Parse & Normalize Data for ML Pipelines
Completed by PAVAN KUMAR GOGULA
February 17, 2026
4 hours (approximately)
PAVAN KUMAR GOGULA's account is verified. Coursera certifies their successful completion of Parse & Normalize Data for ML Pipelines
What you will learn
Create efficient CSV parsers using Java libraries with object mapping, error handling, and streaming for 100K+ records.
Build data cleaning pipelines with multiple scaling algorithms, outlier handling, and serializable parameters for train-inference consistency.
Architect modular pipelines using builder patterns that chain operations with monitoring and ML framework integration for large-scale data.
Skills you will gain
- Category: Data Wrangling
- Category: Data Cleansing
- Category: Model Deployment
- Category: Java Programming
- Category: Continuous Monitoring
- Category: Data Processing
- Category: Data Import/Export
- Category: Data Pipelines
- Category: Data Access
- Category: Data Transformation
- Category: Data Preprocessing
- Category: Model Training

