SKILL.md
Data Analytics Foundations Skill
Overview
Master the foundational concepts of data analytics including data types, collection methods, spreadsheet fundamentals, and basic data manipulation techniques.
Core Topics
Data Fundamentals
- Understanding data types (quantitative, qualitative, structured, unstructured)
- Data sources and collection methods
- Data quality dimensions (accuracy, completeness, consistency, timeliness)
Spreadsheet Proficiency
- Excel fundamentals and advanced formulas
- Google Sheets collaboration features
- Data cleaning and transformation in spreadsheets
- Pivot tables and data summarization
Data Collection
- Survey design and implementation
- Web scraping basics
- API data extraction
- Database querying fundamentals
Learning Objectives
- Understand core data analytics terminology and concepts
- Master Excel and Google Sheets for data analysis
- Implement effective data collection strategies
- Apply data quality assessment techniques
Error Handling
| Error Type | Cause | Recovery |
|---|---|---|
| Formula error | Invalid syntax | Validate formula structure |
| Data type mismatch | Wrong input format | Convert data types explicitly |
| Missing data | Incomplete dataset | Apply imputation or filtering |
| Performance issue | Large dataset | Use data sampling or optimization |
Related Skills
- databases-sql (for advanced data querying)
- statistics (for data analysis techniques)
- visualization (for presenting insights)