The answer to this question depends.
R is built for data analysis. It is very rich in data analysis, munging and visualization. It has a wide variety of 3rd party packages for lots of things in various domains.
Python is a general-purpose programming language. It can be applied to various tasks and one of them is data science.
Also, many R functionalities/packages were getting ported to Python. One well-known package in Python Pandas. This package provides a lot of utilities for data analysis. There many other packages that are ported to Python. If available Python packages are sufficient for your work, you can choose Python over R. The advantage is that you can use Python for many other things in addition to data science. If you are a beginner and want to know more about Python and R programming language then do refer the following video tutorials:
If you want to know more about Data Science then do check out our Data Scientist which will help you in learning Data Science from scratch:
And if you are more into videos then you can check out this video tutorial which will help you in learning Data Science from the beginning:
And if you are beginner and more into reading blogs then you can check out this blog which will provide you a brief introduction to Data Science.
Back