Udemy - IoT Data Analytics

Udemy - IoT Data Analytics
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 36 lectures (4h 26m) | Size: 1.39 GB
Practical introduction to Internet of Things (IoT), Data Analytics, NodeMCU, ESP8266 and Machine Learning,Learn by doing

What you'll learn:
Quick start Building IoT Projects
Design IoT Devices using Thingspeak Platform, NodeMCU (ESP8266)
Data Collection using IoT Devices
Data Analysis and Data Visualization
Machine Learning
Computer fundamentals, Programming fundamentals,
You don't need to have prior knowledge on IOT or Data Analytics or MATLAB
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
Sending Light Sensor Values to IoT Cloud
Sending Temperature and Humidity Values to IoT Cloud
Sensor Data Visualization
Energy savings with Anomaly Detection using Z-Score Analysis
Correlation between Temperature and Humidity and Regression
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
Who this course is for
Engineers who would like to understand the methods used to analyze IoT data in large scale
Executives who would like to understand how to utilize IoT data to create business value
Engineering Graduates , IoT Develpers, Data Scientists

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