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Introduction to Python

BeginnerSkill Level
4.8+
2,298 reviews
Updated 05/2025
Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.
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PythonProgramming4 hours11 videos46 Exercises3,900 XP6,233,471Statement of Accomplishment

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Course Description

An Introduction to Python

Python has grown to become the market leader in programming languages and the language of choice for data analysts and data scientists. Demand for data skills is rising because companies want to gain actionable insights from their data.

Discover the Python Basics

This is a Python course for beginners, and we designed it for people with no prior Python experience. It is even suitable if you have no coding experience at all. You will cover the basics of Python, helping you understand common, everyday functions and applications, including how to use Python as a calculator, understanding variables and types, and building Python lists. The first half of this course prepares you to use Python interactively and teaches you how to store, access, and manipulate data using one of the most popular programming languages in the world.

Explore Python Functions and Packages

The second half of the course starts with a view of how you can use functions, methods, and packages to use code that other Python developers have written. As an open-source language, Python has plenty of existing packages and libraries that you can use to solve your problems.

Get Started with NumPy

NumPy is an essential Python package for data science. You’ll finish this course by learning to use some of the most popular tools in the NumPy array and start exploring data in Python.

Prerequisites

There are no prerequisites for this course
1

Python Basics

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2

Python Lists

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3

Functions and Packages

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Introduction to Python
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*4.8
from 2,298 reviews
83%
16%
2%
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  • Sermane
    4 minutes

    A perfect introduction to Python for data beginners. This course is incredibly well-structured, interactive and easy to follow. It covers essential programming concepts, NumPy basics, and data manipulation with clear examples and practice exercises. I particularly appreciated the hands-on approach and the focus on real-life data cases. Highly recommended for anyone starting in data or coding.

  • Erfan
    about 2 hours

    very easy to understand and great for beginners

  • Madhav
    about 2 hours

  • Andres
    about 12 hours

  • siddhant
    about 5 hours

    This is truly impressive and offers a great hands-on experience! As someone who rarely writes notes, I find the daily check-in notes feature to be an absolute game-changer. Absolutely loving it!

  • Abigail
    about 12 hours

    Generally helpful, but hints are sometimes confusing.

"very easy to understand and great for beginners"

Erfan

Madhav

Andres

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