More than 250+ langauges are out there in the market. Choosing which language to learn is quite difficult. Generally, Data enthusiasts gets confused between R and Python. In order to decide on the language, Let’s look at the survey done by Analytics India Magazine in 2019. It tells the preferred programming language by recruiters. As it clearly says, the demand for Python professionals is the highest among all analytics recruiters. Almost 17% of all advertised analytics jobs in India demand for Python as a core skill whereas 16% demand Java. 8 out of 10 data scientists would recommend Python as the prime language. Python is easy to learn and widely-accepted programming language. So, I hope now you would have made your mind to start with Python. Not yet ? Ok, Let me try with my experience. Personally, I have 3+ years of experience in R and Python. Visual Studio with python plugin is one of the application always stay open in my laptop. Both R and Python have their own strength and weaknesses. It will depend on the use-case for which you are using them. Here is the difference R and Python which can help you in making decision. or Being a Data Scientist, One has to deliver projects end-to-end,starting from identifying the problem, collecting data related to the problem, performing data cleaning and exploratory data analysis, then building models and finally deplyment. I would recommend Python. If still struggling, buddy you know how to google. Please ping me on my Linkedin, personally I would hear your hesitation. Now once you have decided on the language you want to learn, Next step would be to learn programming fundamentals. Topics you have to cover: • Language fundamental syntax. • Data Types and Data Structured • Control Structure — if-else statement, Loops, User defined functions • OOPs Concepts • Module Creation, Exception Handling