phone or device!
Data Communication Networks
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
7 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Identify the various components and their roles within a data communication network.
Distinguish among the major types of network topologies.
Assess the functions of key network protocols.
Formulate basic strategies for securing a data network.
Skills you'll gain
Details to know
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Recently updated!
August 2024
Assessments
4 assignments
Taught in English
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There are 4 modules in this course
Module 1 provides an essential overview of data networking, examining the core components, topological structures, protocols, and fundamental network security concepts. Through a series of informative videos, learners will gain a foundational understanding of how modern communication systems are built and secured.
What's included
14 videos5 readings1 assignment4 discussion prompts
Module 2 delves into advanced network security, virtualization, and cloud networking principles. Participants will explore sophisticated security mechanisms, the virtualization of network functions, and the design considerations for cloud-based network environments.
What's included
10 videos3 readings1 assignment3 discussion prompts
Module 3 focuses on the principles and practices of network design and management. Participants will gain insights into routing protocol selection, Quality of Service (QoS) configuration, network monitoring tools, and disaster recovery planning to ensure efficient, reliable, and resilient network operations.
What's included
10 videos3 readings1 assignment3 discussion prompts
Module 4 explores the integration of emerging technologies into modern networks, including IoT, edge computing, and the application of AI and ML for network optimization and automation, highlighting the latest trends, challenges, and solutions.
What's included
11 videos3 readings1 assignment3 discussion prompts
Instructor
Offered by
Recommended if you're interested in Data Analysis
Johns Hopkins University
Johns Hopkins University
University of Colorado Boulder
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.