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)