Wednesday 24 August 2011

Re: [pakgrid] Data Analysis using R programming language

 

I would like to add another point.
Matlab is good for analysis but if you want to hook it with some other
code/application like Dot net then it become little complicated. Plus
matlab installation is huge. R installation is compact plus you can
call it from visual studio, excel without much hassle.

You can use R studio with is very convenient to use too.

On 8/23/11, ISHTIAQ AHMAD <ishtiaq.ahmad@gmail.com> wrote:
> For statistical analyze there nothing better then R except *S-Plus*, many
> free packages are already available in R. Matlab is best for modeling.
>
> I never used Matamatica for statistical analyze, so can not say much about
> it.
>
> --ishtiaq
>
> On Mon, Aug 22, 2011 at 9:08 AM, Usman Rafique
> <rafiqusman@hotmail.com>wrote:
>
>> **
>>
>>
>> I would like to ask if Matlab or Matamatica is a good substitute for
>> language like R. Matlab has statistical tool box and has most of function
>> libraries needed to analyze data. Moreover, it is easy to use and have
>> quite
>> powerful visualization abilities.
>> ------------------------------
>> To: pakgrid@yahoogroups.com
>> From: nasheikh@gmail.com
>> Date: Tue, 16 Aug 2011 12:21:18 -0400
>> Subject: Re: [pakgrid] Data Analysis using R programming language
>>
>>
>> I am not familiar with the curriculums at Graduate level CS programs in
>> Pakistan but including R programming in an advanced data analysis course
>> would be very useful. The course would include statistics, R, aspects of
>> linear algebra and data analysis. A recent article in WSJ emphasizes this
>> for business schools as numerous MBA programs are adding statistical data
>> analysis and visualization for managers
>>
>> The management culture in Pakistan is not data centric at all and
>> therefore
>> I would recommend CS programs introduce this. Here is the excerpt of the
>> article from WSJ
>>
>> Regards
>> Nauman Sheikh
>> Baltimore, MD
>>
>> Business Schools Plan Leap into Data
>>
>> By
>>
>> MELISSA
>> KORN<http://online.wsj.com/search/term.html?KEYWORDS=MELISSA+KORN&bylinesearch=true>and
>> SHARA
>> TIBKEN<http://online.wsj.com/search/term.html?KEYWORDS=SHARA+TIBKEN&bylinesearch=true>
>>
>> Aug 4, 2011
>>
>> Faced with an increasing stream of data from the Web and other electronic
>> sources, many companies are seeking managers who can make sense of the
>> numbers through the growing practice of data analytics, also known as
>> business intelligence. Finding qualified candidates has proven difficult,
>> but business schools hope to fill the talent gap.
>>
>> This fall several schools, including Fordham University's Graduate School
>> of Business and Indiana University's Kelley School of Business, are
>> unveiling analytics electives, certificates and degree programs; other
>> courses and programs were launched in the previous school year.
>>
>> International Business
>> Machines<http://online.wsj.com/public/quotes/main.html?type=djn&symbol=ibm>Corp.,
>> which has invested more than $14 billion buying analytics industry
>> companies such as Coremetrics and Netezza Corp. since 2005, has teamed up
>> with more than 200 schools, including Fordham, to develop analytics
>> curriculum and training.
>>
>> "The more students that graduate knowledgeable in areas we care about, the
>> better it is not just for our company but the companies we work with,"
>> said
>> Steve Mills, IBM senior vice president and group executive of software and
>> systems. "It really comes down to what clients and customers need most."
>> Data analytics was once considered the purview of math, science and
>> information-technology specialists......
>>
>>
>> On Tue, Aug 16, 2011 at 12:07 AM, ziaimran <zia.imran@gmail.com> wrote:
>>
>> **
>>
>> AA,
>>
>> Since on a recent exchange of ideas, there was mention of huge amounts of
>> data analysis as one of the key areas for the country, I would like to
>> point
>> out that R programming language is a very useful tool and there are a
>> whole
>> slew of associated tools developed in specific verticals to do data
>> analysis
>> using R. Its relevance is mostly for statistical analysis but it also has
>> been used in conjunction with data mining tools.
>>
>> More information can be gleaned from,
>>
>> http://en.wikipedia.org/wiki/R_%28programming_language%29
>>
>> BTW R was invented by a professor at University of Auckland in New
>> Zealand.
>>
>> Regards,
>>
>> Zia Imran
>>
>>
>>
>>
>>
>>
>

--
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Best regards,
Ahmed Muaz

Mobile:+92-321-4205074

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