Certificate in IoT Data: Essential Concepts
-- ViewingNowThe Certificate in IoT Data: Essential Concepts is a comprehensive course designed to equip learners with the fundamental skills needed to thrive in the Internet of Things (IoT) industry. This course emphasizes the critical role of data in IoT systems, providing a deep understanding of data acquisition, processing, and analysis.
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โข Introduction to IoT Data – defining IoT data, types of IoT data, and the role of data in IoT systems.
โข Data Collection – methods, technologies, and best practices for collecting IoT data, including sensors, gateways, and networks.
โข Data Transmission – protocols, standards, and techniques for securely and efficiently transmitting IoT data, such as MQTT, CoAP, and HTTP.
โข Data Storage – options, considerations, and strategies for storing IoT data, including databases, data lakes, and data warehouses.
โข Data Processing – techniques, tools, and architectures for processing IoT data, including edge computing, real-time processing, and batch processing.
โข Data Analytics – methods, algorithms, and tools for analyzing IoT data, such as machine learning, artificial intelligence, and statistical analysis.
โข Data Visualization – techniques, tools, and best practices for visualizing IoT data, including charts, graphs, and dashboards.
โข Data Security – principles, practices, and technologies for securing IoT data, including encryption, authentication, and authorization.
โข Data Privacy – regulations, standards, and guidelines for protecting IoT data privacy, including GDPR, CCPA, and HIPAA.
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