ETL Courses and Certifications

Whizlabs

Microsoft Fabric: Ingest and Transform Data

Master Microsoft Fabric's data ingestion and transformation capabilities through hands-on training with Eventstreams, KQL, Spark, and Pipelines for scalable analytics workflows.

• Coursera
• 10 hours 23 minutes
• Self-Paced
• Paid Course

Data Warehousing & Pipeline Development in Microsoft Fabric

Master data warehousing and pipeline development using Microsoft Fabric's cloud-native analytics platform with hands-on T-SQL, ETL/ELT design, and CI/CD implementation.

• Coursera
• 1 day 40 minutes
• Self-Paced
• Paid Course

Whizlabs

AWS: Feature Engineering Data Transformation & Integrity

Master data preparation and feature engineering for machine learning using AWS Glue, DataBrew, and EMR to build scalable ETL pipelines and ensure data integrity.

• Coursera
• 5 hours 51 minutes
• Self-Paced
• Paid Course

Coursera

Data Pipelines and SQL for Product Analytics

Master data pipeline construction and SQL optimization for product analytics using real-world datasets exceeding 10 million rows across multiple platforms.

• Coursera
• 8 hours 52 minutes
• Self-Paced
• Paid Course

KodeKloud

Data Engineering Essentials

Master MLOps-ready data engineering with Kafka, Spark, and Airflow to build scalable, automated pipelines that bridge raw data to production AI systems.

• Coursera
• 5 hours 27 minutes
• Self-Paced
• Paid Course

Data Storage and Management for Big Data

Explore SQL vs NoSQL databases, data lakes, warehouses, and ETL/ELT pipelines while mastering structured and unstructured data formats for scalable big data solutions.

• Coursera
• 1 day 53 minutes
• Self-Paced
• Paid Course

Packt

Snowflake - Build and Architect Data Pipelines Using AWS

Master data pipeline architecture using Snowflake and AWS, covering ingestion, optimization, streaming, and integration with Python, Spark, and Airflow. Build enterprise-grade solutions with hands-on labs and real-world projects.

• Coursera
• 13 hours 12 minutes
• Self-Paced
• Paid Course

Packt

Master in Microsoft Power BI Desktop and Service

Master Microsoft Power BI Desktop and Service for data analysis, visualization, DAX functions, and dashboard creation. Build complex data models and publish secure reports.

• Coursera
• 10 hours 31 minutes
• Self-Paced
• Paid Course

Coursera

Automate Data Workflows with Airflow Excellence

Master production-ready Apache Airflow workflows with automated retry mechanisms, SLA monitoring, and parameterized pipelines for bulletproof data engineering reliability.

• Coursera
• 1 hour 23 minutes
• Self-Paced
• Paid Course

Coursera

AWS Data Automation: Glue & Lambda Integration

Master AWS Glue and Lambda integration to automate ETL pipelines, build data catalogs, and create serverless workflows for efficient cloud-native data processing solutions.

• Coursera
• 3 hours 38 minutes
• Self-Paced
• Paid Course

Board Infinity

Automate Financial Insights with AI Tools & Dashboards

Master end-to-end financial automation using APIs, ETL pipelines, Power BI, Tableau, ML models, and LLM tools to build production-ready AI-powered analytics systems and dashboards.

• Coursera
• 19 hours 59 minutes
• Self-Paced
• Paid Course

Coursera

Trace and Fix Data Anomalies

Master systematic root cause analysis to trace data anomalies through pipelines, implement resolution strategies, and maintain reliable automated workflows with hands-on debugging techniques.

• Coursera
• 1 hour 29 minutes
• Self-Paced
• Paid Course

Coursera

Data Validation with Alteryx: Testing and Optimization Tools

Master data validation techniques in Alteryx through hands-on practice with testing tools, error detection, data integrity checks, and workflow optimization for more reliable and user-friendly analytics processes.

• Coursera
• 2 hours 5 minutes
• Self-Paced
• Paid Course

Edureka

Data Engineering Workflow Orchestration with Airflow

Master Apache Airflow to design, build, and deploy production-ready data pipelines with operators, sensors, TaskFlow API, CI/CD integration, and advanced DAG optimization techniques.

• Coursera
• 9 hours 46 minutes
• Self-Paced
• Paid Course

Data Science Fundamentals Part 1: Unit 2

Discover real-world data sourcing through web scraping, APIs, and databases while mastering XML/JSON parsing and ETL pipelines for effective data transformation and analysis.

• Coursera
• 9 hours 5 minutes
• Self-Paced
• Paid Course