About this course The Internet of Things is rapidly growing. It is predicted that more than 25 billion devices will be connected by 2020. In this data science course, you will learn about the major components of the Internet of Things and how data is acquired from sensors. You will also examine ways of analyzing event data, sentiment analysis, facial recognition software and how data generated from devices can be used to make decisions. What you’ll learn Course Content Day 1 Introduction to the Internet of Things The Arduino Platform Reading from Sensors Programming fundamentals ( C language ) Arduino Programming & Interface of Sensors Project 1: Simple LED Program for Arduino Project 4: Voice Controlled Mini Home Automation using Android Smartphone Project 5: Control Devices using Localhost Web Server for Home Automation Day 2 Project 6: Creating own Android App using MIT App Inventor & controlling Arduino connected devices. Project 7: Being Social on Twitter & update status on Twitter through Arduino Project 8: Send Voltage & Analog Data on Cloud Server. Project 9: Use Arduino to Upload free data from Environmental Sensors to Cloud Server. Project 10: Automatically Tweet Sensor Data on Twitter Project 11: Receive Automatic Call Notification on Mobile Phone for Burglar Alarm using IoT Platform Project 12: Control Electronic Devices from anywhere across the world using Internet & Mobile App
Project 2: Integrating Sensors & Reading Environmental Physical Values.
Project 3: Reading Environmental Values on Android Smartphone.