Columbia University - Enabling Technologies for Data Science and Analytics: The Internet of Things
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Enabling Technologies for Data Science and Analytics: The Internet of Things at edX Overview
Enabling Technologies for Data Science and Analytics: The Internet of Things
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Duration | 5 weeks |
Start from | Start Now |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Go to Website  |
Credential | Certificate |
Enabling Technologies for Data Science and Analytics: The Internet of Things at edX Highlights
Enabling Technologies for Data Science and Analytics: The Internet of Things
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- Length: 5 Weeks
- Effort: 7-10 hours per week
- Price: FREE Add a Verified Certificate for $99 USD
- Institution ColumbiaX
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Enabling Technologies for Data Science and Analytics: The Internet of Things at edX Course details
Enabling Technologies for Data Science and Analytics: The Internet of Things
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Skills you will learn
More 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.
Enabling Technologies for Data Science and Analytics: The Internet of Things at edX Curriculum
Enabling Technologies for Data Science and Analytics: The Internet of Things
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Syllabus
null
Enabling Technologies for Data Science and Analytics: The Internet of Things at edX Faculty details
Enabling Technologies for Data Science and Analytics: The Internet of Things
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fred jiang
Designation : Assistant Professor in the Electrical Engineering Department University : Columbia University
julia hirschberg
Designation : Percy K. and Vida LW Hudson Professor of Computer Science University : Columbia University
michael collins
Designation : Vikram S. Pandit Professor of Computer Science University : Columbia University
shih fu chang
Designation : Richard Dicker Chair Professor University : Columbia University
zoran kostic
Designation : Associate Professor of Professional Practice & Director of the MS EE Program University : Columbia University
kathy mckeown
Designation : Henry and Gertrude Rothschild Professor of Computer Science University : Columbia University
Enabling Technologies for Data Science and Analytics: The Internet of Things at edX Entry Requirements
Enabling Technologies for Data Science and Analytics: The Internet of Things
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Eligibility criteria
- High school math Some exposure to computer programming
Conditional Offer
- Not mentioned
Enabling Technologies for Data Science and Analytics: The Internet of Things at edX Admission Process
Enabling Technologies for Data Science and Analytics: The Internet of Things
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Important Dates
May 25, 2024
Course Commencement Date
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Enabling Technologies for Data Science and Analytics: The Internet of Things
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Enabling Technologies for Data Science and Analytics: The Internet of Things