# Analytics Data Quality - Building Trust in Data: Validation Techniques and Quality Checks (Day 1 Lecture)

> In this lecture on data quality, we cover data validation techniques and practices for ensuring data quality. Learn to build trust in datasets, differentiate quality checks for facts and dimensions, and create effective data documentation.

- Web page: https://julie.techexpert.io/lesson/analytics-data-quality-day-1-lecture-v2
- Program: [Data Engineering Boot Camp V2 Combined Track](https://julie.techexpert.io/program/data-engineering-boot-camp-v2-combined-track)
- Module: Week 5: Analytics Data Quality V2
- Access: Requires enrollment in Data Engineering Boot Camp V2 Combined Track
- Length: 1 h 5 min video
- Skills: SQL, Data Modeling, ETL/ELT, Data Warehousing, Statistics
- Academy: Julies academy to catch all other programs

## About this lesson

In this lecture on data quality, we cover data validation techniques and practices for ensuring data quality. Learn to build trust in datasets, differentiate quality checks for facts and dimensions, and create effective data documentation.

## Navigation

- Previous lesson: [Data Pipeline Maintenance - Challenges, Ownership Models, and Team Structures (Day 1 Lecture) ](https://julie.techexpert.io/lesson/pipeline-maintenance-day-1-lecture-v2.md)
- Next lesson: [Data Impact Communication & Visualization - Preparing for Complex Visualizations (Day 1 Lab) ](https://julie.techexpert.io/lesson/visual-impact-day-1-lab-v2.md)