Introduction
Data Science is considered as a professional field that includes the process of extracting the knowledge using the data. There are lots of elements like computer science, mathematics, statistics and data analysis; all of them are meant for developing the models. The ideal models are meant for creating the processes, designing advanced systems and exploring the theories in a better way. Data Science has created a new world of opportunities and make you see the ‘big picture’ of data.
Datascience using Python:- Python is one of the most powerful and flexible programming languages that is easy-to-learn. Organizations widely use Python due to its powerful libraries for data mining and analysis. Organizations such as Google, Citi, Toyota, BuzzFeed, and many others are using Python extensively.
Datascience using R: There are several IT giants and other big organizations that use the R programming language for their organization. It is the most effective programing language when it comes to statistical computing and graphics. Social media giants such as Facebook and Twitter use R. Also, organizations such as the New York Times and Bank of America also use this programing language.
Datascience using Python:- Python is one of the most powerful and flexible programming languages that is easy-to-learn. Organizations widely use Python due to its powerful libraries for data mining and analysis. Organizations such as Google, Citi, Toyota, BuzzFeed, and many others are using Python extensively.
Datascience using R: There are several IT giants and other big organizations that use the R programming language for their organization. It is the most effective programing language when it comes to statistical computing and graphics. Social media giants such as Facebook and Twitter use R. Also, organizations such as the New York Times and Bank of America also use this programing language.