Data Engineering Courses and Certifications

Data Engineering for Beginners

Learn the fundamentals of data engineering and gain insights into the world of big data management and decision-making.

• Zero To Mastery
• 1 hour
• Self-Paced
• Paid Course

Amazon Web Services;  Amazon

Data Engineering on AWS - Foundations (Simplified Chinese)

学习在 AWS 上发现、编排、自动化和保护数据解决方案所需的数据工程核心概念与基础工具。

• AWS Skill Builder
• 4 hours
• Self-Paced
• Free Certificate

The Data Engineering Bootcamp: Zero to Mastery

Build data engineering pipelines: process Airbnb data with Spark, create AWS data lakes on S3 and EMR, orchestrate Airflow DAGs, and stream with Kafka and Flink.

• Zero To Mastery
• 17 hours
• Self-Paced
• Paid Course

Amazon Web Services;  Amazon

Data Engineering on AWS - Foundations (简体中文)

学习在 AWS 上进行数据发现、设计数据架构并编排、自动化和保护数据解决方案所需的数据工程基础工具。

• AWS Skill Builder
• 4 hours
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

Data Engineering on AWS - Foundations (한국어)

AWS에서 데이터 엔지니어링 솔루션을 구축·자동화·보호하는 데 필요한 데이터 아키텍처, 서비스, 도구 및 보안 개념을 익힙니다.

• AWS Skill Builder
• 4 hours
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

Data Engineering on AWS - Foundations (Korean)

AWS 데이터 엔지니어링의 역할과 현대적 데이터 아키텍처를 바탕으로 파이프라인 자동화, 보안 및 개발 도구를 익힙니다.

• AWS Skill Builder
• 4 hours
• Self-Paced
• Free Certificate

Career Certificate

Data Engineering Fundamentals

Learn data engineering foundations: data repositories and pipelines, Python scripting, collecting data via APIs and web scraping, and querying relational databases with SQL joins and views.

• edX
• 17 weeks, 2-10 hours a week
• Self-Paced
• $471.00
• 6 courses

Career Certificate

Data Engineering

Build data pipelines and warehouses: work with Python, SQL, Bash, relational and NoSQL databases, ETL with Airflow and Kafka, and big data on Hadoop and Spark.

• edX
• 57 weeks, 2-10 hours a week
• Self-Paced
• $1,076.00
• 14 courses

Pragmatic AI Labs Career Certificate

Data Engineering Foundations

Master Python, Bash, and SQL for data engineering. Gain hands-on skills to manipulate data, build pipelines, and automate workflows using cutting-edge tools and best practices.

• edX
• 32 weeks, 3-6 hours a week
• Self-Paced
• $3,232.00
• 8 courses

Pragmatic AI Labs

HTTP APIs for Data Engineering

A data pipeline that ends in a file has not finished its job. This course takes a Rust medallion pipeline built with Polars (bronze, silver and gold over 32,780 real wine ratings) and puts the gold la

• edX
• Self-Paced
• Free Online Course (Audit)

Get started with data engineering on Azure

Learn how Azure Data Lake Storage Gen2 supports big data analytics and differs from Azure Blob Storage.

• Microsoft Learn
• 56 minutes
• Self-Paced
• Free Online Course

Data Engineering on AWS

Build a complete AWS data engineering stack—design and ingest data into S3-based lakes, transform and query it with Glue and Athena, model a Redshift analytics warehouse, and automate end-to-end pipel

• edX
• 4 weeks, 2-4 hours a week
• Self-Paced
• Free Online Course (Audit)

Career Certificate

IBM Data Management

19084 ratings at Coursera

Learn to collect, organize, and protect business data: query with SQL, model relational databases, build Excel, Cognos and Tableau dashboards, and apply governance, security and migration practices.

• Coursera
• 12 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 12 courses

Career Certificate

Data Engineering, Big Data, and Machine Learning on GCP

4416 ratings at Coursera

Praxisnaher Aufbau von End-to-End-Datenpipelines für Batch- und Streaming-Verarbeitung auf der Google Cloud, ergänzt durch Big-Data-Analysen und maschinelles Lernen.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses

Career Certificate

Data Engineering, Big Data, and Machine Learning on GCP

4415 ratings at Coursera

Entwickle Datenverarbeitungssysteme auf der Google Cloud Platform, erstelle Batch- und Streaming-Pipelines mit Dataflow, analysiere BigQuery-Datasets und trainiere TensorFlow-Modelle mit Cloud ML.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses