Owing to rapid advances in digital technology data generation capacity of the world has increased to several zettabytes. Thus, business organizations too have to come up with advanced technologies to acquire, store and process massive volumes of data. Thus, the role of data scientists has also become indispensable.<\/p>\n

The demand for data scientists will increase by 28% within 2020- according to a study by IBM!<\/strong><\/p>\n

Data science is now applied to a variety of fields such as the health care system, fraud detection, intelligence gathering, sports research and many more. Eventually the demand for data scientists has also increased at a phenomenal rate making it a very lucrative career opportunity for many who desire high paying jobs and aspire to grow uninterrupted.<\/p>\n

However, Data science is a complicated field requiring expertise in STEM subjects and most importantly Data science aspirants must be adept in using High level programming languages. In this regard it is very important to discuss whether a Python data science<\/strong><\/a> course is beneficial!<\/p>\n

Popularity of Python!<\/strong><\/p>\n

Over the last few years Python\u2019s popularity has risen significantly. In 2016, it topped the charts of O\u2019Reily survey which reported over 54% data scientists using Python. TIOBE has been continuously reporting the rise of Python\u2019s popularity. Kaggle surveyed 16000 data scientists and found out that over 87% of the participants use Python for data science regularly. Another interesting observation was made by Quartz that Stack Overflow saw more than 1million unique visitors querying about Panadas (a popular Python library) in October 2017 alone!<\/p>