Is Python enough for Data Science?

Without doubt, data science is one of the “sexiest” careers in this century. The growth has been phenomenal in the last decade. A data scientist is required to collate and analyse data through various means such as Machine learning, Transfer learning, etc. The models used in data science, are ultimately used to decipher a pressing business problem to generate greater turnover or calculate trends

When data science is being mentioned, one programming language comes to everyone’s mind which is Python. Python’s immanent readability and lucidity has made it relatively easy to use, and the number of dedicated analytical libraries on it can be utilized easily when creating models in dealing with Data Science.

The big question is if Python is enough for Data Science. Well the answer is NO! With the usage of SQL, data science could be enjoyed more. What is SQL? Structured Query Language (SQL) is a computer language for querying, storing, manipulating, and retrieving data stored database, allowing for ease in embedding, within other languages using SQL modules & libraries for data modelling. A good understanding of SQL can set you apart from all those who’ve only focused on the fashionable parts of data-science.

SQL is so important, because it is used today by anyone involved in programming or who uses a database to collect and organize information, and being in the Data Science field where dealing with Databases is a norm, SQL would come in handy. Understanding the foundation of Data science is needed as it gives you a solid understanding of relational databases. SQL will help you to scrutinize your dataset to identify the structure and get to know how your dataset looks like, while working towards your end goal. SQL has this capacity to manage large datasets and ensures the ease in the administration of pools of data in relational databases. SQL is also highly marketable; having a good proficiency in SQL ranks higher than some other programming languages when trying to get some Data Science gigs.

If thinking just Python is enough, its about time to have a rethink and check out SQL. A good number of tutorials are available over the internet to help with the learning process.