Information Technology
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Analyzing IoT Data in Python

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5

(3)

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

You may be familiar with Internet of Things devices. A Raspberry Pi, which monitors temperature and humidity, may be found in your home. IoT devices are everywhere and collect data about our environment. This course will teach you how to analyze traffic data, environmental data, and energy counter data. Learn how to collect and store data from a data stream. After you have prepared IoT data and visualized it, you can create a machine-learning model that can be used to take action on specific events and then deploy the model to a live stream.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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Data Manipulation with pandas

What You Will Learn

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Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning

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You will be analyzing Environmental data, Traffic data as well as energy counter data

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Following the course, you will learn how to collect and store data from a data stream

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You will prepare IoT data for analysis, analyze and visualize IoT data, before implementing a simple machine learning model to take action when certain events occur and deploy this model to a real-time data stream

Course Instructors

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Matthias Voppichler

Software Developer

Matthias is an IT Developer with over 10 years of experience in analyzing data and developing data Pipelines for different kinds of data. His responsabilities include developing and maintaining d...

Course Reviews

Average Rating Based on 3 reviews

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