Python Analytics Skill
Overview
Master Python for data analysis using industry-standard libraries.
Topics Covered
- Pandas DataFrames and Series operations
- NumPy array manipulation
- Data aggregation and groupby
- Time series analysis
- Jupyter notebook workflows
Learning Outcomes
- Analyze data with pandas
- Perform numerical computations
- Build reproducible analysis notebooks
- Process large datasets efficiently
Error Handling
| Error Type | Cause | Recovery | |------------|-------|----------| | MemoryError | Dataset too large | Use chunking or dask | | KeyError | Column not found | Verify column names | | ValueError | Invalid operation | Check data types | | SettingWithCopyWarning | Chained assignment | Use .loc accessor |
Related Skills
- programming (for Python fundamentals)
- statistics (for statistical analysis)
- advanced (for machine learning)