IoT Data Analytics

Practical introduction to Internet of Things (IoT), Data Analytics, NodeMCU, ESP8266 and Machine Learning,Learn by doing

Welcome to IoT Data Analytics Course. This is practical course to learn IoT and Data Analytics from the beginning. Learn how to program NOdeMCU (ESP8266), collecting data and data analysis.

What you’ll learn

  • Quick start Building IoT Projects.
  • Design IoT Devices using Thingspeak Platform, NodeMCU (ESP8266).
  • Data Collection using IoT Devices.
  • MATLAB.
  • Data Analysis and Data Visualization.
  • Machine Learning.

Course Content

  • Introduction to Internet of Things (IoT) –> 6 lectures • 38min.
  • Getting started with Arduino –> 6 lectures • 1hr 13min.
  • Working with Sensors –> 6 lectures • 36min.
  • IoT Data Monitoring –> 8 lectures • 58min.
  • Introduction to MATLAB –> 4 lectures • 21min.
  • Data Visualization –> 2 lectures • 18min.
  • Data Analysis –> 4 lectures • 21min.

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Requirements

Welcome to IoT Data Analytics Course. This is practical course to learn IoT and Data Analytics from the beginning. Learn how to program NOdeMCU (ESP8266), collecting data and data analysis.

There are billions of devices in homes, industries, cities, hospitals, cars, and thousands of other places. With the rapid increase of devices, you increasingly need solutions to connect them, and collect, store, and analyze device data. Data in its raw form is not always useful. Data need to be processed to transform into information.

In this course, you will learn how to collect and analyse sensor data.  You will learn, data processing, data visualization and machine learning algorithms for predictive analytics.

The following are the various topics covered in this training:

  • Introduction to Internet of Things (IoT)
  • Getting started with Arduino Programming
  • Learn to work with NodeMCU (ESP8266  based IoT Board)
  • Collecting Data from sensors locally
  • Sending Sensor Data to IoT Cloud (Thingspeak)
  • Introduction to MATLAB
  • Data Analysis
  • Data Visualization
  • Machine Learning

You’ll get to practice the skills learned during the training, by doing more than five projects on Internet of Things (IoT) and Data analytics.

Hands on Projects

  1. Sending Light Sensor Values to IoT Cloud
  2. Sending Temperature and Humidity Values to IoT Cloud
  3. Sensor Data Visualization
  4. Energy savings with Anomaly Detection using Z-Score Analysis
  5. Correlation between Temperature and Humidity and Regression
  6. Temperature Prediction using Polynomial Regression

What am I going to get from this course?

  • Build IoT projects for sensor data collection
  • Apply the fundamentals of machine learning and statistics to extract value from IoT data
  • Understand different business use-cases for IoT data

 

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