SAS or R or Python, from where do should I start? This is the most common question that every aspirant face while entering the world of Data Analytics. Whether you are a newbie or an experienced player in the field of data analytics, you must have encountered a fair share of discussions on the right analytical tools needed for a Data Scientist.
Analytics market in the recent times has grown at a double speed, and today, the analytics software market is having numerous players – ranging from billion dollar companies to a single person operated shops and businesses – offering sophisticated and custom-based solutions to varied communities. As the analytics field continues to grow, new tools and technologies have started emerging in the market, causing the business analysts to master them for better career options.
Today, different analytical tools are available in the market, but the major competition is observed between R, Python, and SAS.
As experts have started drawing analytics tools comparisons, many analytics aspirants have gone ambiguous of choosing which tool to master first.
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