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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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/yua847/introduction
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What's inside
Syllabus
Introduction to AWS IoT Analytics
Good to know
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Review AWS basics
Show steps
Review the basics of AWS to ensure a solid foundation before starting the course.
Browse courses on
AWS
Show steps
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
Engage with the AWS IoT Analytics community to learn from others, share experiences, and stay updated on the latest trends and advancements.
Show steps
Show steps
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
Show steps
Enhance your understanding of AWS IoT Analytics by following guided tutorials provided by AWS.
Browse courses on
AWS IoT Analytics
Show steps
Show steps
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
Show steps
Practice data transformation skills using SQL to prepare for working with IoT data in AWS IoT Analytics.
Browse courses on
Data Transformation
Show steps
Show steps
Show steps
- Set up a SQL environment
- Import sample IoT data
- Perform data transformations using SQL
Build a Dashboard for IoT Analytics
Show steps
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
Show steps
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
Show steps
Apply your knowledge by building a practical data pipeline using AWS IoT Analytics, solidifying your understanding of the concepts.
Show steps
Show steps
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
Show steps
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
Show steps
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
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.
Machine Learning Engineer
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.
Data Scientist
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.
Data Analyst
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.
Software Engineer
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.
Cloud Architect
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.
DevOps Engineer
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.
Data 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.
Quality Assurance Analyst
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.
Data Visualization Engineer
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.
Technical Writer
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.
Product Manager
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.
Business Analyst
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.
User Experience Designer
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.
Security Analyst
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.
For more career information including salaries, visit:
OpenCourser.com/course/yua847/introduction
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.
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.
Provides a more general overview of all things cloud computing, which would give context to the IoT Analytics service.
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.
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.
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.
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.
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.
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/yua847/introduction
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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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