A Hands-on Introduction to Internet of Things (IoT)
20 billion devices globally will be connected and generating data this year, according to Gartner. The Internet of Things is no longer a new concept; it has become more and more ubiquitous in industry such as transport and energy networks, health and fitness monitoring, marketing tracking, and more. But still not many businesses understand how build an IoT pipeline end-to-end and properly utilize the data these devices generate to their advantage. These connected devices, sometimes referred to as Internet of Things (IoTs) range from personal gadgets like mobile phones and wearables to home appliance and automobiles. As industries rely more and more on automation, we will see industrial equipment rely more and more on sensor data coming from smartphones, wearables, home appliances, automobiles, and more.
This introductory course will delve into the exciting field of Internet of Things, with hand-on practical walk-through on setting up IoT applications end-to-end and analyzing the data generating from devices. We will start with a gentle introduction, understand the architecture of an IoT application and build working prototypes for different industries. We will also discuss the pertinent legal, ethical, security and data governance issues.
Who should attend?
This 2-day course is open for all working professionals who want to get hands-on, real-world, practical learning on IoTs.
You should have an interest in data science and data engineering. Having programming experience is not a pre-requisite for enrollment in this course.
What you will learn
- The current landscape of IoTs and what lies in the near future
- The architecture of an IoT application: Sensors, hardware, communication, networking, security, data formats, protocols, and data processing
- How data flows in data pipeline: Ingestors, Stream Processors, AWS, Azure, etc
- The possible security, privacy, encryption issues with the IoTs
- Innovation in artificial intelligence, sensors, and IoT chips
- Ethical, legal and governance issues in IoTs
- Event log mining
- Writing temporal queries
- Time Series Forecasting on IoT data
- Overview of networking protocols for IoT
- Overview of data protocols for IoT
Attendees pick an IoT application from the following tracks:
- Real-time analysis of a simulated credit card data stream
- Real-time sentiment analysis for Twitter stream
- Real-time analytics on motion sensing data emitted by a smart phone
- Attendees pick an IoT application from the following tracks:
- Agriculture: Real-time monitoring of air temperature, humidity, and other environmental factors that impact farming decisions
- Transportation: Real-time tracking of vehicle counts which impact traffic management and congestion alleviation
- In-home care: Real-time monitoring of body movement, balance and other factors that are telling of when an elderly could about to experience a fall at home
What do other learners have to say?
Data Science Dojo is exactly what I was looking for in a week long Data Science Boot Camp. The training was intense and in depth, however, the instructor’s methods for… Read more“Leon Ross”
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