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Analyzing IoT Data in Python

IntermediateSkill Level
4.8+
90 reviews
Updated 06/2024
Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.
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PythonData Manipulation4 hr16 videos53 Exercises4,250 XP6,754Statement of Accomplishment

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Course Description

Have you ever heard about Internet of Things devices? Of course, you have. Maybe you also have a Raspberry PI in your house monitoring the temperature and humidity. IoT devices are everywhere around us, collecting data about our environment. You will be analyzing Environmental data, Traffic data as well as energy counter data. Following the course, you will learn how to collect and store data from a data stream. 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.

Prerequisites

Data Manipulation with pandas
1

Accessing IoT Data

In this chapter, you will first understand what IoT data is. Then, you learn how to aquire IoT data through a REST API and using an MQTT data stream to collect data in real time.
Start Chapter
2

Processing IoT Data

In the second chapter, you will look at the data you gathered during the first chapter. You will visualize the data and learn the importance of timestamps when dealing with data streams. You will also implement caching to an MQTT data stream.
Start Chapter
3

Analyzing IoT Data

4

Machine Learning for IoT

Analyzing IoT Data in Python
Course
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*4.8
from 90 reviews
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18%
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  • Vandana
    18 hours ago

  • Afiq
    5 weeks ago

  • Hazim
    2 months ago

  • Christopher
    2 months ago

    NICE

  • Eric
    2 months ago

  • Jean Claude
    2 months ago

    I learned a lot

Afiq

Hazim

"NICE"

Christopher

FAQs

Is this course suitable for beginners?

es, this course is suitable for beginners. It starts with an introduction to IoT data and progresses to setting up a data stream, processing and analyzing data, and finally, using machine learning for IoT.

Will I receive a certificate at the end of the course?

Yes, upon successful completion of the course, you will receive a certificate of accomplishment.

Who will benefit from this course?

This course is suitable for IT Professionals, Data Scientists, Data Analysts, and Software Engineers who want to learn more about IoT data. It can also be beneficial to Software Developers, Data Engineers and Business Analysts working in industries that use IoT data in their operations.

What topics will be covered by this course?

This course covers topics such as accessing IoT data via a REST API, using an MQTT data stream to collect data in real time, visualizing and analyzing IoT data, and using machine learning to make real-time predictions.

What kind of software do I need for the course?

This course requires Python 3, Jupyter Notebooks, and some libraries such Mosquitto and Paho for MQTT.

How long would it take to complete the course?

The course consists of 4 chapters and should take approximately 4 hours to complete.

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