Data Pipelines Courses and Certifications

Data Pipelines with TensorFlow Data Services

536 ratings at Coursera

Streamline ETL tasks, optimize data pipelines, and publish datasets using TensorFlow Data Services. Learn to load, process, and share standardized data efficiently for machine learning models.

• Coursera
• 11 hours 13 minutes
• On-Demand
• Paid Course

Data Engineer in Python

22 ratings at DataCamp

Gain in-demand skills to efficiently ingest, clean, manage data, and schedule and monitor pipelines, setting you apart in the data engineering field.

• DataCamp
• 1 day 16 hours
• On-Demand
• Free Trial Available

Data Processing in Shell

Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

DevOps Concepts

In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Learn to design, query, and build in Snowflake - mastering Snowflake SQL for transformation and modeling to become a job-ready Data Engineer.

• DataCamp
• 1 day 8 hours
• On-Demand
• Free Trial Available

Build reliable, scalable data pipelines with dbt Fundamentals, a hands-on track designed for data analysts, data engineers, analytics engineers.

• DataCamp
• 8 hours
• On-Demand
• Free Trial Available

Data Ingestion and Semantic Models with Microsoft Fabric

Learn to bring data into Microsoft Fabric, covering Pipelines, Dataflows, Shortcuts, Semantic Models, security, and model refresh.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Introduction to Data Quality with Great Expectations

Ensure high data quality in data science and data engineering workflows with Python's Great Expectations library.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Designing Forecasting Pipelines for Production

Learn how to design, automate, and monitor scalable forecasting pipelines in Python.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Exploring Data Transformation with Google Cloud

1 rating at Udacity

Discover how to prepare and transform data using Google Cloud's ETL tools, covering data cleaning, organization, and pipeline creation for machine learning applications.

• Udacity
• On-Demand
• Free Online Course

Software Architecture Patterns

Discover proven architectural patterns to design scalable, resilient systems from monoliths to microservices, cloud-native solutions, and distributed architectures.

• Udacity
• 15 hours
• On-Demand
• Paid Course

Google Cloud에서 일괄 데이터 파이프라인 빌드하기

Google Cloud에서 배치 데이터 파이프라인 구축: EL, ELT, ETL 패러다임 이해 및 BigQuery, Dataproc, Data Fusion, Dataflow 등 다양한 기술을 활용한 데이터 변환 및 처리 방법 학습

• Coursera
• 8 hours 32 minutes
• On-Demand
• Paid Course

ETL and Data Pipelines with Shell, Airflow and Kafka

449 ratings at Coursera

Learn to build data pipelines using Shell, Airflow, and Kafka. Master ETL and ELT processes, explore tools for data extraction, transformation, and loading, and gain hands-on experience with Apache Airflow and Kafka.

• Coursera
• 17 hours 47 minutes
• On-Demand
• Paid Course

GOTO Conferences

Data Pipelines à La Mode

Explore pure data pipelines: reproducible, version-tracked, and efficient. Learn techniques from distributed build systems to improve algorithm updates and avoid redundant work.

• YouTube
• 48 minutes
• On-Demand
• Conference Talk

Databricks

Building Data Quality Pipelines with Apache Spark and Delta Lake

Learn to build robust data quality pipelines using Apache Spark and Delta Lake. Explore rule templates, reporting models, and PowerBI integration for effective data remediation and self-healing in enterprise environments.

• YouTube
• 27 minutes
• On-Demand
• Free Video