Data Literacy Level 1: How to Read & Interpret Data Visualizations
Data visualizations are ubiquitous in our day and age, whether we’re looking at information about our careers, our communities, or our own personal lives. A day doesn’t pass without each one of us coming across a news story with an unemployment line chart, or a report at work about the latest company sales figures, or a fitness or financial dashboard showing our progress to a personal goal.
But how often do you catch yourself scratching your head or wondering what the images mean? Many of us didn’t receive a formal education that prepared us to consume data to the degree that we’re required to so in the situations in which we find ourselves. For this reason, it’s important to focus on becoming proficient in understanding what these visualizations are telling us, and what they’re not telling us.
The goal of the Data Literacy Level 1 online course is two-fold:
- THEORY: To help improve your knowledge of data visualization concepts and principles, and
- PRACTICE: To increase your level of skill and comfort in interpreting charts, maps and dashboards
Module 1 – The Fundamental Elements of Data
The goal of this first modules is to ground you in the basic concepts that will help you learn the language of data. In this first session of the Data Literacy Level 1 training program, you will learn the following:
- Section 1.1: Welcome & Course Introduction
- Section 1.2: 7 Pioneers of Data Visualization
- Section 1.3: 17 Key Traits of Data Literacy
- Section 1.4: The Value & Power of Data Visualization
- Section 1.5: 4 Data Scale Types
- Section 1.6: Visualizing Data in Tables
Okay, let’s dive right in!
Section 1.1: Welcome & Course Introduction
In this first section, you’ll meet your instructor, Ben Jones, and you’ll learn about what the first module is all about.
- An introduction to the course instructor, Ben Jones
- An overview of the course goals, outline and format
Section 1.2: 7 Pioneers of Data Visualization
Section 1.3: 17 Key Traits of Data Literacy
Section 1.4: The Value and Power of Data Visualization
Section 1.5: 4 Data Scale Types