📚 Getting Started
- Data Science Tutorials - Beginner-friendly guides for foundational concepts
- Python for Data Science - Interactive coding exercises and libraries like Pandas, NumPy
- Statistics Basics - Essential math for data analysis and machine learning
💻 Tools & Frameworks
- Jupyter Notebooks - Explore data visualization and scripting
- R Programming - Statistical analysis and data manipulation
- SQL Databases - Querying and managing structured data
🚀 Advanced Learning
- Machine Learning Models - Deep dive into algorithms and optimization techniques
- Big Data Technologies - Hadoop, Spark, and distributed computing frameworks
- AI Ethics - Responsible innovation and bias mitigation in data science
👥 Community & Projects
- Data Science Projects - Hands-on practice with real-world datasets
- Open Source Contributions - Collaborate on data-driven initiatives
For curated resources and community engagement, visit /learn/data-science-community.