Python is a popular general purpose programming language used for both large and small-scale applications. Python’s wide-spread adoption is due in part to its large standard library, easy readability and support of multiple paradigms including functional, procedural and object-oriented programming styles. This Course follows pragmatic approach to tackle end-to-end data science project cycle right from extracting data from different types of sources to exposing your machine learning model as API endpoints that can be consumed in a real-world data solution.

This course will not only help you to understand various data science related concepts, but also help you to implement the concepts in an industry standard approach by utilizing Python and related libraries.

Targeted Audience
Students having prior knowledge of some programming experience and interested to choose their career as Data Scientist or Python Developers.