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)