Difference between revisions of "BigDataChallenge2014"
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(Created page with "Here is a link to the Big Data Challenge 2014 data set: asdklfj;lkdjflkj") |
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| − | + | == Link to the Big Data Challenge 2014 data set== | |
| − | + | BIG_DATA_CHLNG.xlsx | |
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| + | == Computational tools and resources available to the students participating in the Challenge == | ||
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| + | ===SAS resources to be provided to students=== | ||
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| + | 1) SAS University Edition: http://www.sas.com/en_us/software/university-edition.html | ||
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| + | 2) SAS On-Demand For Academics – This is a free cloud version of 5 of our products including Enterprise Miner – our foundation Data Mining tool. I will start a course for the competition http://www.sas.com/govedu/edu/programs/od_academics.html | ||
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| + | 3) Free E-Learning from U of T – See attached PDF and the Access code is G70072789. There are a twelve different courses for students learn how to use SAS. | ||
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| + | 4) www.lexjansen.com – Great website for students to search and learn about different techniques of Analytics. | ||
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| + | ===Open Source resources=== | ||
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| + | 1) R | ||
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| + | 2) Python | ||
Revision as of 15:01, 17 October 2014
Link to the Big Data Challenge 2014 data set
BIG_DATA_CHLNG.xlsx
Computational tools and resources available to the students participating in the Challenge
SAS resources to be provided to students
1) SAS University Edition: http://www.sas.com/en_us/software/university-edition.html
2) SAS On-Demand For Academics – This is a free cloud version of 5 of our products including Enterprise Miner – our foundation Data Mining tool. I will start a course for the competition http://www.sas.com/govedu/edu/programs/od_academics.html
3) Free E-Learning from U of T – See attached PDF and the Access code is G70072789. There are a twelve different courses for students learn how to use SAS.
4) www.lexjansen.com – Great website for students to search and learn about different techniques of Analytics.
Open Source resources
1) R
2) Python