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

Discover the relationship between Big Data and the Internet of Things (IoT).

Columbia University Online Course Highlights

5 weeks long
7-10 hours per week
Learn for FREE, Ugpradable
Self-Paced
Taught by: Fred Jiang, Julia Hirschberg, Michael Collins, Shih-Fu Chang, Zoran Kostic, Kathy McKeown
View Course Syllabus

Online Course Details:

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.

What you’ll 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