- python (for general purpose programming)
- R (for statistics)
- bash (for cleaning up files)
- SQL (for querying databases)
Tools: - Pandas (for Python)
- RStudio (for R)
- Postgres (for SQL)
- Excel (the format your customers will want ;-) )
Libraries: - SciPy (ecosystem for scientific computing)
- NLTK (for natural language)
- D3.js (for rendering results online)