AWS Analytics Courses and Certifications

Amazon Web Services;  Amazon

Digital Classroom - Building Streaming Data Analytics Solutions on AWS

Learn to build streaming data analytics solutions using AWS services like Amazon Kinesis and MSK. Gain skills in data ingestion, storage, processing, security, and cost management for real-time applications.

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

Complete Introduction to Amazon QuickSight

3947 ratings at Udemy

Quick and comprehensive way to learn how to use Amazon QuickSight to create dynamic analysis, reports and dashboards

• Udemy
• 5 hours 29 minutes
• Self-Paced
• Paid Course

AWS Glue - The Complete Masterclass

3490 ratings at Udemy

Master building complete AWS Glue ETL Pipelines, Glue Data Quality, Glue Data Brew along with other AWS resources

• Udemy
• 4 hours 11 minutes
• Self-Paced
• Paid Course

Amazon (AWS) QuickSight - Getting Started

2739 ratings at Udemy

Get started with Amazon QuickSight - AWS' Business Intelligence (BI) answer to Tableau and Power BI

• Udemy
• 5 hours 42 minutes
• Self-Paced
• Paid Course

Mastering Amazon Redshift Development & Administration

2546 ratings at Udemy

THE BEST Professional Amazon Redshift Training. Every NEW Redshift feature (even preview features) covered with labs.

• Udemy
• 18 hours 17 minutes
• Self-Paced
• Paid Course

AWS Redshift - A Comprehensive Guide For Beginners

2538 ratings at Udemy

Practical learning on Redshift, Core Features, Data & Cluster Management, Spectrum, Federated Query, Redshift ML & More.

• Udemy
• 6 hours 31 minutes
• Self-Paced
• Paid Course

Hands-on with Amazon Redshift

1807 ratings at Udemy

Learn to design and use Amazon Redshift for large-scale data warehousing in the cloud. Covers basics, data loading, distribution concepts, and advanced topics for optimal performance.

• Udemy
• 4 hours 31 minutes
• Self-Paced
• Paid Course

AWS Glue Getting Started

Discover, prepare, and combine data for analytics, ML, and app development using AWS Glue. Learn key concepts, benefits, and hands-on usage through AWS Management Console demonstrations.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

Amazon Redshift Primer

Explore cloud-native data warehousing with Amazon Redshift, learning core features, integrations, and key concepts through demonstrations and hands-on assessment.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

Amazon EMR Getting Started

Learn to efficiently process big data using Amazon EMR. Explore its benefits, architecture, and features for analytics and business intelligence through hands-on demonstrations with AWS Management Console and CLI.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

Coursera

AWS Data Automation: Glue & Lambda Integration

Master AWS Glue and Lambda integration to automate ETL pipelines, build data catalogs, and create serverless workflows for efficient cloud-native data processing solutions.

• Coursera
• 3 hours 38 minutes
• Self-Paced
• Paid Course

EDUCBA

Analyze and Build Dashboards Using AWS QuickSight

Master AWS QuickSight fundamentals, create compelling visualizations, and build professional dashboards that transform raw data into actionable business insights.

• Coursera
• 5 hours 14 minutes
• Self-Paced
• Paid Course

Packt

Big Data Collection and Storage in AWS

Master AWS big data collection and storage using Kinesis, IoT, DynamoDB, and S3. Build scalable, secure real-time data pipelines with hands-on lessons on encryption, permissions, and lifecycle management.

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

AWS Glue Getting Started

Discover, prepare, and combine data for analytics, ML, and app development using AWS Glue. Learn key concepts, benefits, and hands-on usage through AWS Management Console demonstrations.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

EDUCBA

Build AWS QuickSight Dashboards with Covid-19 Data

Master AWS QuickSight through hands-on Covid-19 dashboard creation, from data analysis to interactive visualizations and business intelligence reporting.

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