Understanding Data Types and Structures | Data Literacy Fundamentals | Module 2.1

Welcome to Module 2 of our Data Literacy series! In this module, we dive into the essential building blocks of data literacy, starting with a fundamental question: "What is data?"
What You'll Learn:
The definition and forms of data (numerical, text, images, audio, etc.)
Differences between primary and secondary data
An in-depth look at various data types including numerical, categorical, textual, image, audio, time-series, geospatial, and sensor data
The distinction between structured, unstructured, and metadata
The properties and uses of each data type
Techniques for managing and analyzing different data types
Key Concepts Covered:
1) Numerical Data: Discrete vs. continuous data
2) Categorical Data: Nominal vs. ordinal data
3) Textual Data: Natural language text analysis
4) Image and Audio Data: Digital media formats
5) Time-Series and Geospatial Data: Specialized data types for specific applications
6) Sensor Data: Data from various sensors
7) Structured Data: Organized and easily searchable data
8) Unstructured Data: Handling and analyzing unstructured information
9) Metadata: Enhancing data discoverability and quality
Join us as we lay the groundwork for your data literacy skills, providing you with the knowledge needed to make informed decisions, identify patterns, and generate new insights from data. This module is packed with practical examples and clear explanations to help you understand the importance of data types and structures.
Stay tuned for our next module, where we’ll explore the importance of Data Quality.
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