IoT Programming and Big Data
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.
What you'll learn
- Appreciate the software needs of an IoT project
- Understand how data is managed in an IoT network
- Apply software solutions for different systems and Big Data to your IoT concept designs
- Create Python scripts to manage large data files collected from sensor data and interact with the real world via actuators and other output devices.
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Rating | Not enough ratings |
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Length | 5 weeks |
Effort | 5 weeks, 4–6 hours per week |
Starts | On Demand (Start anytime) |
Cost | $199 |
From | Curtin University, CurtinX via edX |
Instructors | Johannes U. Herrmann, Aloke Phatak, Valerie Maxville, Iain Murray AM, Siavash Khaksar, Yifei Ren |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science Art & Design |
Tags | Computer Science Data Analysis & Statistics Design |
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Rating | Not enough ratings |
---|---|
Length | 5 weeks |
Effort | 5 weeks, 4–6 hours per week |
Starts | On Demand (Start anytime) |
Cost | $199 |
From | Curtin University, CurtinX via edX |
Instructors | Johannes U. Herrmann, Aloke Phatak, Valerie Maxville, Iain Murray AM, Siavash Khaksar, Yifei Ren |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science Art & Design |
Tags | Computer Science Data Analysis & Statistics Design |
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