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Permalink Reply by MikeJay on April 28, 2011 at 9:57pm

You need to know SQL. Data extract/reporting is an important part of the Analytics arena.

 

 

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Permalink Reply by Miles Garnsey on April 28, 2011 at 11:17pm

I'd say that depending on what sort of data you're working with, Python seems to be commonly used as well. Generally, knowing a general purpose scripting language seems to be helpful with ETL and tying together multiple languages in an analysis. Also, sometimes R and SAS won't be available or won't be able to handle the volume of data you want, so you need to be able to sample and transform the data using a lower level language.

 

(Disclaimer: I am also VERY new to analytics and don't neccesarily know what I'm talking about, this is just based on my observations of what other's have said!)

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Permalink Reply by Marco Di Marco on April 29, 2011 at 9:36am

Time series analysis could be easier for a beginner with an ad hoc program like TSP or others suited to your needs

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Permalink Reply by Larry on April 29, 2011 at 10:30am

R is the preferred statistical environment/language for Kaggle data mining competitions.

http://blog.revolutionanalytics.com/2011/04/how-kaggle-competitors-...

 

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