The 9 Best AWS Data Analytics Courses & Online Training for 2025 – Solutions Review

Business Intelligence Buyer's Guide
The Best AWS Data Analytics Courses
Solutions Review editors compiled this list of the best AWS data analytics courses and online training to use when growing your skills.
SR Finds 106The first major cloud computing provider, Amazon Web Services (AWS) combines over 100 distinct services that cover a wide breadth of cloud capabilities. AWS focuses heavily on infrastructure-as-a-service (IaaS) and platform-as-a-service (PaaS) offerings, with an emphasis on providing virtual infrastructures and development tools, including storage, computing, database, mobility, and management services. The purpose of data analytics is to generate insights from data by connecting patterns and trends with organizational goals. Comparing data assets against organizational hypotheses is a common use case of data analytics, and the practice tends to be focused on business and strategy.
With this in mind, we’ve compiled this list of the best AWS data analytics courses and online training to consider if you’re looking to grow your cloud data analytics skills for work or play. This is not an exhaustive list, but one that features the best AWS data analytics courses and training from trusted online platforms. This list of the best AWS data analytics courses below includes links to the modules and our take on each.
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Platform: Amazon Web Services
Description: Learn to design and implement AWS services to derive insights and value from data. Explore practical examples and learn about data collection, ingestion, storage, processing, and visualization. Empower yourself with access to a broad range of courses (many free).
Platform: Coursera
Description: Start off with an overview of different types of data analysis techniques (descriptive, diagnostic, predictive and prescriptive) before diving deeper into descriptive analysis. Then, apply your knowledge with a guided project that makes use of a simple, but powerful dataset available by default in every AWS account: the logs from AWS CloudTrail.
Platform: edX
Description: Start off with an overview of different types of data analysis techniques (descriptive, diagnostic, predictive and prescriptive) before diving deeper into descriptive analysis. Then, apply your knowledge with a guided project that makes use of a simple, but powerful dataset available by default in every AWS account: the logs from AWS CloudTrail.
Platform: LinkedIn Learning
Description: Explore key analytics concepts, common methods of approaching analytics challenges, and how to work with services such as Athena, RDS, and QuickSight. Plus, discover how to visualize text-based data in a more visually intuitive way, use partner solutions for analytics from the AWS Marketplace, and more.
Platform: Pluralsight
Description: In this course, you’ll learn how to analyze, visualize, preprocess and feature engineer datasets to make them ready for subsequent machine learning steps. You’ll also learn how to prepare your data for the machine learning pipeline by doing preprocessing and feature engineering.
Platform: Pluralsight
Description: First, you’ll learn how to analyze streaming log files or other text data with Elasticsearch and how to visualize the data with Kibana. Next, you’ll discover how to directly query data in S3 using Amazon Athena along with the Glue Data Catalog and Glue crawlers. When you’re finished with this course, you’ll have learned key topics covered by the Amazon Data Analytics specialty exam.
Platform: Pluralsight
Description: First, you’ll explore using streaming services, like Kinesis and Firehose, within AWS to deliver data in near real-time. Next, you’ll discover how to best implement AWS big data services for your workloads. Finally, you’ll learn how to integrate a pub/sub architecture using AWS application services like SNS and SQS.
Platform: Udemy
Description: The course has been fully updated for the new AWS Certified Data Analytics -Specialty DAS-C01 exam (including new coverage of Glue DataBrew, Elastic Views, Glue Studio, and AWS Lake Formation), and will be kept up-to-date all of 2021. Optional content for the previous AWS Certified Big Data – Speciality BDS-C01 exam remains as well as an appendix.
Platform: Udemy
Description: The AWS Certified Data Analytics Specialty ( DAS-C01 ) exam is intended for individuals who perform in a data analytics-focused role. This exam validates an examinee’s comprehensive understanding of using AWS services to design, build, secure, and maintain analytics solutions that provide insight from data.

This article was written by Tim King on January 1, 2025
Tim is Solutions Review’s Executive Editor and leads coverage on data management and analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 “Who’s Who” in Data Management, Tim is a recognized industry thought leader and changemaker. Story? Reach him via email at tking@solutionsreview dot com.
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