What is Free Access Week?
Free Access Week is exactly that, a free week to explore all of DataCamp’s features for zero cost.
From Jun 1 (9 AM EST) – June 7 (11.59 PM EST), anyone can access DataCamp Premium features with a free DataCamp account. All courses, products, and features are available in-browser, so you don’t need any additional software to access DataCamp.
Sign Up Here
There has never been a better time to start learning data and AI
- Build skills employers are hiring for right now: Python, Claude, OpenAI, SQL, Power BI, and more
- From your first line of code to building AI agents and beyond—whatever your level, there's a path for you
- Learn by doing: Every course is hands-on and runs in your browser. Nothing to install, no setup required
What can you access during Free Week?
- 680+ interactive data and AI courses: From Python basics to Claude Code, to advanced courses in MLOps, deep learning, image processing, and more.
- Challenge yourself with skill and career tracks: Start from zero and work your way through tailored learning paths
- Access 160+ real-life projects: Apply your skills in real-world scenarios and build up your data portfolio.
- Prove yourself with an industry-leading certification program: Starting by validating your fundamental data or AI skills, or prove your job-ready skills as a Data Scientist, Data Analyst, AI Engineer, and more
Data and AI learning for all levels
DataCamp is for everyone: whether you have no prior data skills or you’re proficient in multiple programming languages.
If you’re looking for a starting point, check out our interactive course list below to give you a glimpse into our 680+ course library:
Beginners courses:
- Claude Code 101
- Working with the OpenAI API
- Introduction to Power BI
- Introduction to Tableau
- Introduction to Python
- Introduction to Financial Concepts in Python
- Introduction to R
- Introduction to Excel
- Understanding Data Visualization
- Introduction to Relational Databases in SQL
- Understanding Cloud Computing
Intermediate courses
- Data Warehousing Concepts
- Software Development with Claude Code
- Prompt Engineering with LangChain
- Introduction to Docker
- Creating Dashboards in R with shinydashboard
- Writing Efficient R Code
- Machine Learning with Tree-Based Models in R
- Intermediate Data Modeling in Power BI
- Image Processing in Python
- Data-Driven Decision-Making in SQL
- Introduction to Kafka
- Introduction to Redshift
- Introduction to Deep Learning with PyTorch
- Applying SQL to Real-World Problems
- Supervised Learning with scikit-learn
- Creating PostgreSQL Databases
- Unsupervised Learning in Python
Advanced courses
- Ensemble Methods in Python
- Introduction to Airflow with Python
- Ensemble Methods in Python
- Working with Llama 3
- Winning a Kaggle Competition in Python
- Deep Learning for Images with PyTorch
- Generalized Linear Models in Python
- Introduction to dbt
- Introduction to MLflow
- Intermediate Object-Oriented Programming in Python
Projects to test skills in real-world scenarios and build your portfolio:
Beginner:
Intermediate:
- Mobile Games A/B Testing with Cookie Cats
- From Data to Dollars - Predicting Insurance Charges
- Reveal Categories Found in Data
Advanced:
- Analyzing Customer Support Calls
- Monitoring A Financial Fraud Detection Model
- Cleaning an Orders Dataset with PySpark
We're excited to see as many people as possible learning skills that will move their careers forward. Happy learning!
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