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Online introduction to data science including map-reduce

 
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Just in case anybody's interested, Coursera is offering a free online course Introduction to Data Science from the University of Washington, starting next week (1st May). The course aims to cover a range of topics relating to data science, including fashionable themes such as map-reduce and NoSQL, so it should offer a good overview of how/why to pick particular approaches to "Big Data" problems.

Coursera wrote:Commerce and research is being transformed by data-driven discovery and prediction. Skills required for data analytics at massive levels – scalable data management on and off the cloud, parallel algorithms, statistical modeling, and proficiency with a complex ecosystem of tools and platforms – span a variety of disciplines and are not easy to obtain through conventional curricula. Tour the basic techniques of data science, including both SQL and NoSQL solutions for massive data management (e.g., MapReduce and contemporaries), algorithms for data mining (e.g., clustering and association rule mining), and basic statistical modeling (e.g., logistic and non-linear regression).


I recently completed another Coursera course from the University of Washington, which was excellent, so I have high hopes for this course too.
 
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thanks for the info. i will try to take it. there's one already in progress for BigData . a professor from IIT Delhi is teaching.. its pretty good too.. i just dont find enough time ..to complete it.
 
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Thanks Chris for sharing this ... Coursera curriculum is wonderful
 
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Already signed up .
 
Kranti Sri
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me too .. may be we all can be virtual classmates ..and discuss problems and solutions.. just a thought
 
Mohamed El-Refaey
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Nice idea Kranti
 
chris webster
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Kranti Sri wrote:me too .. may be we all can be virtual classmates ..and discuss problems and solutions.. just a thought


Be careful though: Coursera has strict policies on plagiarism and online cheating, as they don't want people publishing/copying solutions to exercises etc. There are online forums for each course, so there are plenty of places to swap ideas without breaking these rules.
 
Kranti Sri
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I think my intentions are misunderstood.. i am not doing the course for the heck of it or for some great grades.. i am doing it, out of interest ..so there's is no point in copy pasting assignments.. so thats not my intention..
i just meant in general. lectures, concepts, etc .. nevermind though.

chris webster wrote:Be careful though: Coursera has strict policies on plagiarism and online cheating, as they don't want people publishing/copying solutions to exercises etc. There are online forums for each course, so there are plenty of places to swap ideas without breaking these rules.

 
chris webster
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Kranti Sri wrote:I think my intentions are misunderstood.. i am not doing the course for the heck of it or for some great grades.. i am doing it, out of interest ..so there's is no point in copy pasting assignments.. so thats not my intention.. i just meant in general. lectures, concepts, etc .. nevermind though.


I'm doing these courses for the same reasons, so no disagreement there! But on previous Coursera courses there have been problems with some students posting answers online deliberately via GitHub, while others have posted "sensitive" material publicly on other forums without meaning to cause problems. This is bad for Coursera, for other students and for the academic staff who put a lot of work into these courses, so it's understandable that they want to prevent this happening.

But we've had our own forum discussions here at JavaRanch for Coursera courses e.g. for the Scala course last year, so as long as we are aware of the issue, there should be no problems with doing this - and it's both useful and fun to swap ideas during the course anyway.

Good luck with the course!
 
Kranti Sri
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Apparently some one already envisioned this thought.
CourseEra has a link to "Study Room" .. Has anyone tried it yet ?
 
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