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

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

...
Enabling Technologies for Data Science and Analytics: The Internet of Things
This course is archived

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

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

Enabling Technologies for Data Science and Analytics: The Internet of Things
5 weeks
7–10 hours per week
Self-paced
Progress at your own speed
This course is archived
Enabling Technologies for Data Science and Analytics: The Internet of Things

About this course

Skip About this 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.

At a glance

  • Institution: ColumbiaX
  • Subject: Computer Science
  • Level: Introductory
  • Prerequisites:
    • High school math
    • Some exposure to computer programming
  • Language: English
  • Video Transcript: English
  • Associated programs:
  • Associated skills: Forecasting, Data Science, Sentiment Analysis, Facial Recognition, Internet Of Things (IoT), Big Data

What you'll learn

Skip 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

About the instructors

This course is part of Data Science for Executives Professional Certificate Program

Learn more 
Expert instruction
3 skill-building courses
Self-paced
Progress at your own speed
4 months
7 - 10 hours per week

Ways to take this course

Choose your path when you enroll.
Verified Track
Audit Track

Price

$99 USD

Free

Access to course materials

Unlimited

Limited

World class institutions and universities

edX support

Shareable certificate upon completion

Graded assignments and exams

Read our FAQsin a new tab about frequently asked questions on these tracks.

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