Data Engineering Courses
Do you want to change careers or learn a new skill? Our data engineering courses provide everything you need to go from beginner to fully qualified in only a few months.
Plus, we make learning data engineering fun. Instead of boring videos, we teach with interactive coding exercises and fun projects that will impress potential employers.
Dataquest has upskilled teams at
All-in one courses to become a data engineer
- 22 courses
- 14 projects
Courses included in this path:
Part 1: Introduction to Python [4 courses]
- 4 hours
- 4 lessons
- 7 hours
- 5 lessons
- 6 hours
- 4 lessons
- 4 hours
- 4 lessons
Part 2: Introduction to Algorithms [1 course]
- 8 hours
- 6 lessons
Part 3: The Command Line and Git [4 courses]
- 4 hours
- 5 lessons
- 4 hours
- 5 lessons
- 3 hours
- 7 lessons
- 4 hours
- 5 lessons
Part 4: Working with Data Sources Using SQL [5 courses]
- 2 hours
- 4 lessons
- 3 hours
- 4 lessons
- 1 hour
- 1 lesson
Part 5: Production Databases [2 courses]
- 8 hours
- 7 lessons
- 5 hours
- 5 lessons
Part 6: Handling Large Data Sets in Python [5 courses]
- 4 hours
- 5 lessons
- 5 hours
- 7 lessons
- 5 hours
- 5 lessons
- 4 hours
- 6 lessons
- 6 hours
- 8 lessons
Part 7: Data Pipelines [1 course]
- 4 hours
- 5 lessons
Data Analysis Courses
- 4 courses
- 3 projects
- Beginner friendly
- 4 courses
- 4 projects
- Beginner friendly
- 5 courses
- 4 projects
- Beginner friendly
- 5 courses
- 3 projects
- Beginner friendly
Data Visualization Courses
- 7 courses
- 6 projects
- Beginner friendly
- 4 courses
- 3 projects
- Beginner friendly
- 1 course
- 1 project
- Intermediate friendly
SQL Courses
- 5 courses
- 1 project
Courses included in this path:
Part 1: Fundamentals of SQL [5 courses]
- 2 hours
- 4 lessons
- 4 hours
- 7 lessons
- 3 hours
- 4 lessons
- 3 hours
- 4 lessons
- 6 hours
- 6 lessons
Data Cleaning Courses
- 9 courses
- 8 projects
Courses included in this path:
Introduction to Python [5 courses]
- 3 hours
- 4 lessons
- 5 hours
- 4 lessons
- 4 hours
- 4 lessons
- 6 hours
- 4 lessons
- 6 hours
- 4 lessons
Part 2: Intermediate Python and Pandas [2 courses]
- 13 hours
- 7 lessons
- 8 hours
- 6 lessons
Part 3: Data Cleaning in Python [3 courses]
- 11 hours
- 6 lessons
- 9 hours
- 4 lessons
- 7 hours
- 6 lessons
APIs and Web Scraping
- 1 course
Courses included in this path:
Part 1: APIs and Web Scraping with Python [1 course]
- 4 hours
- 4 lessons
Probability and Statistics Python Courses
- 12 courses
- 11 projects
Courses included in this path:
Part 1: Python Introduction [5 courses]
- 3 hours
- 4 lessons
- 5 hours
- 4 lessons
- 4 hours
- 4 lessons
- 6 hours
- 4 lessons
- 6 hours
- 4 lessons
Part 2: Data Analysis and Visualization [2 courses]
- 13 hours
- 7 lessons
- 8 hours
- 6 lessons
Part 3: Data Cleaning with Python [1 course]
- 11 hours
- 6 lessons
Part 4: Probability and Statistics with Python [5 courses]
- 9 hours
- 6 lessons
- 8 hours
- 6 lessons
- 4 hours
- 5 lessons
- 6 hours
- 5 lessons
- 4 hours
- 4 lessons
Probability and Statistics R Courses
- 12 courses
- 11 projects
Courses included in this path:
Part 1: Probability and Statistics with R [5 courses]
- 5 hours
- 7 lessons
- 3 hours
- 6 lessons
- 1 hour
- 5 lessons
- 2 hours
- 5 lessons
- 1 hour
- 5 lessons
Our learners achieve their career goals
Christian L’Heureux
Analytics Manager
“Dataquest teaches me everything I need to know without the $50,000 degree. It’s self-paced, and I love learning by doing. It took away the guesswork of trying to learn by myself.”
Caitlin Whitlock
Research Scientist
“I like the way Dataquest is set up. On other platforms, I was wasting a lot of time searching for the specific information, but because of Dataquest’s paths, it was easy for me to learn what I needed in a logical sequence. Dataquest is pre-curated and super awesome.”
Christian L’Heureux
Analytics Manager
“Dataquest was an enormously helpful tool for me to develop my data analyst skills, and I credit it with getting me the job I have today. After trying DataCamp and Codecademy, I found Dataquest. I like the way Dataquest is structured, how each course is broken down. The project focus is a great way to make everything sink in.”
Enroll in data engineering courses, risk free
We offer two guarantees. A 14-day, money-back guarantee, so that you can test-drive our entire platform without risk, and an ironclad satisfaction guarantee on our career paths. That means if you complete a career path and aren’t satisfied with your results, we’ll give you a full refund.
With Dataquest, there’s nothing to lose and everything to gain.
The Dataquest Way
Learn by writing code, not by watching videos
Video tutorials and “fill-in-the-blank” coding lessons just don’t work. Our lessons challenge students to rapidly apply what they learn using real code.
Build a project portfolio
Hiring managers are sharp, so basic projects just won’t cut it. Thankfully, our projects are comprehensive and use real datasets. They perfectly showcase your skills and will make you stand out.
Save time by learning only what you need to know
Navigating the best learning path is difficult, but Dataquest makes it simple. Our career paths will teach you everything you need to be fully qualified.
Show off your skills with a data engineering certificate
Our data engineering certifications will help build your resume, maintain peak motivation, and give you something to show off on LinkedIn.
FAQs about data engineering
How do I start learning data data engineering?
With Dataquest, learning data engineering takes three simple steps.
Step 1: Select your learning path. Explore the different data roles, and determine which one is right for you. Pick a path, and complete your first course for free.
Step 2: Establish a learning habit. Learners who spend 5 or more hours a week are able to reach their desired outcome (97% of the time).
Step 3: Showcase your skills. Use the projects you’ll build on Dataquest to impress recruiters and grow your career.
Can I learn data engineering in 1 year?
Absolutely! Our data engineering career path can be completed in 5 months, depending on how many hours you commit per week.
Is it hard to learn data engineering?
Learning data engineering can be hard, but it doesn’t have to be. To make it easy, there are three things that you must have:
- A platform that guides you on what to learn and when.
- Fun data science projects that keep you highly motivated and help you apply what you learn using real code.
- A vibrant community to help you when you get stuck.
Thankfully, Dataquest has all of these things!
Do I need a degree to become a data engineer?
Absolutely not! They may help, but they are not necessary. During the hiring process, an employer is trying to determine if you can actually do the job. As a result, a well-built data science project portfolio is a much better credential than education.
Thankfully, Dataquest has tons of high-quality projects you can add to your portfolio.
What’s the easiest way to learn data engineering?
While we may be a bit biased, we think the easiest and best way to learn how to become a data engineer is with Dataquest. Our data science and data engineering courses are built by experts, designed for beginners, and made with employers’ hiring conditions in mind.
Plus, unlike data science bootcamps or certification programs, our subscription is very affordable.
Achieve your career goals
Join the millions of learners who used Dataquest to advance or change their career. With our 14-day money-back guarantee and free trial, you have absolutely nothing to lose by giving our platform a test drive.
Here’s how to get started. First, click the button below to sign up for a free account. Next, choose a path that aligns with your goals. Then, you’ll begin your first course and start learning! It’s that simple.
