Week 8 · 45-60 min
Data Cleaning Basics
Week Summary
A quick preview of the main ideas in this week before you begin the slides.
- Why Clean Data First?
- Identifying Missing Data
- Fixing Inconsistent Formatting
- Removing Duplicate Records
Glossary
Review these key terms before starting this week. They are kept simple so students can learn the new vocabulary before moving into the slides.
- Why Clean Data First?
- Why Clean Data First?
- Identifying Missing Data
- Identifying Missing Data
- Fixing Inconsistent Formatting
- Fixing Inconsistent Formatting
Why Clean Data First?
Progress
1 / 8
Identify and fix common data quality issues.
Read one card at a time. Focus on the main idea first, then look at the visual on the right to help it stick.
Messy data leads to inaccurate analysis.
Cleaning improves consistency before calculations begin.
It is a critical but often overlooked step.
Cleaning saves time and prevents misleading results later.
It should happen before formulas, charts, or conclusions.
Remember
Cleaning is not optional; it is one of the foundations of trustworthy analysis.
Why Clean Data First?
Slide 1 of 8
Use arrows or dots to move through the lesson
Practice
- Write 2-3 sentences about what you learned this week.
Coming Next Week: Next: Descriptive Statistics