Python Courses
Do you want to change careers or learn a new skill? Our Python courses provide everything you need to go from beginner to fully qualified in only a few months.
Plus, we make learning Python fun. Instead of boring videos, we teach with interactive coding exercises and fun projects that will impress potential employers.
Dataquest has upskilled teams at
Launch a career with Python
- 15 courses
- 8 projects
- Beginner friendly
Gain the Power BI skills you need to start a career as a business analyst. In this path, you will learn practical SQL, Excel, and Power BI skills. By the end, you will know how to analyze data, communicate insights, and make data-driven decisions.
- 27 courses
- 17 projects
- Beginner friendly
Gain the practical Python skills that will help you land your first job as a data analyst — or help you grow your career by adding one of the most popular programming languages to your CV. By the end, you’ll be able to manage the entire analysis process from preparing data to presenting insights through data visualization.
- 22 courses
- 14 projects
- Beginner friendly
Get all the skills and knowledge you need to become a data engineer. You’ll learn how to work with data architecture, data processing, and data systems. By the end, you’ll be able to build a unique data infrastructure, manage data pipelines and data processing, and maintain data systems.
- 38 courses
- 26 projects
- Beginner friendly
Gain the Python skills you need to start and grow your career as a data scientist. You’ll learn to create data visualizations, perform web-scraping, build machine learning algorithms, and much more. By the end, you’ll be able to analyze datasets, help make business decisions, and use machine learning to solve complex problems.
Data Analysis in Python Courses
- 4 courses
- 3 projects
Courses included in this path:
Part 1: Python Basics for Data Analysis [5 courses]
- 3 hours
- 4 lessons
- 5 hours
- 4 lessons
- 4 hours
- 4 lessons
- 6 hours
- 4 lessons
- 6 hours
- 4 lessons
Data Visualization in Python Courses
- 7 courses
- 6 projects
Courses included in this path:
Part 1: Python Basics for Data Analysis [5 courses]
- 3 hours
- 4 lessons
- 5 hours
- 4 lessons
- 6 hours
- 4 lessons
- 6 hours
- 4 lessons
Part 2: Data Analysis and Visualization with Python [3 courses]
- 13 hours
- 7 lessons
- 8 hours
- 6 lessons
- 5 hours
- 5 lessons
Machine Learning in Python Courses
- 7 courses
- 7 projects
Courses included in this path:
Part 1: Machine Learning In Python [7 courses]
- 8 hours
- 5 lessons
- 5 hours
- 5 lessons
- 4 hours
- 5 lessons
- 3 hours
- 4 lessons
- 3 hours
- 5 lessons
- 5 hours
- 5 lessons
- 4 hours
- 6 lessons
Data Cleaning with Python
- 9 courses
- 8 projects
Courses included in this path:
Part 1: 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 with Python
- 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]
- 8 hours
- 6 lessons
- 8 hours
- 6 lessons
- 4 hours
- 5 lessons
- 6 hours
- 5 lessons
- 4 hours
- 4 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 Python 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 Python certificate
Our Python certifications will help build your resume, maintain peak motivation, and give you something to show off on LinkedIn.
FAQs about Python
How do I start learning Python?
With Dataquest, learning Python 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 science in 1 year?
Absolutely! Most of our career paths that use Python can be completed in 2-8 months, depending on how many hours you commit per week.
Is it hard to learn Python?
Learning Python 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 Python 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!
What’s the easiest way to learn Python?
While we may be a bit biased, we think the easiest and best way to learn Python is with Dataquest, especially for data science. Our Python courses are built by experts, designed for beginners, and made with employers’ hiring conditions in mind.
Plus, unlike Python 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.
