This beginner-friendly, tool-free course is for anyone who works with data but has never stepped back to learn what it actually is. Build the vocabulary and mental models everything else depends on: what data is and how tabular data is organized, the difference between numerical and categorical data types, how to summarize a dataset using measures of center, spread, and descriptive statistics, and how values relate through ratios, proportions, and correlation. No spreadsheets, no code—just the core concepts that make every future tool and analysis easier to grasp. Ideal for newcomers, career-changers, and non-technical team members who want to follow data conversations with confidence.
Overview
Syllabus
- Course Introduction
- Get introduced to data fundamentals, key concepts, and terminology to build a solid foundation for understanding and using data in any field. No prior stats or coding required.
- What Is Data
- Interpret tabular data by identifying what’s being measured, understanding how it’s organized, and recognizing the role of metadata in adding context.
- Data Types
- Distinguish between different data types—like numerical vs. categorical—and apply the right reasoning based on how the data is structured and measured.
- Data Summarization
- Summarize datasets using frequencies, measures of center and spread, and descriptive statistics like five-number summaries and tables.
- Data Relationships
- Explore how values relate using ratios, proportions, and correlations to compare parts and measure connections between variables.
- Course Review
- Review key concepts: data types, metadata, descriptive stats, and data relationships. Apply these fundamentals in real-world data tasks and decision-making.
Taught by
Jayden Ziegler