Course

Introduction to Python for Data Engineering

Knowing how to write code using Python is one of the most sought-after skills for data engineers. In this course, you will learn the fundamentals of programming with Python for data engineers — no previous coding experience is necessary. By the end of the course, you will be able to write basic Python programs.

Enroll for free

Part of the Data Engineer (Python) path.

4.8 (359 reviews)

46,564 learners enrolled in this course.

Beginner friendly
4 hours
Self paced
4 lessons

“I wouldn’t be where I was without Dataquest. Be confident in what you learn with Dataquest. If you take the time to learn, you will be one of the few people in the world that can do what you do.”

Vicknesh Mano

Data Science Manager @Accenture

Introduction to Python for Data Engineering

Enroll For Free

Course overview

This Python course for beginners teaches Python fundamentals and helps you take your first steps to becoming a successful data engineer.

In this course, you’ll learn to 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 data and text data
Performing basic Python operations such as creating variables and lists
Analyzing data using for loops
Writing conditional statements and using comparison operators

Course outline

Introduction to Python for Data Engineering [4 lessons]

Programming in Python 1h

Lesson Objectives

Define a computer program
Write computer programs
Perform arithmetical operations in Python
Employ code comments

Variables and Data Types 1h

Lesson Objectives

Save values using variables
Update variables
Process numerical data
Process text data

Lists and For Loops 2h

Lesson Objectives

Employ lists in Python
Employ lists of lists in Python
Open a dataset stored on a file using Python
Analyze data using for loops

Conditional Statements 2h

Lesson Objectives

Employ if, else, and elif statements
Employ logical operators
Employ comparison operators

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.

98%

of learners recommend

Dataquest for career advancement

4.9

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$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!”