data-analytics-foundations

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
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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)