Master the basics of data analysis in Python. Expand your skillset by learning scientific computing with NumPy. In our Introduction to Python course, you’ll learn about powerful ways to store and manipulate data, and helpful data science tools to begin conducting your own analyses. Start DataCamp’s online Python curriculum now.
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Python is a general-purpose programming language that is becoming ever more popular for data science. Companies worldwide are using Python to harvest insights from their data and gain a competitive edge. Unlike other Python tutorials, this course focuses on Python specifically for data science.
Chapter 1: Python Basics
An introduction to the basic concepts of Python. Learn how to use Python both interactively and through a script. Create your first variables and acquaint yourself with Python's basic data types.
Chapter 2: Python Lists
Learn to store, access and manipulate data in lists: the first step towards efficiently working with huge amounts of data.
Chapter 3: Functions and Packages
To leverage the code that brilliant Python developers have written, you'll learn about using functions, methods and packages. This will help you to reduce the amount of code you need to solve challenging problems!
Chapter 4: Numpy
Numpy is a Python package to efficiently do data science. Learn to work with the Numpy array, a faster and more powerful alternative to the list, and take your first steps in data exploration.
