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Practical ETL Pipeline Implementation and Best Practices Course

Practical ETL Pipeline Implementation and Best Practices Course
from 4 to 360h flexible workload
certificate recognized by MEC

What will I learn?

Master practical ETL skills that tighten data quality across sources: standardising text, deduplication, fuzzy matching, type conversion, missing-value handling, and robust validation. Learn parsing, target schema design, and schema evolution; blending datasets with reliable joins; and secure loading to CSV, Parquet, or SQLite with idempotent, testable pipelines. Short, actionable lessons boost efficiency, reproducibility, and decision-ready insights for teams worldwide.

Elevify advantages

Develop skills

  • Data cleaning: standardise text and handle missing values and validate data
  • Data transformation: type conversion and error handling and log bad rows
  • Data integration: join strategies and schema harmonisation and provenance tagging
  • ETL governance: testing deployment and docs and versioning reproducible pipelines

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

I was just promoted to Intelligence Advisor of the Prison System, and the course from Elevify was crucial for me to be the chosen one.
EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company where I work.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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