Data Engineering Courses and Certifications

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

Transform Data: Cleanse, Encode, Validate

Master practical data transformation techniques using Python and pandas to cleanse messy datasets, handle missing values, encode categorical features, and validate data quality for reliable analytics.

• Coursera
• 2 hours 7 minutes
• Self-Paced
• Paid Course

Coursera

Automate, Optimize, and Benchmark Data Pipelines

Master pipeline performance evaluation and automation scripting to build faster, more efficient data systems through benchmarking and configuration-driven workflows.

• Coursera
• 1 hour 58 minutes
• Self-Paced
• Paid Course

EDUCBA

Apache Spark with Scala: Master Data Building & Analysis

Master Apache Spark with Scala to build scalable big data applications, implement real-time streaming, and create fault-tolerant data pipelines for analytics roles.

• Coursera
• 8 hours 44 minutes
• Self-Paced
• Paid Course

Big Data Management and Optimization

Master enterprise big data governance, security, and performance optimization using Microsoft Azure tools for scalable, cost-effective deployments.

• Coursera
• 1 day 5 hours 13 minutes
• Self-Paced
• Paid Course

Big Data Tutorial & Training

Learn to analyze, mine, and manage big data effectively with expert guidance on fundamentals, applied techniques, and database systems for academic or professional growth.

• Study.com
• 7 hours 12 minutes
• Self-Paced
• Paid Course

EDUCBA

Apache Spark: Apply & Evaluate Big Data Workflows

Master Apache Spark's distributed data processing through RDD operations, persistence strategies, and file format handling for scalable big data workflows.

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

Coursera

Design Real-Time Architectures with Spark & Kafka

Master real-time data pipelines using Apache Spark & Kafka for scalable streaming systems with fault tolerance, performance tuning, and production deployment strategies.

• Coursera
• 3 hours 39 minutes
• Self-Paced
• Paid Course

Datastream: PostgreSQL Replication to BigQuery

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will replicate data from a PostgreSQL database to BigQuery.

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

Packt

Databricks ML in Action

Master practical machine learning on Databricks platform with hands-on projects covering MLflow, Vector Search, AutoML, and complete ML lifecycle from data ingestion to deployment.

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

Coursera

Databricks GenAI Engineering

Master building production-grade GenAI apps on Databricks by constructing RAG pipelines, fine-tuning models with MLflow, and evaluating responses for relevance, hallucination rate, and latency.

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

Packt

Microsoft Fabric: Architecture, Data Lakes and Ingestion

Explore Microsoft Fabric's architecture, OneLake, and data ingestion techniques. Gain hands-on skills in managing Lakehouses, ETL/ELT processes, and building scalable data workflows for analytics and business intelligence.

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

Google BigQuery for Data and ML Engineers

Master BigQuery's serverless architecture, advanced SQL, and ML capabilities to build efficient data pipelines and deploy models for real-world data engineering projects.

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

EDUCBA

Talend Data Integration: Build & Automate Workflows

Master Talend Data Integration Studio through hands-on ETL workflows, database connections, and advanced components like TMap and TJoin for real-world data challenges.

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