IoT Data Analytics

About IoT Data Analytics

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