According to the Internet of Things Global Standards Initiative, IoT is defined as the network of physical objects or things embedded with electronics, software, sensors, and network connectivity, which enable these objects to collect and exchange data. As a recent report by McKinsey pegs the potential economic impact of IoT at $11 trillion by 2025, the most important ingredient of the IoT boom is considered to be the data generated by the collection of sensors. This course will first give an introduction to the concept of IoT and then provide students with the knowledge of how to handle the data deluge related to IoT. It’s geared towards engineers who would like to understand how to utilize the data generated by IoT technologies, or executives who would like to gain some insights to different applications this data can be used for.
What am I going to get from this course?
- Apply the fundamentals of machine learning and statistics to extract value from IoT data
- Understand different business use-cases for IoT data
- Understand different types of IoT data