Enabling Technologies for Data Science and Analytics: The Internet of Things

MOOC
Enabling Technologies for Data Science and Analytics: The Internet of Things
Language
English
Duration
11 months
Certificate
Certification paid
Course by EdX
Enabling Technologies for Data Science and Analytics: The Internet of Things
What will you learn?
Networks, protocols and basic software for the Internet of Things (IoT)
How automated decision and control can be done with IoT technologies
Discuss devices including sensors, low power processors, hubs/gateways and cloud computing platforms
Learn about the relationship between data science and natural language and audio-visual content processing
Study research projects drawn from scientific journals, online media, and novels
Review fundamental techniques for visual feature extraction, content classification and high-dimensional indexing
Techniques that can be applied to solve problems in web-scale image search engines, face recognition, copy detection, mobile product search, and security surveillance
Examine data collection, processing and analysis
About the course

The Internet of Things is rapidly growing. It is predicted that more than 25 billion devices will be connected by 2020.

In this data science course, you will learn about the major components of the Internet of Things and how data is acquired from sensors. You will also examine ways of analyzing event data, sentiment analysis, facial recognition software and how data generated from devices can be used to make decisions.

Program
Enabling Technologies for Data Science and Analytics: The Internet of Things
Discover the relationship between Big Data and the Internet of Things (IoT).
Lecturers
Fred Jiang
Fred Jiang
Assistant Professor in the Electrical Engineering Department Columbia University
Julia Hirschberg
Julia Hirschberg
Percy K. and Vida LW Hudson Professor of Computer Science Columbia University
Michael Collins
Michael Collins
Vikram S. Pandit Professor of Computer Science Columbia University
Shih-Fu Chang
Shih-Fu Chang
Richard Dicker Chair Professor Columbia University
Zoran Kostic
Zoran Kostic
Associate Professor of Professional Practice & Director of the MS EE Program Columbia University
Kathy McKeown
Kathy McKeown
Henry and Gertrude Rothschild Professor of Computer Science Columbia University
Platform
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