This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.

Upon its completion, you'll be able to write your own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment. If you want to learn Python from scratch, this course is for you.

COURSE SYLLABUS

Module 1 - Python Basics

Your first program
Types
Expressions and Variables
String Operations

Module 2 - Python Data Structures

Lists and Tuples
Sets
Dictionaries

Module 3 - Python Programming Fundamentals

Conditions and Branching
Loops
Functions
Objects and Classes

Module 4 - Working with Data in Python

Reading files with open
Writing files with open
Loading data with Pandas
Working with and Saving data with Pandas

Module 5 - Working with Numpy Arrays and Simple APIs

Numpy 1D Arrays
Numpy 2D Arrays
Simple APIs
API Setup

GENERAL INFORMATION

This course is self-paced.
It can be taken at any time.
It can be audited as many times as you wish.
There is only ONE chance to pass the course, but multiple attempts per question

RECOMMENDED SKILLS PRIOR TO TAKING THIS COURSE

Basic Math

Python for Data Science

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