AWS Analytics Courses and Certifications

Amazon Web Services;  Amazon

Fundamentals of Analytics on AWS – Part 2 (简体中文)

介绍 AWS 上的数据湖、数据仓库和现代数据架构，以及相关服务、参考架构和常见使用案例。

• AWS Skill Builder
• 1 hour 30 minutes
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

Analytics on AWS

Gamified, hands-on AWS Jam challenges build analytics workflows with S3, Redshift, Kinesis, Lambda, Glue, and Athena.

• AWS Skill Builder
• 4 hours
• Self-Paced
• Paid Course

Amazon Web Services;  Amazon

Fundamentals of Analytics on AWS – Part 1 (Indonesian)

Memperkenalkan konsep analitik dan memetakan 5 V big data ke layanan AWS untuk penyimpanan, transportasi, pemrosesan, dan nilai analitik.

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

Amazon Web Services;  Amazon

Fundamentals of Analytics on AWS – Part 2 (Indonesian)

Pelajari danau data, gudang data, dan arsitektur data modern di AWS, termasuk layanan, pola data mesh, skenario pergerakan data, dan arsitektur referensi.

• AWS Skill Builder
• 1 hour 30 minutes
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

Fundamentals of Analytics on AWS – Part 2 (Português)

Visão geral das arquiteturas modernas de dados na AWS, com data lakes, data warehouses, AWS Lake Formation e casos de uso comuns.

• AWS Skill Builder
• 1 hour 30 minutes
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

Fundamentals of Analytics on AWS – Part 1 (Português)

Apresenta os fundamentos de analytics na AWS, relacionando os 5 Vs do big data a serviços de armazenamento, transporte, processamento, ETL/ELT e business intelligence.

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

Amazon Web Services;  Amazon

Fundamentals of Analytics on AWS – Part 2 (Español LATAM)

Introducción a los lagos de datos, almacenes de datos y arquitecturas de datos modernas en AWS, con servicios, patrones y arquitecturas de referencia.

• AWS Skill Builder
• 1 hour 30 minutes
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

Fundamentals of Analytics on AWS – Part 1 (Español LATAM)

Introducción a los fundamentos del análisis de datos en AWS mediante las 5 V de los macrodatos y los servicios que las abordan.

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

Amazon Web Services;  Amazon

Noções básicas de Analytics na AWS – Parte 1 (Português) | Fundamentals of Analytics on AWS – Part 1 (Portuguese)

Apresente os fundamentos de analytics na AWS por meio dos 5 Vs do big data e dos serviços correspondentes.

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

Amazon Web Services;  Amazon

Aspectos básicos del análisis en AWS: parte 2 (Español LATAM) | Fundamentals of Analytics on AWS – Part 2 (LATAM Spanish)

Introducción a lagos de datos, almacenes de datos y arquitecturas modernas en AWS, con servicios, patrones y casos prácticos de referencia.

• AWS Skill Builder
• 1 hour 30 minutes
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

Aspectos básicos del análisis en AWS: parte 1 (Español LATAM) | Fundamentals of Analytics on AWS – Part 1 (LATAM Spanish)

Explora los conceptos fundamentales del análisis de datos, las 5 V de los macrodatos y su aplicación mediante servicios de AWS.

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

Mastering AWS Glue, QuickSight, Athena & Redshift Spectrum

3728 ratings at Udemy

Master serverless analytics with AWS Glue, QuickSight, Athena, & Redshift Spectrum (includes preview features with labs)

• Udemy
• 18 hours 26 minutes
• Self-Paced
• Paid Course

Packt

Introduction to Data Engineering on AWS

Build and optimize ETL pipelines with AWS Glue data catalogs, job bookmarking, and data quality checks, then configure Redshift clusters, Spectrum, Serverless, and materialized views.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

Packt Career Certificate

Data Engineering on AWS - The Complete Training

Build data pipelines on AWS: run ETL with Glue, warehouse in Redshift, stream via Kinesis and MSK, query with Athena, and orchestrate using Step Functions.

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

Packt

AWS Data Processing and Analysis

Build and analyze data pipelines on AWS: Lambda functions, Glue ETL and DataBrew, EMR with Spark and Hive, plus Kinesis Analytics, Athena, OpenSearch and Redshift.

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