Course Report
Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.
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Course Features
Duration
4 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
4 hours
Course Description
Highlights
Hands on training
Top 30 Percentile
Rating & Reviews
Top 30 Percentile
Pedagogy
Top 30 Percentile
Parameters
Pedagogy
Acquire all major IoT & Connected Devices skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in IoT & Connected Devices, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.
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Hands on training
It features Hands on training complemented by Virtual Labs, ensuring comprehensive skill development. This enhances its value, making it an excellent choice for individuals seeking a well-rounded education in IoT & Connected Devices.
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Rating & Reviews
This highly acclaimed course is among the top-rated in IoT & Connected Devices, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in IoT & Connected Devices.
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Course Overview
Virtual Labs
International Faculty
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Data Manipulation with pandas
What You Will Learn
Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning
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
Course Instructors
Matthias Voppichler
Software Developer
Course Reviews
Average Rating Based on 3 reviews
100%