The 9 Best AWS Data Analytics Courses & Online Training for 2023

Solutions Review editors compiled this list of the best AWS data analytics courses and online training to use when growing your skills.

The 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.

The Best AWS Data Analytics Courses

TITLE: Amazon Data Analytics Training

OUR TAKE: Navigating to this link will bring you to Amazon’s data analytics training portal, which features numerous ways to advance your skills and knowledge by learning from AWS experts.

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).

TITLE: Getting Started with Data Analytics on AWS

OUR TAKE: Learn how to go from raw data to meaningful insights using AWS with this one-week course. Throughout the training, you’ll learn about the fundamentals of data analytics from AWS experts.

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.

TITLE: Getting Started with Data Analytics on AWS

OUR TAKE: This training will help you understand at a very high-level different aspects of data analytics – such as ingestion, cleaning, processing, querying, visualization. This self-paced module takes roughly one week to complete.

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.

TITLE: Amazon Web Services: Data Analytics

OUR TAKE: Instructed by influencer Lynn Langit, this LinkedIn training describes common analytics architecture patterns, demonstrates how to set up AWS, and shows you how to prepare data visualizations with QuickSight.

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.

TITLE: Exploratory Data Analysis with AWS Machine Learning

OUR TAKE: This course will teach you how to do exploratory data analysis and leverage relevant AWS services. This is a beginner-level tutorial that will provide you with the skills needed to achieve the AWS Machine Learning specialty certification.

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.

TITLE: Analyzing Data on AWS

OUR TAKE: In this intermediate-level module, you’ll learn to configure and use Amazon Elasticsearch, Amazon Athena, Kinesis Data Analytics, and Amazon Redshift. It should take you around 2 hours to complete.

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.

TITLE: Implementing Analytics and Real Time Data in AWS

OUR TAKE: In this Pluralsight training, you’ll learn to leverage analytics and streaming services within AWS. This is an advanced-level training that is best suited for those already in possession of AWS analytics skills.

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.

TITLE: AWS Certified Data Analytics Specialty 2021 – Hands On!

OUR TAKE: This AWS training on Udemy includes more than 14 hours of instructional content (via on-demand video), 1 practice test, and 7 articles. This module is popular with more than 8,000 ratings.

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.

TITLE: AWS Certified Data Analytics Specialty Practice Exams

OUR TAKE: This Udemy training includes 6 practice tests to prepare you for the AWS Certified Data Analytics Practice test. Nearly 300 former students give this module an excellent rating of 4.5 stars.

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.

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