Course

Introduction to Python Programming

Python is one of the most widely used programming languages, and knowing how to use it is a highly sought-after skill if you want a career as a data professional. In this course, you will learn the fundamentals of programming with Python – no previous coding experience is necessary. By the end of the course, you will be able to write basic Python programs.

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Part of the Data Analyst in Python, and Data Scientist paths.

4.8 (359 reviews)

162,302 learners enrolled in this course.

Beginner friendly
3 hours
Self paced
4 lessons

“Getting a data science job would have been much harder without Dataquest. It’s a great product. I still recommend it to anyone who asks me about how to get started.”

Adam Zabrodski

Data Science Manager @Later

Introduction to Python Programming

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Course overview

This interactive Python course for beginners develops fundamental data science skills to help you begin your journey to become a successful data professional.In this course, you’ll learn to do basic arithmetic; write code using Python syntax; work with different types of data; and perform basic Python operations such as working with variables, processing numerical and text data, and manipulating lists.

Best of all, you’ll learn by doing — you’ll write code and get feedback directly in the browser.

Key skills

Processing numerical and text data
Performing basic Python operations such as creating variables and lists
Processing numerical data and text data
Writing computer programs using Python

Course outline

Introduction to Python Programming [4 lessons]

Python Programming 1h

Lesson Objectives

Write computer programs in Python
Print values
Perform arithmetical operations
Employ code comments

Programming Python Variables 1h

Lesson Objectives

Save values using variables
Update variables
Employ syntax shortcuts to update variables

Python Data Types: Integers, Floats, Strings 1h

Lesson Objectives

Process numerical data
Process text data
Convert data types

Python Lists 2h

Lesson Objectives

Employ lists in Python
Index and slice lists
Retrieve values from lists
Employ lists of lists in Python

The Dataquest guarantee

Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.

We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.

Master skills faster with Dataquest

Go from zero to job-ready

Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.

Build your project portfolio

Build confidence with our in-depth projects, and show off your data skills.

Challenge yourself with exercises

Work with real data from day one with interactive lessons and hands-on exercises.

Showcase your path certification

Impress employers by completing a capstone project and certifying it with an expert review.

Grow your career with
Dataquest.

97%

of learners recommend

Dataquest for career advancement

4.9

Dataquest rating on

G2Crowd and SwitchUp

$30k

Average salary boost

for learners who complete a path

Aaron Melton

Business Analyst at Aditi Consulting

“Dataquest starts at the most basic level, so a beginner can understand the concepts. I tried learning to code before, using Codecademy and Coursera. I struggled because I had no background in coding, and I was spending a lot of time Googling. Dataquest helped me actually learn.”

Jessica Ko

Machine Learning Engineer at Twitter

“I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing then watching videos and it made me want to keep learning.”

Victoria E. Guzik

Associate Data Scientist at Callisto Media

“I really love learning on Dataquest. I looked into a couple of other options and I found that they were much too handhold-y and fill in the blank relative to Dataquest’s method. The projects on Dataquest were key to getting my job. I doubled my income!”