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Patryk Orwat
IoT devices usually generate big quantities of messages. In this course, Analyzing Your Data with AWS IoT Analytics, you will gain the ability to build and troubleshoot data pipelines that will process data from your IoT devices. First, you will learn how to build the pipeline. Next, you will discover how to perform analysis using different tools. Finally, you will explore how to troubleshoot potential problems related to the setup. When you're finished with this course, you will have the skills and knowledge of AWS IoT Analytics needed to architect, build, and operate IoT analytical solutions.
Register for this course and see more details by visiting:
OpenCourser.com/course/q0ejuw/analyzing
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Provides learners with skills and knowledge essential for architecting, building, and operating IoT analytical solutions
Taught by Patryk Orwat, a recognized expert in the field
Utilizes AWS IoT Analytics, an industry-standard tool for IoT data processing
Strong focus on practical skills, including building data pipelines and performing data analysis with various tools
Prior knowledge of IoT devices and data generation is assumed, making it suitable for intermediate learners
May require access to specific software or tools, which could be an additional expense for learners
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Career center
Learners who complete Analyzing Your Data with AWS IoT Analytics will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Data Engineers work with big data, and it is very likely that some of this data will come from IoT devices. This fact makes this course an excellent choice for someone who is looking to break into or advance in the field of Data Engineering. This course will help set you up for success in a Data Engineering position because it will teach you how to build and troubleshoot data pipelines, perform analysis using different tools, and troubleshoot potential problems related to the setup of your data infrastructure.
Data Scientist
Data Scientist
Data Scientists will find this course to be particularly useful as IoT devices generate big quantities of data that can be used to train machine learning models. This course will teach you the skills and knowledge needed to build and troubleshoot data pipelines, perform analysis using different tools, and troubleshoot potential problems related to the setup of your data science infrastructure. These skills will give you an advantage in the increasingly competitive field of Data Science.
Data Analyst
Data Analyst
Many Data Analysts use IoT devices and AWS IoT Analytics to analyze large amounts of data. The skills and knowledge you will gain through this course will give you an advantage when interviewing for Data Analyst positions. This course will help you understand how IoT devices generate big quantities of messages, how to build and troubleshoot data pipelines to process this data, how to perform analysis using different tools, and how to troubleshoot potential problems related to the setup. This knowledge and these skills will make you a particularly strong candidate for a Data Analyst position.
IoT Architect
IoT Architect
IoT Architects design, build, and maintain IoT systems. This course can help you excel in an IoT Architect position by giving you the skills and knowledge needed to build and troubleshoot data pipelines, perform analysis using different tools, and troubleshoot potential problems related to the setup of an IoT system. This knowledge will make you a more effective IoT Architect and will help you to design, build, and maintain IoT systems that are reliable, scalable, and secure.
IoT Developer
IoT Developer
IoT Developers are responsible for developing and maintaining the software that runs on IoT devices. This course will help you succeed in an IoT Developer position by teaching you how to build and troubleshoot data pipelines, perform analysis using different tools, and troubleshoot potential problems related to the setup of an IoT device. These skills will make you a more valuable asset to any team that is working on IoT projects.
Cloud Architect
Cloud Architect
Cloud Architects design, build, and maintain cloud-based systems. This course may be useful for someone who is looking to break into or advance in the field of Cloud Architecture. This course will help you understand how to build and troubleshoot data pipelines, perform analysis using different tools, and troubleshoot potential problems related to the setup of a cloud-based system. This knowledge will make you a more effective Cloud Architect and will help you to design, build, and maintain cloud-based systems that are reliable, scalable, and secure.
Systems Engineer
Systems Engineer
This course may be useful for Systems Engineers who are responsible for managing IoT systems. IoT devices often generate large volumes of data, and this course will help you to build and troubleshoot data pipelines to process that data. You will also learn how to perform analysis using different tools and how to troubleshoot potential problems related to the setup of your IoT system. These skills will make you a more effective Systems Engineer and will help you to manage IoT systems that are reliable, scalable, and secure.
Software Engineer
Software Engineer
This course may be useful for Software Engineers who are working on IoT projects. IoT devices often generate large volumes of data, and this course will help you to build and troubleshoot data pipelines to process that data. You will also learn how to perform analysis using different tools and how to troubleshoot potential problems related to the setup of your IoT system. These skills will make you a more effective Software Engineer and will help you to develop IoT systems that are reliable, scalable, and secure.
Data Management Analyst
Data Management Analyst
This course may be useful for Data Management Analysts who are responsible for analyzing data from IoT devices. IoT devices often generate large volumes of data, and this course will help you to build and troubleshoot data pipelines to process that data. You will also learn how to perform analysis using different tools and how to troubleshoot potential problems related to the setup of your data management system. These skills will make you a more effective Data Management Analyst and will help you to analyze data from IoT devices in a way that is efficient and effective.
Product Manager - IoT
Product Manager - IoT
This course may be useful for Product Managers who are working on IoT products. IoT devices often generate large volumes of data, and this course will help you to understand how to build and troubleshoot data pipelines to process that data. You will also learn how to perform analysis using different tools and how to troubleshoot potential problems related to the setup of your IoT product. These skills will make you a more effective Product Manager and will help you to develop IoT products that are successful and meet the needs of your customers.
Business Analyst - IoT
Business Analyst - IoT
This course may be useful for Business Analysts who are working on IoT projects. IoT devices often generate large volumes of data, and this course will help you to understand how to build and troubleshoot data pipelines to process that data. You will also learn how to perform analysis using different tools and how to troubleshoot potential problems related to the setup of your IoT project. These skills will make you a more effective Business Analyst and will help you to develop IoT projects that are successful and meet the needs of your stakeholders.
Consultant - IoT
Consultant - IoT
This course may be useful for Consultants who are working on IoT projects. IoT devices often generate large volumes of data, and this course will help you to understand how to build and troubleshoot data pipelines to process that data. You will also learn how to perform analysis using different tools and how to troubleshoot potential problems related to the setup of your IoT project. These skills will make you a more effective Consultant and will help you to develop IoT projects that are successful and meet the needs of your clients.
Technical Writer - IoT
Technical Writer - IoT
This course may be useful for Technical Writers who are working on IoT projects. IoT devices often generate large volumes of data, and this course will help you to understand how to build and troubleshoot data pipelines to process that data. You will also learn how to perform analysis using different tools and how to troubleshoot potential problems related to the setup of your IoT project. These skills will make you a more effective Technical Writer and will help you to develop IoT documentation that is accurate and easy to understand.
Trainer - IoT
Trainer - IoT
This course may be useful for Trainers who are teaching IoT courses. IoT devices often generate large volumes of data, and this course will help you to understand how to build and troubleshoot data pipelines to process that data. You will also learn how to perform analysis using different tools and how to troubleshoot potential problems related to the setup of your IoT training course. These skills will make you a more effective Trainer and will help you to develop IoT courses that are engaging and informative.
Marketer - IoT
Marketer - IoT
This course may be useful for Marketers who are working on IoT products or services. IoT devices often generate large volumes of data, and this course will help you to understand how to build and troubleshoot data pipelines to process that data. You will also learn how to perform analysis using different tools and how to troubleshoot potential problems related to the setup of your IoT marketing campaign. These skills will make you a more effective Marketer and will help you to develop IoT marketing campaigns that are successful and reach your target audience.
For more career information including salaries, visit:
OpenCourser.com/course/q0ejuw/analyzing
Reading list
We haven't picked any books for this reading list yet.
Provides a comprehensive guide to AWS IoT Analytics for data scientists.
Save
Provides a collection of recipes for common AWS IoT Analytics tasks. It valuable resource for anyone looking to quickly get started with the service or learn more about its features.
Is written for beginners and provides a step-by-step guide to building and deploying IoT data analytics solutions using AWS IoT Analytics.
This practical guide provides a comprehensive overview of AWS IoT Analytics, covering all aspects of building and deploying IoT data analytics solutions.
Provides a comprehensive guide to implementing AWS IoT Analytics in the cloud.
Provides a comprehensive introduction to Spark, a popular open-source framework for big data processing. It covers all aspects of Spark, from installation and configuration to programming and optimization. It valuable resource for anyone who wants to learn more about Spark.
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Explores the applications of big data analytics in healthcare. It covers topics such as electronic health records, medical imaging, and disease surveillance. It valuable resource for healthcare professionals and researchers who want to learn how to use big data to improve patient care.
This practical guide introduces the fundamental concepts of data analytics, including data cleaning, transformation, and visualization. It is written in a clear and concise style, making it accessible to readers with no prior experience in the field.
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This hands-on guide provides step-by-step instructions on how to implement big data analytics projects. It covers topics such as data engineering, data mining, and machine learning. It is suitable for readers with some experience in data analysis.
Provides a comprehensive overview of data science, including data processing, machine learning, and deep learning. Suitable for beginners and as a reference for practitioners.
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This approachable book is designed for readers with no prior knowledge of big data. It covers the basics of big data, including data collection, storage, processing, and analysis. It good starting point for those who want to learn more about the field.
This comprehensive guide to Hadoop is written by one of the project's original developers. It covers all aspects of Hadoop, from installation and configuration to programming and optimization. It must-read for anyone who wants to learn more about Hadoop.
Covers the fundamentals of data analysis in Python, including data manipulation, visualization, and statistical modeling. Suitable for beginners and those seeking to enhance their Python skills for data analysis.
Save
This classic textbook covers the fundamental concepts of data mining, including data cleaning, transformation, and visualization. It also introduces a variety of data mining algorithms, such as decision trees, clustering, and association rules. It valuable resource for anyone who wants to learn more about data mining.
Provides a comprehensive introduction to natural language processing, a subfield of artificial intelligence that deals with the understanding of human language. It covers topics such as text classification, language modeling, and machine translation. It valuable resource for anyone who wants to learn more about natural language processing.
Provides a comprehensive overview of machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning. It valuable resource for anyone who wants to learn more about machine learning.
Explores the intersection of machine learning and big data. It covers topics such as supervised and unsupervised learning, feature engineering, and model evaluation. It is suitable for readers with a background in machine learning who want to learn how to apply their skills to big data problems.
Focuses on the Hadoop framework and ecosystem for processing big data, covering data storage, processing, and analysis. Suitable for developers and data engineers working with big data technologies.
Focuses on the use of Hadoop, a popular open-source framework for big data processing. It provides detailed instructions on how to install and use Hadoop, as well as how to develop and deploy big data analytics applications.
This comprehensive textbook provides a broad overview of big data analytics, covering topics such as data collection, storage, processing, analysis, and visualization. It is suitable for both beginners and experienced practitioners.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/q0ejuw/analyzing
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Time
1 hours
Via
Pluralsight
Instructor
Patryk Orwat
This course belongs to a
collection
called
AWS IoT. It's comprised of eight courses:
- AWS IoT: The Big Picture
- Triggering Lambda Functions from Simple Devices with AWS IoT 1-Click
- Integrating AWS IoT Core in Your Application
- Managing Connected Devices with AWS IoT Device Management
- Securing Connected Devices with AWS IoT Device Defender
- Connecting IoT Devices and AWS with Amazon Greengrass
- Analyzing Your Data with AWS IoT Analytics (viewing)
- Integrating Connected IoT Microcontrollers with Amazon FreeRTOS
Good to know
Provides learners with skills and knowledge essential for architecting, building, and operating IoT analytical solutions
Taught by Patryk Orwat, a recognized expert in the field
Utilizes AWS IoT Analytics, an industry-standard tool for IoT data processing
Strong focus on practical skills, including building data pipelines and performing data analysis with various tools
Prior knowledge of IoT devices and data generation is assumed, making it suitable for intermediate learners
May require access to specific software or tools, which could be an additional expense for learners
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