Python, SAS or R: Which is Better and Why?

In data analytics, Python, R and SAS are the three most significant languages to excel at. If you are a novice in this field, you need to be acquainted with these 3 programming languages as soon as possible. 

Introduce yourself to the languages:

R programming – R is an open source programming language and the lingua franca of statistics.

Python – Python has become very popular of late. It is a multi-purpose, open source programming language used extensively in data mining.

SAS – SAS is at present the undisputed market leader in the world of analytics. It offers incredible tech support and boasts of a wide array of statistical functions.

Take a look at these factors before deciding which language to choose:

Which industry absorbs which tool the most?

SAS – 39%

R – 42%

Python – 20%

While SAS is widely preferred by big companies, where the budget poses no issue, startups or small companies rely mostly on R and Python.

What to learn and at what cost?

SAS language is undoubtedly expensive and largely used for commercial purposes by conglomerates. Whereas, R and Python are free software used by anyone.

Which one scores high in data science capabilities?

For sequential data access and for database access through SQL, SAS is the ultimate language to learn. For in-memory analytics, R is great. It is a great tool to explore data. Second to R, Python is the popular programming language to get a good grip on data science.

To walk towards an excellent future, take up an R programming course in Gurgaon with DexLab Analytics. Visit the website for full course details.