Data Pipelines Courses and Certifications

Coursera

Automate, Ingest, and Validate Event Data

Master automated ETL pipelines with Airflow for real-time event ingestion into Snowflake, plus implement systematic validation to ensure tracking plan compliance and data integrity.

• Coursera
• 1 hour 17 minutes
• On-Demand
• Paid Course

EDUCBA Microcredential

Advanced SAS Programming, Macros & Reporting

Master advanced SAS programming techniques, macros, PROC SQL, and enterprise reporting to automate workflows and create scalable data pipelines for analytics environments.

• Coursera
• 8 weeks, 10 hours a week
• On-Demand
• Paid Course
• 5 courses

Pragmatic AI Labs

Data Engineering with Delta Lake on Databricks

Master production-ready data pipelines using Delta Live Tables and Medallion Architecture on Databricks through hands-on labs and a complete inventory management capstone project.

• Coursera
• 5 hours 9 minutes
• On-Demand
• Paid Course

EDUCBA

Talend ETL: Design, Optimize & Apply Workflows

Master Talend ETL through hands-on projects: design workflows, integrate data sources, apply Java logic, optimize with filters & child jobs, and implement logging for enterprise-level solutions.

• Coursera
• 5 hours 55 minutes
• On-Demand
• Paid Course

Coursera

ETL Testing Basics for Databases

Master ETL fundamentals and build reliable data pipelines using Apache NiFi to extract, transform, and load data for analytics and AI workflows.

• Coursera
• 3 hours 48 minutes
• On-Demand
• Paid Course

Coursera Microcredential

Product Analytics Unlocked: Metrics to Meaningful Insight

Master product analytics through SQL pipelines, A/B testing, user segmentation, and strategic frameworks to drive data-driven product decisions and business impact.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 4 courses

Coursera

Process & Analyze Real-Time Data Fast

Master real-time data processing with Apache Spark to build high-speed pipelines, live dashboards, and fraud detection systems that transform streaming data into instant business insights.

• Coursera
• 4 hours 57 minutes
• On-Demand
• Paid Course

Packt

Accelerate Model Training with PyTorch 2.X

Master PyTorch 2.X optimization techniques to dramatically accelerate model training through compilation, mixed precision, distributed strategies, and efficient data pipelines.

• Coursera
• 8 hours 10 minutes
• On-Demand
• Paid Course

Coursera

Stream & Optimize Real-Time Data Flows

Master Apache Kafka and Flink to build production-ready streaming pipelines with governance controls, real-time joins, and cost optimization for enterprise data flows.

• Coursera
• 4 hours 23 minutes
• On-Demand
• Paid Course

Edureka Microcredential

No-Code Data Science and Machine Learning

Master data science and ML through no-code tools like KNIME, Orange, and Google Vertex AI. Build pipelines, train models, and deploy solutions without programming.

• Coursera
• 8 weeks, 5 hours a week
• On-Demand
• Paid Course
• 2 courses

Coursera

Improve Data Quality and Automate Errors

Master quantitative data quality measurement and build self-healing systems that automatically detect, handle, and recover from data pipeline failures at enterprise scale.

• Coursera
• 2 hours 45 minutes
• On-Demand
• Paid Course

Streaming Data to Bigtable

Lanza un pipeline de Dataflow para cargar datos en streaming desde Pub/Sub a Bigtable en la consola de Google Cloud.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Packt

The Ultimate Guide to Snowpark

Master Snowpark for data engineering, analytics, and ML workflows. Build scalable pipelines, deploy models, and create native applications within Snowflake ecosystem.

• Coursera
• 9 hours 37 minutes
• On-Demand
• Paid Course

Coursera

Apply Data Lake Transactions & Versioning

Master transactional data lake management with ACID guarantees, versioning, and schema evolution using open-source tools for reliable enterprise-grade data pipelines.

• Coursera
• 1 hour 42 minutes
• On-Demand
• Paid Course

Coursera

Debug Python Pipelines: Root Causes

Master systematic debugging approaches to diagnose Python pipeline failures, analyze stack traces, and resolve multithreading issues in production environments.

• Coursera
• 1 hour 42 minutes
• On-Demand
• Paid Course