Big Data for Smart Cities

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9/10 stars
based on  4 reviews
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Cost FREE
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Course Details

Cost

FREE

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  • On demand

Course Provider

edX online courses
Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be tau...
Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be taught by David J. Malan, a senior lecturer on computer science at Harvard University for the School of Engineering and Applied Sciences. But there's not just one professor - you have access to the entire teaching staff, allowing you to receive feedback on assignments straight from the experts. Pursue a Verified Certificate to document your achievements and use your coursework for job and school applications, promotions, and more. EdX also works with top universities to conduct research, allowing them to learn more about learning. Using their findings, edX is able to provide students with the best and most effective courses, constantly enhancing the student experience.

Provider Subject Specialization
Sciences & Technology
Business & Management
22459 reviews

Course Description

Cities run on a stream of data. In the smart city, the innovative use of data helps provide better and more inventive services to improve people’s lives and make the entire city run more smoothly. But the data our cities collect nowadays is more massive and varied, and is accessed at higher speeds than ever before. This is Big Data. New technologies are constantly being developed to better manage Big Data. This computer science course, from the IEEE Smart Cities initiative and the University of Trento, helps students understand and use these new technologies to help improve a city.

Our international team of instructors and content experts discuss the fundamental concepts of Big Data and how it has changed Data Management. They provide a vision for managing Big Data today, and how we can make Big Data work for the smart city.

Verified students are eligible to earn Continuing Education Units (CEUs) and Professional Development Ho...

Cities run on a stream of data. In the smart city, the innovative use of data helps provide better and more inventive services to improve people’s lives and make the entire city run more smoothly. But the data our cities collect nowadays is more massive and varied, and is accessed at higher speeds than ever before. This is Big Data. New technologies are constantly being developed to better manage Big Data. This computer science course, from the IEEE Smart Cities initiative and the University of Trento, helps students understand and use these new technologies to help improve a city.

Our international team of instructors and content experts discuss the fundamental concepts of Big Data and how it has changed Data Management. They provide a vision for managing Big Data today, and how we can make Big Data work for the smart city.

Verified students are eligible to earn Continuing Education Units (CEUs) and Professional Development Hours (PDHs), valid toward continuing education requirements for many professional certifications.

Reviews 9/10 stars
4 Reviews for Big Data for Smart Cities

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Vinod Subramanian profile image
Vinod Subramanian profile image

Vinod Subramanian

10/10 starsCompleted
2 years, 9 months ago
Some of the best professors and courses have three underlying uniqueness - it breaks down complex topics into simple basics, it gets your fundamentals absolutely clear, and it has relevance to current market scenario. This course truly stands out on all three aspects. I was attracted to this course and completed in full over a weekend. It would have been very valuable if the verified certificate option is opened again. Please do look into that possibility. - Vinod
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Anthony Borla profile image
Anthony Borla profile image
10/10 starsCompleted
  • 7 reviews
  • 7 completed
3 years, 3 months ago
Although the course is called "Big Data for Smart Cities", little course time (in fact, only one section in Module 4) is devoted to the application of big data to the smart city application domain. So anyone expecting a deep treatment of this area will be disappointed. That said, the course is a very thorough, and quite approachable introduction to "Big Data", one particularly suited to those with a limited technical background, but wanting a broad understanding of the concepts and technologies used in the field. For example, all the fundamental concepts are presented, and straightforwardly explained, right from data science basics, to distributed databases, the mapreduce programming model, and the various frameworks in common use based on these ideas. The quizzes are not onerous, but do require that close attention be paid to the course material, and focus on testing conceptual understanding, rather than requiring any problem solvin... Although the course is called "Big Data for Smart Cities", little course time (in fact, only one section in Module 4) is devoted to the application of big data to the smart city application domain. So anyone expecting a deep treatment of this area will be disappointed. That said, the course is a very thorough, and quite approachable introduction to "Big Data", one particularly suited to those with a limited technical background, but wanting a broad understanding of the concepts and technologies used in the field. For example, all the fundamental concepts are presented, and straightforwardly explained, right from data science basics, to distributed databases, the mapreduce programming model, and the various frameworks in common use based on these ideas. The quizzes are not onerous, but do require that close attention be paid to the course material, and focus on testing conceptual understanding, rather than requiring any problem solving. All in all, a very competent introductory course, well suited to a minimally-technical audience wanting a broad understanding of this field.
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8/10 starsTaking Now
  • 10 reviews
  • 1 completed
3 years, 3 months ago
The course serves as a great survey of the Big Data landscape. The course's videos are very easy to digest and make tough concepts like distributed systems, data nodes and task scheduling much more manageable. The readings are also very enriching and to-the-point. The quizzes are not trivial, but manageable because one needs to understand the lectures and readings to do the quizzes. However, this course really lacks practical assignments or exercises. For instance, the assignments can provide more than knowledge checking by having some toy examples or exercises. I highly recommend this course for someone who looks to understand the concepts of Big Data from a conceptual point of view. However, you should not expect to learn technical skills and applications of Big Data in this course. That said, if future iterations of this course introduces some programming or code-writing assignments, it'll be extremely awesome because the st... The course serves as a great survey of the Big Data landscape. The course's videos are very easy to digest and make tough concepts like distributed systems, data nodes and task scheduling much more manageable. The readings are also very enriching and to-the-point. The quizzes are not trivial, but manageable because one needs to understand the lectures and readings to do the quizzes. However, this course really lacks practical assignments or exercises. For instance, the assignments can provide more than knowledge checking by having some toy examples or exercises. I highly recommend this course for someone who looks to understand the concepts of Big Data from a conceptual point of view. However, you should not expect to learn technical skills and applications of Big Data in this course. That said, if future iterations of this course introduces some programming or code-writing assignments, it'll be extremely awesome because the structure of the course has been very well-designed so far.
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Waseem Parkar profile image
Waseem Parkar profile image

Waseem Parkar

10/10 starsCompleted
3 years, 3 months ago
Good introductory course. It give a very good intro into the technologies that will power the future and Smart Cities. Please consider, this course is for Big Data technologies that will enable Smart Cities. I recommend.
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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.