Python is a general purpose programming language. Now a days python is one of the best choice for machine learning application development. This course focuses on applications of python programming for data science applications.Companies worldwide are using Python to harvest insights from their data and gain a competitive edge.In our Introduction to Python course, you’ll learn about powerful ways to store and manipulate data, and helpful data science tools to begin conducting your own analyses.In this course we we have provided theory as well as lab practice session. For executing the python programs we have used Google colab.

This course is divided into 5 chapters

Chapter 1: Introduction to Python Programming.

An introduction to the basic concepts of Python. Learn how to use Python interactively and by using a script. Create your first variables and acquaint yourself with Python's basic data types.

Chapter 2: Lists

Learn to store, access, and manipulate data in lists: the first step toward efficiently working with huge amounts of data.

Chapter 3: Control Statements

Learn use of if, for and while statements

Chapter 4: Functions

You'll learn how to use functions, methods, and packages to efficiently leverage the code that brilliant Python developers have written. The goal is to reduce the amount of code you need to solve challenging problems!

Chapter 5: Numpy NumPy is a fundamental Python package to efficiently practice data science. Learn to work with powerful tools in the NumPy array, and get started with data exploration.