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Introduction to AWS IoT Analytics

AWS

This course is an introduction to AWS IoT Analytics, a fully-managed service which allows you to run sophisticated analytics on massive volumes of IoT data.

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This course is an introduction to AWS IoT Analytics, a fully-managed service which allows you to run sophisticated analytics on massive volumes of IoT data.

This course is an introduction to AWS IoT Analytics, a fully-managed service which allows you to run sophisticated analytics on massive volumes of IoT data. In this course, we look at the key components of AWS IoT analytics, an overview of the deployment architecture, and some use cases. We also have a demo for you to see AWS IoT Analytics in action.

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What's inside

Syllabus

Introduction to AWS IoT Analytics

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Examines internet of things (IoT) analytics, which is highly relevant to data science, big data, and cloud computing
Develops skills that can be used for professional growth and development
Taught by AWS, who are recognized for their work in cloud computing and IoT

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to AWS IoT Analytics with these activities:
Review AWS basics
Review the basics of AWS to ensure a solid foundation before starting the course.
Browse courses on AWS
Show steps
  • Read the AWS documentation: https://docs.aws.amazon.com/AmazonS3/latest/dev/Welcome.html
  • Take an online AWS course: https://aws.amazon.com/training/
  • Set up an AWS account and explore the console: https://aws.amazon.com/console/
Form a Study Group for AWS IoT Analytics
Collaborate with fellow learners to discuss course concepts, share insights, and provide mutual support in understanding AWS IoT Analytics.
Browse courses on Collaborative Learning
Show steps
  • Find or create a study group with other learners
  • Set up regular study sessions
  • Discuss course materials, ask questions, and share resources
Review AWS IoT Core Concepts
Review key concepts of AWS IoT Core to strengthen your understanding of the fundamentals of IoT and prepare for the upcoming course.
Browse courses on AWS IoT Core
Show steps
  • Read documentation on AWS IoT Core website
  • Explore the AWS IoT Core console
  • Watch online tutorials on AWS IoT Core
Six other activities
Expand to see all activities and additional details
Show all nine activities
Connect with AWS IoT Analytics Community
Engage with the AWS IoT Analytics community to learn from others, share experiences, and stay updated on the latest trends and advancements.
Show steps
  • Join the AWS IoT Analytics community forum
  • Participate in online discussions and webinars
  • Attend local AWS user group meetups focused on IoT Analytics
Follow AWS IoT Analytics tutorials
Enhance your understanding of AWS IoT Analytics by following guided tutorials provided by AWS.
Browse courses on AWS IoT Analytics
Show steps
  • Visit the AWS IoT Analytics tutorial page: https://docs.aws.amazon.com/iot-analytics/latest/userguide/tutorial-intro.html
  • Choose a tutorial and follow the instructions: https://docs.aws.amazon.com/iot-analytics/latest/userguide/getting-started-tutorials.html
  • Experiment with the code and data provided in the tutorials
Data Transformation with SQL for IoT Analytics
Practice data transformation skills using SQL to prepare for working with IoT data in AWS IoT Analytics.
Browse courses on Data Transformation
Show steps
  • Set up a SQL environment
  • Import sample IoT data
  • Perform data transformations using SQL
Build a Dashboard for IoT Analytics
Follow a guided tutorial to build a dashboard for visualizing and analyzing IoT data in AWS IoT Analytics.
Browse courses on Data Visualization
Show steps
  • Set up an AWS IoT Analytics account
  • Create a data pipeline
  • Build a dashboard using AWS IoT Analytics dashboard builder
Build a simple data pipeline using AWS IoT Analytics
Apply your knowledge by building a practical data pipeline using AWS IoT Analytics, solidifying your understanding of the concepts.
Show steps
  • Design a simple data pipeline that meets a specific use case
  • Create an AWS IoT Analytics channel and dataset
  • Write SQL queries to analyze the data
  • Visualize the results using a dashboard
Design an IoT Analytics Solution for a Use Case
Develop a solution design for an IoT Analytics use case to demonstrate your understanding of the concepts and capabilities of AWS IoT Analytics.
Show steps
  • Identify a specific IoT use case
  • Design the IoT architecture
  • Define the data pipeline and analytics requirements

Career center

Learners who complete Introduction to AWS IoT Analytics will develop knowledge and skills that may be useful to these careers:
IoT Solutions Architect
An IoT solutions architect works to design and implement IoT systems. They must understand the needs of the business and the technical requirements of the system. This course can help IoT solutions architects to understand the AWS IoT Analytics service and how it can be used to collect, process, and analyze IoT data.
See salaries and explore the career path for IoT Solutions Architect
Machine Learning Engineer
A machine learning engineer develops and deploys machine learning models. They may use these models to automate tasks, improve decision-making, or create new products or services. This course can help machine learning engineers to understand the AWS IoT Analytics service and how it can be used to collect, process, and analyze IoT data. This can help machine learning engineers to develop better models and make more accurate predictions.
See salaries and explore the career path for Machine Learning Engineer
Data Scientist
A data scientist uses scientific methods to extract knowledge and insights from data. They may use this information to develop new products or services, or to improve existing ones. This course can help data scientists to understand the AWS IoT Analytics service and how it can be used to collect, process, and analyze IoT data. This can help data scientists to develop better models and make more accurate predictions.
See salaries and explore the career path for Data Scientist
Data Analyst
A data analyst collects, processes, and analyzes data to identify trends and patterns. They may use this information to make recommendations for business decisions. This course can help data analysts to understand the AWS IoT Analytics service and how it can be used to collect, process, and analyze IoT data. This can help data analysts to make better use of IoT data to improve their analysis.
See salaries and explore the career path for Data Analyst
Software Engineer
A software engineer designs, develops, and maintains software applications. They may work on a variety of projects, from small personal projects to large enterprise systems. This course can help software engineers to understand the AWS IoT Analytics service and how it can be used to collect, process, and analyze IoT data. This can help software engineers to develop better software applications that can make use of IoT data.
See salaries and explore the career path for Software Engineer
Cloud Architect
A cloud architect designs and implements cloud computing solutions. They may work with businesses to migrate their applications and data to the cloud, or to develop new cloud-based applications. This course can help cloud architects to understand the AWS IoT Analytics service and how it can be used to collect, process, and analyze IoT data. This can help cloud architects to design and implement better cloud computing solutions that can make use of IoT data.
See salaries and explore the career path for Cloud Architect
DevOps Engineer
A DevOps engineer works to bridge the gap between development and operations. They may be responsible for building and maintaining the infrastructure that supports software applications, or for automating the deployment and management of software applications. This course can help DevOps engineers to understand the AWS IoT Analytics service and how it can be used to collect, process, and analyze IoT data. This can help DevOps engineers to build and maintain better infrastructure and deployment pipelines that can make use of IoT data.
See salaries and explore the career path for DevOps Engineer
Data Engineer
A data engineer designs and builds data pipelines. They may be responsible for collecting, processing, and storing data from a variety of sources. This course can help data engineers to understand the AWS IoT Analytics service and how it can be used to collect, process, and analyze IoT data. This can help data engineers to build better data pipelines that can make use of IoT data.
See salaries and explore the career path for Data Engineer
Quality Assurance Analyst
A quality assurance analyst tests software and other products to ensure that they meet quality standards. They may work with engineers and other testers to identify and fix defects. This course can help quality assurance analysts to understand the AWS IoT Analytics service and how it can be used to collect, process, and analyze IoT data. This can help quality assurance analysts to develop better test cases and to identify defects more quickly.
See salaries and explore the career path for Quality Assurance Analyst
Data Visualization Engineer
A data visualization engineer creates visualizations that help people to understand data. They may work with data analysts and other experts to create visualizations that are clear, concise, and informative. This course can help data visualization engineers to understand the AWS IoT Analytics service and how it can be used to collect, process, and analyze IoT data. This can help data visualization engineers to create better visualizations that can help people to understand and use IoT data.
See salaries and explore the career path for Data Visualization Engineer
Technical Writer
A technical writer creates documentation for software and other technical products. They may work with engineers and other technical experts to gather information and to write clear and concise documentation. This course can help technical writers to understand the AWS IoT Analytics service and how it can be used to collect, process, and analyze IoT data. This can help technical writers to write better documentation that can help users to understand and use IoT data.
See salaries and explore the career path for Technical Writer
Product Manager
A product manager is responsible for the development and launch of a product. They may work with engineers, designers, and marketers to bring a product to market. This course can help product managers to understand the AWS IoT Analytics service and how it can be used to collect, process, and analyze IoT data. This can help product managers to develop better products that can make use of IoT data.
See salaries and explore the career path for Product Manager
Business Analyst
A business analyst works to understand the needs of a business and to develop solutions to meet those needs. They may work on a variety of projects, from small process improvements to large-scale transformation projects. This course can help business analysts to understand the AWS IoT Analytics service and how it can be used to collect, process, and analyze IoT data. This can help business analysts to develop better solutions that can make use of IoT data.
See salaries and explore the career path for Business Analyst
User Experience Designer
A user experience designer works to create products that are easy to use and enjoyable. They may work with engineers and other designers to create user interfaces and to test products with users. This course can help user experience designers to understand the AWS IoT Analytics service and how it can be used to collect, process, and analyze IoT data. This can help user experience designers to create better products that can make use of IoT data.
See salaries and explore the career path for User Experience Designer
Security Analyst
A security analyst works to protect computer systems and networks from threats. They may work with engineers and other security professionals to implement security measures and to monitor for threats. This course may be helpful for security analysts who are interested in learning more about the AWS IoT Analytics service and how it can be used to collect, process, and analyze IoT data. This can help security analysts to develop better security measures and to monitor for threats more effectively.
See salaries and explore the career path for Security Analyst

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction to AWS IoT Analytics.
Cover image
Big Data Analytics with Java
Save
Would be helpful for background knowledge of big data analytics. As IoT Analytics deals with analyzing large volumes of IoT data, knowledge of big data analytics is important.
Big Data Analytics with Java: Data analysis,...
Paperback
$$$
Big Data Analytics with Java: Data analysis,...
Kindle Edition
$$
Cover image
Cisco A Beginner's Guide, Fifth Edition
Save
Provides a more general overview of all things cloud computing, which would give context to the IoT Analytics service.
Cisco A Beginner's Guide, Fifth Edition
Paperback
Check
Cisco A Beginner's Guide, Fifth Edition
Kindle Edition
Check
Cover image
Edge Computing Simplified
Save
Provides an introduction to IoT and edge computing concepts and technologies. It covers AWS IoT Analytics as an edge computing service, offering insights into the benefits and considerations of performing analytics at the edge.
Edge Computing Simplified
Paperback
Check
Edge Computing Simplified
Kindle Edition
Check
Cover image
Semiconductor Manufacturing Handbook 2E (PB)
Save
Provides a comprehensive overview of data analytics for IoT. It covers the different types of data sources, data analysis techniques, and tools available. It also includes case studies of real-world IoT data analytics solutions.
Semiconductor Manufacturing Handbook 2E (PB)
Paperback
Check
Semiconductor Manufacturing Handbook 2E (PB)
Kindle Edition
Check
Cover image
Proceedings of Third International Conference on...
Save
Provides a comprehensive overview of deep learning for IoT. It covers the different types of data sources, data analysis techniques, and tools available. It also includes case studies of real-world IoT deep learning solutions.
Proceedings of Third International Conference on...
Paperback
$$$$
Proceedings of Third International Conference on...
Paperback
$$$$
Proceedings of Third International Conference on...
Kindle Edition
$$$$
Cover image
Unit and Ubiquitous Internet of Things
Save
Provides a comprehensive overview of edge computing for IoT. It covers the different types of data sources, data analysis techniques, and tools available. It also includes case studies of real-world IoT edge computing solutions.
Unit and Ubiquitous Internet of Things
Paperback
Check
Unit and Ubiquitous Internet of Things
Kindle Edition
Check
Cover image
Blockchain with Hyperledger Fabric
Save
Provides a comprehensive overview of blockchain for IoT. It covers the different types of data sources, data analysis techniques, and tools available. It also includes case studies of real-world IoT blockchain solutions.
Hands-On Blockchain with Hyperledger: Building...
Kindle Edition
$$
Blockchain with Hyperledger Fabric: Build...
Kindle Edition
$$
Blockchain Development with Hyperledger: Build...
Kindle Edition
$$
Cover image
Designing the Internet of Things
Save
Provides a comprehensive overview of the Internet of Things, covering the different types of IoT devices, the challenges involved in implementing IoT solutions, and the best practices for designing and implementing IoT solutions.
Designing the Internet of Things
Kindle Edition
$$

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Course image
Time
31 hours
Level
Introductory
Via
Pluralsight
Instructor
AWS
Language
English
Good to know
Examines internet of things (IoT) analytics, which is highly relevant to data science, big data, and cloud computing
Develops skills that can be used for professional growth and development
Taught by AWS, who are recognized for their work in cloud computing and IoT
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