Overview
Context
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.
During this Analyzing IoT Data in Python course offered by Data Camp, 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.
Programme Structure
Chapters
- Accessing IoT Data
- Processing IoT data
- Analyzing IoT data
- Machine learning for IoT
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Campus Location
- New York City, United States
Disciplines
Software Engineering Data Analytics View 177 other Short Courses in Data Analytics in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- PREREQUISITES: Data Manipulation with pandas
- This course is suitable for beginners.
- 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.
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions