Upcoming Course

Cohort 2021: June 01 to June 30, 2021

Python for Data Science

Gain a great mastery of the Python language by learning the syntax fundamentals, programming logic and the coding best practices. 

Exercises and Projects

You will learn python through an active approach where you have to work on numerous exercises and projects directly on the Jupyter online access.

Exam and certificate

You will take challenge labs. These labs are graded automatically and certificate are awarded when challenge labs are passed with 60% or above score

We begin by learning how to create ‘basic’ types such as booleans, integers, and floats.

You will learn how to use arithmetic, comparison, and boolean operators to manipulate the operands.

This chapter will go over the basic types of variables in python.

In this chapter you will learn to create, format, modify and delete strings in Python. Also, you will be introduced to various string operations and functions.

Lists are an important data structure used frequently in most python programs and are mutable (able to be changed).

You will learn how to create a range with its constructor and then learn how to create all of the previous types covered their own constructor.

You wil learn how to control the execution of instructions in a python program through the conditional statements and loops

Functions are a convenient way to divide your code into useful blocks. This chapter wil teach the best practices for writing functions in python.

Learn Python Lists, Python sets,Python tuple and Python dictionary with their examples & syntax.

This chapter will introduce you to the object-oriented programming with python. You will learn how to create classes an objects as well as importing and using modules.