Data Quality Certification Course
A data quality certification course from strategy, culture and implementation best practices based on the official O'Reilly "Data Quality Fundamentals" book.
Do your dashboards look funky? Are your quarterly reports stale? Did John from Finance ping you AGAIN that the data is "wrong?" You're not alone! This "good pipelines, bad data problem" is a tale as old as time, costing organizations time, resources, and stakeholder trust. Based on O'Reilly's Data Quality Fundamentals, our new on-demand data quality certification course will set you up for success as you roll out data cleaning, testing, and observability strategies across your organization. In this course, you'll learn how to:
Scale data testing and schema validation
Build a data stack optimized for reliability
Set and maintain data quality SLAs, SLIs, and SLOs
Use SQL to write data anomaly monitors
Develop and lead data quality initiatives
Optimize ROI on your data investments
A crash course to data quality, from strategy to implementation
Introduction to the Data Quality Fundamentals Course
The Rise of Data Downtime
Chapter 1 - Why Data Quality Deserves Attention - Now
Chapter 1 Quiz
Assembling the Building Blocks of a Reliable Data System
When to Build vs. Buy Your Data Warehouse (5 Key Factors)
Chapter 2 Quiz
Collecting, Cleaning, Transforming, & Testing Data
Building Airflow Circuit Breakers: Key Challenges
Chapter 3 Quiz
Monitoring and Anomaly Detection for Your Data Pipelines
Chapter 4 Quiz
Architecting for Data Reliability
How Mercari Operationalizes Data Reliability Engineering at Scale
Chapter 5: Architecting for Data Reliability
Fixing Data Quality Issues at Scale
Modern Data Quality Management: A Proven 6-Step Guide
Chapter 6 Quiz