Analyzing IoT Data in Python

Engineering and Technology

Short Description

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

Long Description

Are you familiar with Internet of Things (IoT) devices? It is highly likely that you are, and you may even have a Raspberry PI at home that monitors temperature and humidity. IoT devices are ubiquitous, constantly gathering data about our surroundings. In this course, you will delve into the analysis of environmental, traffic, and energy counter data. Throughout the program, you will acquire the skills to effectively collect and store data from a data stream. Additionally, you will learn how to prepare IoT data for analysis, analyze and visualize it, and ultimately implement a basic machine learning model. This model will enable you to take action when specific events occur, and you will have the opportunity to deploy this model to a real-time data stream.

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Course Details

Duration: 4 hours
Format: Short Course
Price: USD39.00
Course Link

DataCamp

DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.

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