IoT Programming and Big Data Foundations

As billions of smart devices connect to the internet, the ability to collect, process, and analyze sensor data is more critical than ever. This course introduces you to the intersection of Internet of Things (IoT) programming and modern Big Data systems. You will start with the absolute basics of IoT architecture and device communication before moving on to writing clean code for data collection. You will learn how to handle massive streams of information, store them efficiently, and prepare them for real-time analysis. What you'll learn: 1. Understand foundational IoT architectures, protocols, and device-to-cloud communication standards. 2. Write clean programming logic to read, filter, and transmit sensor data from edge devices. 3. Design scalable data ingestion pipelines to handle high-velocity streams of big data. 4. Store and organize IoT datasets using modern database solutions and structured formats. 5. Apply basic data processing and aggregation techniques to extract meaningful insights from raw signals. 6. Implement essential security practices and modern edge-computing concepts to protect device data. The course starts with key terminology and core hardware-software interactions, then guides you step-by-step through writing device code, setting up data pipelines, and analyzing big data patterns. This text-only guide is designed for beginners, aspiring developers, and tech enthusiasts looking to enter the IoT space. No prior programming or hardware experience is required. Begin your journey into the connected world of smart devices and large-scale data analysis today.