Computational Methods for Data Analysis

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7/10 stars
based on  7 reviews
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Cost FREE
Start Date TBA
Computational Methods for Data Analysis

Course Details

Cost

FREE

Upcoming Schedule

  • TBA

Course Provider

Coursera online courses
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with yo...
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with your coursework. Coursera also partners with the US State Department to create “learning hubs” around the world. Students can get internet access, take courses, and participate in weekly in-person study groups to make learning even more collaborative. Begin your journey into the mysteries of the human brain by taking courses in neuroscience. Learn how to navigate the data infrastructures that multinational corporations use when you discover the world of data analysis. Follow one of Coursera’s “Skill Tracks”. Or try any one of its more than 560 available courses to help you achieve your academic and professional goals.

Provider Subject Specialization
Humanities
Sciences & Technology
4715 reviews

Course Description

Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences.
Computational Methods for Data Analysis course image
Reviews 7/10 stars
7 Reviews for Computational Methods for Data Analysis

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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.

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Doug Steel profile image
Doug Steel profile image
8/10 starsTaking Now
  • 2 reviews
  • 1 completed
5 years, 7 months ago
I am enjoying this course and is giving me a good theoretical background to the signal processing I have been doing lately. Nathan Kutz is a great lecturer and covers the material in an engaging and sometimes humorous manner, illustrating what can be quite a dry subject with interesting real life examples. The associated lecture notes are an excerpt from his book an are well written. Useful practical lessons with MATLAB and a **FREE** MATLAB license for the duration of the course (better support for Octave would have been ideal). However.... It is just a series of videos of his classroom lectures, which are great, but not always suited to watching online. The quizzes are basic and sometimes are just "do this in MATLAB, did you do it yes/no ?". There is no forum participation from the lecturer or TAs. And no certificate of completion available if that interests you (doesn't bother me much, I'm doing this out of interest). In summary, ... I am enjoying this course and is giving me a good theoretical background to the signal processing I have been doing lately. Nathan Kutz is a great lecturer and covers the material in an engaging and sometimes humorous manner, illustrating what can be quite a dry subject with interesting real life examples. The associated lecture notes are an excerpt from his book an are well written. Useful practical lessons with MATLAB and a **FREE** MATLAB license for the duration of the course (better support for Octave would have been ideal). However.... It is just a series of videos of his classroom lectures, which are great, but not always suited to watching online. The quizzes are basic and sometimes are just "do this in MATLAB, did you do it yes/no ?". There is no forum participation from the lecturer or TAs. And no certificate of completion available if that interests you (doesn't bother me much, I'm doing this out of interest). In summary, interesting course, but could be so much better.
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Richard Taylor profile image
Richard Taylor profile image
10/10 starsCompleted
  • 29 reviews
  • 28 completed
4 years, 1 month ago
This course is a gem so I urge everyone interested in these topics to take it. Before explaining why I will start with a disclaimer. This course is one of the first in the category "abandonmoocs" you have the lectures and the quizzes but you are completely on your own, the instructor is not present and there are no TAs or any kind of help whatsoever, so in some way this is the same as just a list of videos on youtube. But the content is terrific and the instructor is a genius!. This course covers very very interesting topics such as PCA, Independent component analysis, image segmentation, signal processing and many other topics and the way the topics are presented is terrific. First you get a great lecture about the theory behind each subject, the instructor takes time to make very difficult concepts simple and he does it without losing depth in the topics. Not only that but he is also fun and presents really nice examples f... This course is a gem so I urge everyone interested in these topics to take it. Before explaining why I will start with a disclaimer. This course is one of the first in the category "abandonmoocs" you have the lectures and the quizzes but you are completely on your own, the instructor is not present and there are no TAs or any kind of help whatsoever, so in some way this is the same as just a list of videos on youtube. But the content is terrific and the instructor is a genius!. This course covers very very interesting topics such as PCA, Independent component analysis, image segmentation, signal processing and many other topics and the way the topics are presented is terrific. First you get a great lecture about the theory behind each subject, the instructor takes time to make very difficult concepts simple and he does it without losing depth in the topics. Not only that but he is also fun and presents really nice examples for each topic. Then you get a "practice" lecture where the instructor codes the different algorithms in real time using Matlab, this was awersome as you could just reproduce the code at the same time and understand how things work and what very nice things you can do with the algorithms. There's nothing remotely similar to this course so I give it six stars even in its current state of abandonment.
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Dan profile image
Dan profile image
6/10 starsCompleted
  • 9 reviews
  • 9 completed
5 years, 7 months ago
Class wasn't bad, it's a tutorial of many different computational methods. Having a lot to cover, it doesn't go deep at all, but at least the teacher identifies some key points (e.g. time vs. frequency in analysis) and illustrated them well. In the end, I don't think this class gave me much for the time I spent (lectures are quite long) as it was too superficial for my interests. The best part was probably showing what matlab functions and toolkits can be used for the various problems; even though only a few commands were used for each domain, it can be a good start for a beginner needing to get oriented.
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Lars Ericson profile image
Lars Ericson profile image
2/10 starsDropped
  • 1 review
  • 0 completed
5 years, 8 months ago
The instructor designed course to require Matlab for $99 when Octave is freely available and used by Stanford courses such as Machine Intelligence. Lectures were copied from poor quality videos produced for UW consumption. Downloading of lectures for offline viewing was obstructed and discouraged. For-pay UW course was heavily promoted. For this reason also I think UW does not give certificates to non-paying Coursera students. I have looked at other UW courses on Coursera and all are similar in regards to these factors. There are many similar courses available on Coursera from providers more sincerely committed to the free MOOC education model, I recommend these instead.
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Student profile image
Student profile image

Student

1/10 starsDropped
6 years, 1 month ago
Sorry, offsetting last review which was posted for the wrong class. This instructor is committed to his paying class, but not to the Coursera crowd. Quizzes for Coursera seem to be put together in a hurry and without much thought.
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Student profile image
Student profile image

Student

10/10 starsTaking Now
6 years, 1 month ago
Very committed instructor, broad range of topics covered , but still with sufficient depth, versatile assigments well thought-out and tied in seamlessly with lecture material
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Gavin Conran profile image
Gavin Conran profile image
10/10 starsCompleted
  • 25 reviews
  • 25 completed
6 years, 5 months ago
I looked forward to Mondays to be further enlightened by the brilliant Nathan Kutz. This class is an example of how the combination of science and arts can give technology students a well rounded and rewarding education. I finished the course with the underlying skills and understanding to carry out my own data analysis research project coupled with a new perspective on Picasso. I also had some laughs along the way. Jaw droppingly awesomus - that's Latin if you didn't know ;-)
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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.