Data Engineering Courses and Certifications

Career Certificate

Python, Bash and SQL Essentials for Data Engineering

484 ratings at Coursera

Desarrolla habilidades esenciales en Python, Bash y SQL para la ingeniería de datos con ejercicios prácticos y estrategias aplicables, guiado por ingenieros profesionales.

• Coursera
• 16 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 4 courses

Career Certificate

Generative AI for Data Engineers

11773 ratings at Coursera

Explore generative AI applications in data engineering, from ETL pipelines to prompt engineering techniques. Learn popular models for text, code, image, audio, and video generation using tools like IBM Watsonx.

• Coursera
• 8 weeks, 2 hours/week
• Self-Paced
• Paid Course
• 2 courses

Python and Pandas for Data Engineering

277 ratings at Coursera

Learn Python and Pandas for data engineering, covering environment setup, data manipulation, and analysis. Gain hands-on experience with Jupyter, Vim, and VS Code while exploring essential Python concepts and Pandas operations.

• Coursera
• 2 days 4 hours 12 minutes
• Self-Paced
• Paid Course

PASS Data Community Summit

From ETL to Data Engineering with Azure Data Factory

Explore modern Azure Data Factory features for efficient, scalable data pipelines. Learn parameterization, dynamic workflows, and integration with Azure Databricks for cloud-native ETL solutions.

• YouTube
• 1 hour
• Self-Paced
• Conference Talk

CodeWithYu

Realtime Streaming with Apache Flink - End-to-End Data Engineering Project

Build an end-to-end data engineering project using Apache Flink, Kafka, Elasticsearch, and Docker. Learn real-time data processing, create scalable pipelines, and develop streaming dashboards for sales analytics.

• YouTube
• 2 hours 26 minutes
• Self-Paced
• Free Video

CodeWithYu

Realtime Socket Streaming with Apache Spark - End-to-End Data Engineering Project

Build a real-time data streaming pipeline using TCP/IP Socket, Apache Spark, OpenAI LLM, Kafka, and Elasticsearch. Process 7 million records for sentiment analysis and efficient data indexing.

• YouTube
• 1 hour 42 minutes
• Self-Paced
• Free Video

SQLBits

Azure Data Engineering Tools: Choosing Between Data Factory, Databricks, and Synapse Analytics

Explore Azure data engineering tools: Data Factory, Databricks, and Synapse Analytics. Learn their strengths, use cases, and how to choose the right one for your project.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

CodeWithYu

Designing Data Warehouse from Scratch - End-to-End Data Engineering

Master end-to-end data warehouse design, from logical architecture to physical implementation. Learn AWS Redshift, data loading, and medallion architecture for efficient data engineering.

• YouTube
• 2 hours 41 minutes
• Self-Paced
• Free Video

CodeWithYu

Kubernetes for Modern Data Engineering: An End-to-End Data Engineering Project

Master Kubernetes for data engineering: set up, deploy dashboard, run Apache Airflow with Helm charts. Learn kubectl, manage clusters, and optimize workflows for scalable data processing.

• YouTube
• 1 hour 25 minutes
• Self-Paced
• Free Video

Linux and Bash for Data Engineering

136 ratings at Coursera

Master Linux and Bash essentials for data engineering tasks. Learn file management, shell scripting, and command-line tools to enhance your development environment and solve common data problems efficiently.

• Coursera
• 2 days 17 hours 34 minutes
• Self-Paced
• Paid Course

Scripting with Python and SQL for Data Engineering

112 ratings at Coursera

Learn Python and SQL for data engineering: work with data structures, connect to databases, perform web scraping, and execute SQL queries using modern tools. Gain practical skills for effective data manipulation and extraction.

• Coursera
• 1 day 2 minutes
• Self-Paced
• Paid Course

Cloud Data Engineering

92 ratings at Coursera

Develop data engineering skills for cloud computing, covering serverless pipelines, ETL, databases, and storage. Apply best practices through hands-on projects using AWS, Azure, or GCP.

• Coursera
• 1 day 17 hours 11 minutes
• Self-Paced
• Paid Course

Spark, Hadoop, and Snowflake for Data Engineering

71 ratings at Coursera

Master data engineering with Hadoop, Spark, and Snowflake. Build efficient pipelines, optimize platforms, and integrate MLflow. Explore Databricks for analytics and machine learning, while applying DevOps and DataOps methodologies.

• Coursera
• 1 day 5 hours 55 minutes
• Self-Paced
• Paid Course

Understanding Data Topics

Data literacy isn't just for data specialists; it's a fundamental life skill that everyone needs.

• DataCamp
• 10 hours
• Self-Paced
• Free Trial Available

ETL in Python

12 ratings at DataCamp

Leverage your Python and SQL knowledge to create an ETL pipeline to ingest, transform, and load data into a database.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available