Data
Technology Guides

# 12 Examples of Data Literacy

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Data literacy is the ability to understand, interpret, critique, analyze and communicate data. The following are illustrative examples.

## Data Comprehension

Basic comprehension of data related terms and conventions of data visualization. For example, knowing the difference between a median and an average or a visualization that is at log or linear scale.

## Cause & Effect

Knowledge related to cause and effect such as the idea that correlation doesn't equal causation.

## Fallacies & Biases

Knowledge of common fallacies related to data such as the prosecutors fallacy.

## Critical Thinking

The ability to question logic supported with data. For example, the ability to evaluate if a sample size is large enough to be statistically significant.

## Scientific Method

Knowledge of the scientific method such as experiment controls. This is required to properly analyze data or perform research. For example, the principle that you must have a hypothesis first before running an experiment as opposed to fitting your hypothesis to the data afterwards.

## Nuance

An ability to investigate and model the nuances of data. For example, a survey question framed two different ways may lead to completely different results.

## Data Analysis

Data analysis is the practice of interpreting data. For example, the process of identifying and resolving data quality issues.

## Statistical Analysis

Statistics is the mathematics of data collection, organization, analysis, interpretation and presentation. For example, the ability to develop and validate a statistical model that can be used to forecast monthly sales for a product.

## Data Visualization

The ability to visual data in a way that accurately communicates meaning without being misleading.

## Context

The ability to analyze and communicate the context of data. For example, a marketing person investigating the sales impact of different promotional campaigns who considers context such as the prices or holidays that also influence sales.

## Data Communication

The ability to tell a story with data without being misleading.

## Data Tools

The ability to use data related applications productively in areas such as analytics, business intelligence and database query languages.
 Overview: Data Literacy Type Definition The ability to understand, interpret, critique, analyze and communicate data. Related Concepts

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## Statistical Analysis

A list of basic statistical analysis techniques.

## Quartile

An overview of how to calculate quartiles with a full example.

## Misuse of Statistics

Patterns of mistakes in statistics.

## Cohort

A definition of cohort with examples.

## Natural Experiment

The definition of natural experiment with examples.

## Random Error

The definition of random error with examples.

## Positive Correlation

The definition of positive correlation with examples and comparisons.

## Negative Correlation

The definition of negative correlation with examples.

## Alternative Hypothesis

The definition of alternative hypothesis with examples.

## Secondary Research

The definition of secondary research with examples.

## Statistical Analysis

A list of basic statistical analysis techniques.

## Cohort Analysis

An overview of cohort analysis.

## Analytics

A definition of analytics with examples.

## Continuous Data vs Discrete Data

The difference between continuous and discrete data.

## Hypothesis Types

The common types of hypothesis with examples.

## Errors

The common types of error with examples.

## Structured Data

An overview of structured data with examples.

## Regression Analysis

An overview of regression analysis with examples.
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## New Articles

Recent posts or updates on Simplicable.
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