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Python Courses
These Python courses teach essential syntax, data structures, and libraries like pandas and NumPy through interactive coding exercises. You’ll write scripts to automate tasks, clean data, and build robust applications from scratch.
1M+ learners
Hands-on projects
No credit card required
4.8
Recommended Path for Beginners
Start your python journey with these expert-curated learning paths.
Data Scientist (Python)
Analyze complex datasets and build predictive models by applying statistics and machine learning to deliver end-to-end data science solutions.
38 courses
26 projects 435k
Data Engineer (Python)
Design, build, and automate reliable data pipelines with Python, SQL, and cloud-ready tooling for production workloads.
29 courses
12 projects 121.2k
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Explore All Python Courses
Prompting Large Language Models in Python
Examine real-world applications of large language models by designing prompts, managing context, and building AI-driven workflows in Python.
8 hours
2k
Designing Dynamic Python Applications with Streamlit
Design interactive Python applications with Streamlit by creating dynamic interfaces, managing state, and integrating LLM-powered chat features.
4 hours
1.8k
Tooling Essentials for Python Users
Explore essential tooling specifically tailored for Python enthusiasts through practical drills that stick.
6 hours
892
Intermediate Python
Advance your Python development skills by using object-oriented programming, decorators, regular expressions, and error handling in real projects.
6 hours
1.7k
Basic Operators and Data Structures in Python
Strengthen Python fundamentals by using loops, conditional logic, operators, and dictionaries to manipulate data and construct frequency tables.
5 hours
78.1k
Python Functions and Jupyter Notebook
Create reusable Python functions and run analyses in Jupyter Notebook to organize code, debug logic, and complete portfolio-ready data projects.
7 hours
80.2k
Python Dictionaries, APIs, and Functions
Structure Python programs by working with dictionaries, functions, and APIs to retrieve data, organize logic, and support larger application workflows.
7 hours
5.6k
Introduction to Python Programming
Write basic Python programs by working with variables, data types, lists, loops, and conditionals to support simple development tasks.
4 hours
7.3k
Free
Querying Databases with SQL and Python
Retrieve and analyze data from SQLite databases by running SQL queries in Python and converting results into pandas DataFrames for analysis.
1 hours
2k
Free
Querying SQLite from Python
Query SQLite databases from Python by executing SQL statements and working with cursors to retrieve and analyze data.
1 hours
12.2k
Introduction to Data Structures
Build core data structures such as linked lists, stacks, queues, and dictionaries to write more efficient and scalable programs.
4 hours
2.8k
Recursion and Trees for Data Engineering
Explore recursion, binary trees, binary heaps, and more with ready-to-use tactics for real projects.
6 hours
1.8k
Building a Data Pipeline
Build a practical Python data pipeline using imperative and functional patterns, including scheduling, decorators, and real-world workflows.
4 hours
11.6k
Parallel Processing for Data Engineering
Scale data processing workflows by applying parallel processing and MapReduce techniques to efficiently analyze large datasets.
5 hours
2.5k
Introduction to Python for Data Engineering
Develop core Python skills used in data engineering, including working with data, control flow, and notebooks.
4 hours
55k
Dictionaries and Functions in Python
Build reusable Python programs by working with dictionaries, functions, and Jupyter Notebook to support data engineering and analysis workflows.
5 hours
15.2k
Intermediate Python for Data Engineering
Extend your Python skills for data engineering by working with real datasets, text processing, and object-oriented programming.
6 hours
6.6k
Programming Concepts in Python
Develop a practical understanding of how Python represents data, encodes text, and works with files to optimize memory and disk usage.
4 hours
5.2k
Learn Python Courses by Building Projects
Apply your skills to real-world scenarios with these guided projects
Project
Exploring Hacker News Posts
For this project, we’ll step into the role of data analysts to explore Hacker News submissions, analyzing trends using skills in string manipulation, object-oriented programming, and date handling in Python.
8 Steps
Project
Profitable App Profiles for the App Store and Google Play Markets
For this project, we’ll assume the role of data analysts for a company that builds free Android and iOS apps. Our revenue depends on in-app ads, so our goal is to analyze data to determine which kinds of apps attract more users.
14 Steps
Project
Exploring Financial Data using Nasdaq Data Link API
For this project, you’ll become a financial analyst exploring real-world economic data. You’ll use Python to interact with the NASDAQ Data Link API, retrieve financial datasets, then apply Pandas for data wrangling.
10 Steps
Project
Free
Kaggle Data Science Survey
For this project, we’ll act as a data analyst for Kaggle. Kaggle surveyed data scientists about their career status and skills.
8 Steps
Frequently Asked Questions
How do I choose the right Python course for my goals?
The right Python course depends on your goals. If you want to focus on web development, automation, or data visualization, pick a course that emphasizes practical applications rather than just syntax.
Dataquest’s Python courses are designed for data roles and provide hands-on practice with tools like pandas and NumPy.
What is Python?
Python is a high-level python programming language designed to be easy to read and write. It is widely used for data analysis, automation, web development, and machine learning. Python is maintained by the Python Software Foundation, which supports its open-source development and ongoing improvement.
Is Python hard to learn?
Learning Python is not hard. Its clear and readable syntax makes it beginner-friendly, and core concepts like object-oriented programming are introduced gradually to build confidence. Dataquest reinforces learning with hands-on coding exercises so you practice as you go.
What are the best Python courses online?
The best Python courses online focus on active learning rather than passive video watching. Look for courses that let you write and test code throughout each lesson. Dataquest uses an interactive platform that provides instant feedback, helping learners improve quickly and build practical skills.
Are Python skills still in demand?
Yes, Python skills are still in high demand across technology and data-related fields. A strong python skill is essential for careers in data science, analytics, and artificial intelligence. Employers value professionals who understand how to apply Python to real business problems.
What jobs can you get with Python skills?
Python skills can lead to several in-demand roles, including:
- Data Scientist
- Data Analyst
- Python Developer
- Machine Learning Engineer
- Backend Developer
Dataquest focuses on teaching Python programming for data-focused careers that continue to grow.
Which programming language should I learn first?
What is the difference between learning Python for development vs. data science?
Python for development is used to build applications and websites, often with frameworks like Django or Flask. Python for data science is used to analyze data, create models, and automate workflows using libraries like pandas, NumPy, and scikit-learn.
Dataquest focuses on teaching the Python skills most relevant for data-focused careers.
Do I need a technical background before starting Python courses?
No technical background is required to start learning Python. Many beginners start without any experience writing Python code. Dataquest assumes no prior knowledge and teaches concepts step by step.
What tools are commonly used with Python?
Common Python tools for data roles include Jupyter Notebooks, pandas, NumPy, Matplotlib, and scikit-learn. Some learners also use a Python cheat sheet for reference while practicing. Dataquest integrates these tools directly into the learning environment.
What is the best way to learn Python fast?
The best way to learn Python quickly is to practice writing code every day. Consistent practice reinforces concepts and improves retention. Dataquest supports this approach with short lessons and a coding challenge structure that encourages active learning.
How long will it take to become job-ready in Python?
Most learners become job-ready for data analysis roles in three to six months. Data science and engineering roles may require six to twelve months of study. Dataquest’s learning paths help learners stay focused while building practical Python scripts.
How much do Python courses cost?
The cost of Python courses varies by provider and format. Dataquest offers a subscription that includes access to its full curriculum, including Python, SQL, and R. Learners can try introductory content before committing.
Will I get a certificate, and does it help me stand out?
Yes, learners earn a certificate for each completed course, which can serve as a basic Python certification. More importantly, learners build a portfolio of projects that demonstrates real-world skills to employers.