Python is an open-source (free), general-purpose (unlimited), programming language which is the most popular for doing data science. Many companies and businesses are now using Python to gain insights from their data, which helps them to have competitive advantage. This course will take a practical approach by using codes written in Jupyter notebooks (a tool that most Data Scientists use on a daily basis) to teach you how to program with Python with the focus on doing data science.
Basics of Python Programming
Basics of Python Programming
This module will help you to get familiar with the fundamentals of Python programming that you will need to do Data Science.
In this module, you will learn that:
- Computer programs operate on data.
- Variables are used to store data in Python.
- There are rules of naming these variables.
- Different data have different types in Python.
- There are built-in data types in Python including basic and collection data types.
- Ints, floats, Booleans and strings are the basic data types.
- Python data types can be acted upon with functions such as 'print( )' and 'type( )'.
- Order of mathematical operations remains the same in Python.
- Data of the same type can be compared with comparison operators.
- Boolean variables are True or False and can be acted upon by logical operators.
- Strings are sequences of characters and they can be manipulated.
You will receive links to download this course in zip format during Checkout, along with an emailed link that will last for 30 days.