Data is growing for organizations at an alarming rate, which means there is a growing need for engineers who know how to gather insight from that data. That is where the AWS Data Analytics Specialty certification fits into the picture. This certification validates a deep understanding of AWS data analytics services and how they integrate. Once you have passed the exam, you should explain how AWS data analytics services fit into the data lifecycle and answer essential questions about what your organization’s data is providing.

This course covers major tools, topics, and services needed for a successful data analytics pipeline to help you gain hands-on experience and pass the exam. It is geared for people who want to enhance their skills in AWS to help organizations design and migrate their architecture to the cloud. It is the next step after obtaining your Cloud Practitioners Certification. It will expand on the skills you learned from the Cloud Practitioners. This course covers a broad range of topics with a specific concentration on High Availability, EC2, VPC, Storage, and Overall Management of the AWS Console.
You will learn AWS Sagemaker, AWS Machine Learning, Kinesis, Athena, Glue, QuickSight, Rekognition with Python, Jupyter notebooks, and much more.

Getting this certification will enable IT, professionals to boost their employability portfolio significantly. AWS is the leading cloud services organization in the world, and they have massively expanded. As a result, many companies are actively looking for AWS-certified professionals to advise on cloud migration.