CurtinX: IoT Programming and Big Data
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Learn how to apply software solutions for different systems and Big Data needs to your IoT designs.
About this course
The Internet of Things is creating massive quantities of data, and managing and analysing it requires a unique approach to programming and statistics for distributed data sources.
This course will teach introductory programming concepts that allow connection to, and implementation of some functionality on, IoT devices, using the Python programming language. In addition, students will learn how to use Python to process text log files, such as those generated automatically by IoT sensors and other network-connected systems.
Learners do not need prior programming experience to undertake this course, and will not learn a specific programming language – however Python will be used for demonstrations. This course will focus on learning by working through realistic examples.
At a Glance:
Institution: CurtinX
Subject: Computer Science
Level: Introductory
Prerequisites:
None
Language: English
Video Transcript: English
Associated programs:
MicroMasters® Program in Internet of Things (IoT)
Associated skills:Internet Of Things (IoT), Log Files, Demonstration Skills, Python (Programming Language), Big Data, Programming Concepts, Distributed Data Store
What You’ll Learn:
About this course
The Internet of Things is creating massive quantities of data, and managing and analysing it requires a unique approach to programming and statistics for distributed data sources.
This course will teach introductory programming concepts that allow connection to, and implementation of some functionality on, IoT devices, using the Python programming language. In addition, students will learn how to use Python to process text log files, such as those generated automatically by IoT sensors and other network-connected systems.
Learners do not need prior programming experience to undertake this course, and will not learn a specific programming language – however Python will be used for demonstrations. This course will focus on learning by working through realistic examples.
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