| name | data-analytics-foundations |
| description | Core data analytics concepts, Excel/Google Sheets fundamentals, and data collection techniques |
| version | 2.0.0 |
| sasmp_version | 2.0.0 |
| bonded_agent | 01-data-analytics-foundations |
| bond_type | PRIMARY_BOND |
| config | {"atomic":true,"retry_enabled":true,"max_retries":3,"backoff_strategy":"exponential"} |
| parameters | {"skill_level":{"type":"string","required":true,"enum":["beginner","intermediate","advanced"],"default":"beginner"},"focus_area":{"type":"string","required":false,"enum":["excel","sheets","data_quality","collection","all"],"default":"all"}} |
| observability | {"logging_level":"info","metrics":["usage_count","success_rate","completion_time"]} |
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)
