Introduction to Python
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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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.Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.In the following Tracks
Python Data Fundamentals
Go To Track- 1
Python Basics
FreeAn 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.
- 2
Python Lists
Learn to store, access, and manipulate data in lists: the first step toward efficiently working with huge amounts of data.
Python Lists50 xpCreate a list100 xpCreate lists with different types100 xpList of lists100 xpSubsetting Lists50 xpSubset and conquer100 xpSlicing and dicing100 xpSubsetting lists of lists100 xpManipulating Lists50 xpReplace list elements100 xpExtend a list100 xpDelete list elements100 xpInner workings of lists100 xp - 3
Functions and Packages
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!
- 4
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.
NumPy50 xpYour First NumPy Array100 xpBaseball players' height100 xpNumPy Side Effects50 xpSubsetting NumPy Arrays100 xp2D NumPy Arrays50 xpYour First 2D NumPy Array100 xpBaseball data in 2D form100 xpSubsetting 2D NumPy Arrays100 xp2D Arithmetic100 xpNumPy: Basic Statistics50 xpAverage versus median100 xpExplore the baseball data100 xp
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.In the following Tracks
Python Data Fundamentals
Go To Trackcollaborators
Hugo Bowne-Anderson
See MoreData Scientist
Hugo is a data scientist, educator, writer and podcaster formerly at DataCamp. His main interests are promoting data & AI literacy, helping to spread data skills through organizations and society and doing amateur stand up comedy in NYC. If you want to know what he likes to talk about, definitely check out DataFramed, the DataCamp podcast, which he hosted and produced.
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