Learn from AWS experts. Advance your skills and knowledge in Data Analytics.
Please note: We are changing the name of the AWS Certified Big Data - Specialty certification to AWS Certified Data Analytics - Specialty. Learn more.
This learning path is designed for individuals who design and implement AWS services to derive value from data. Learn about collection, ingestion, storage, processing, and visualization. Then get AWS Certified to validate the skills you’ve learned.
For best results, we recommend, but do not require, that individuals have technical AWS Cloud experience related to data analytics before beginning this learning path.
Recommended progressionFollow this recommended sequence of courses and exams to build your AWS Cloud skills in this Learning Path.
Data Analytics Fundamentals
In this self-paced course, you will learn about the process for planning data analysis solutions and the various data analytic processes that are involved. This course takes you through five key factors that indicate the need for specific AWS services in collecting, processing, analyzing, and presenting your data.
Digital | 3.5 hours
Big Data on AWS
This course is for solutions architects, data scientists, and anyone who designs or implements big data cloud solutions. Learn how to work with Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis, and the rest of the AWS Big Data platform to process data and create big data environments.
Classroom | 3 days
Exam Readiness: AWS Certified Data Analytics - Specialty
Prepare for the AWS Certified Data Analytics - Specialty exam by exploring the exam’s domain areas to review key concepts in data analytics on AWS and review foundational areas for future self-study. The training is intended for individuals with at least five years of hands-on experience with common data analytics technologies, and at least two years of hands-on experience working with AWS services to design, build, secure, and maintain analytics solutions.
Digital | 2 hours