13 Advantages of R over Excel in Data Analytics

R holds a significant edge over Excel as far as analysis of data is concerned. Though indeed the number of uses of R programming is less than the utilities of MS Excel it outshines the latter when it comes to the sheer power of conducting analysis and the handling and manipulation of data. Watch this presentation to know more why R holds sway over Excel in the world of Big Data and analytics.

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Why your career change must involve Big Data?

Big Data

• The numbers of smart phone users are increasing day-by-day. There are 4.6 million new smart phone connections with GPS and internet connectivity subscriptions daily, worldwide. Hence, even bigger Big Data! This monumental volume of data will have various useful trends and patterns waiting to be discovered and unfolded for giving us a better understanding of human preferences, business necessities and even about our place in the universe.

Analysts & data modelers

• FaceBook has 1.06 billion users active in a month with more than 30 million content sharing done in 30 days! Companies will need investigative eyes of Analysts & data modelers. Due to this growing need for data scientists many IT professionals are thinking of making their career move with Big Data.

SAS Analyst

• Companies which apply advanced analytics to evaluate their data earn 33% more revenue. Thus, SAS business analysts will be an irreplaceable asset to firms. Data analysis tools that were only restricted to corporate biggies like Google and Amazon are now available readily for companies of all sizes to utilize and gather knowledge from data analysis.

R Programmers

• 64% more companies will hire data analysts to outperform their competition. The demand for R programmers will be in hyper-drive in the job market for a few years now. The world of data science as described by most industry experts is a young man’s world, thus, there will be greater openness for newbie pros who have an unquenchable thirst for learning new skills.

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