Tools and Technologies
You’re free to use any tools and frameworks, but here are some suggestions:
- Languages: Python, R, SQL, JavaScript
- Libraries & Frameworks: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Matplotlib, Seaborn, Streamlit
- Cloud & Databases: AWS, Google Cloud, PostgreSQL, MongoDB
- Visualization & Reporting: Tableau, Power BI, Plotly
Inspiration
Need help choosing a project? Here are some example themes:
- Health & Medicine: Predict disease outbreaks, analyze patient data, or summarize medical records
- Finance & Business: Detect fraudulent transactions, forecast stock trends, or optimize marketing strategies
- Social Good: Analyze climate data, study crime patterns, or identify bias in datasets
- Entertainment & Music: Build a song recommender, analyze movie sentiment, or generate AI art
- Sports & Fitness: Predict game outcomes, analyze player performance, or track fitness trends
Additional Resource Links
Kaggle Datasets: https://www.kaggle.com/datasets
Google Dataset Search: https://datasetsearch.research.google.com
Data Science Tutorials: https://towardsdatascience.com/