Data Intelligence and Visualization · Data & Analysis

Data Collection and Cleaning

Exploring techniques for gathering data and the necessity of cleaning data to ensure accuracy.

Key Questions

  1. 1How can bias in data collection lead to inaccurate or harmful conclusions?
  2. 2What are the ethical considerations of scraping data from public websites?
  3. 3How do we handle missing or corrupted data in a large dataset?

Common Core State Standards

CSTA: 3A-DA-11
Grade: 9th Grade
Subject: Computer Science
Unit: Data Intelligence and Visualization
Period: Data & Analysis

Suggested Methodologies

Ready to teach this topic?

Generate a complete, classroom-ready active learning mission in seconds.

Generate a Custom MissionBrowse Lesson Plan Templates

More in Data Intelligence and Visualization

Statistical Analysis and Modeling

Using computational tools to find correlations and build models that predict future outcomes.

2 methodologies

Visualizing Complex Information

Creating charts and infographics that make data understandable and persuasive for a target audience.

2 methodologies

Browse curriculum by country

AmericasUSCAMXCLCOBR
EuropeUKIEFRDEESITNLPTSE
Asia & PacificINSGAU