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In this course, you develop essential skills that will help you think like a data analyst. You explore key data types and structures, and apply this knowledge directly to discussions on SQL and NoSQL databases. The course also places significant emphasis on the extract, transform, and load (ETL) process. Through each step, you gain insights into handling data, ensuring data quality, managing databases effectively, and integrating data seamlessly. Additionally, you learn about essential AWS services for data analysis and reinforce your learning through practical labs that prepare you for real-world scenarios.
This course starts by introducing fundamental concepts in data analysis. You begin with how to assess use cases for data analysis in the cloud. After exploring some of the main data types and structures, you’ll complete the module by contrasting two data-processing approaches for analytics: extract, transform, and load (ETL) and extract, load, and transform (ELT).
You’ll then transition to start learning about the ETL pipeline, review AWS services for data analysis, and reinforce your learning through practical labs. These services include Amazon API Gateway, Amazon Relational Database Service (Amazon RDS), Amazon DynamoDB, and Amazon QuickSight. You review these services in the AWS Management Console, and evaluate how you can use each service in the ETL process. Then, you gain practical experience by working with some of these service in a preconfigured environment.
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Week 1: Foundations of data analysis
Welcome to the course
Data-driven decisions are better decisions
ETL and ELT basics
Wrapping up Module 1
Week 2: ETL and database foundations
Extracting, transforming, loading, and visualizing (ETLv)
Databases and SQL queries overview
Wrapping up Module 2
Week 3: AWS Services for ETL
Welcome to Module 3
AWS services for ETL
Wrapping up Module 3
Q. Are there any prerequisites for this course?
A. There are no required prerequisites for this course. However, we recommend that leaners have a general understanding of cloud computing and security concepts.
Q. Are there hands-on activities in this course?
A. Yes, this course includes hands-on lab exercises. However, these exercises are restricted to learners in the Verified Certificate Track.
Q. How much time will this course require?
A. If following the weekly schedule, learners should plan to spend 2-4 hours per week on this course. However, learners may complete the course at their own pace.
Q. Will I receive a certificate for this course?
A. Learners enrolled in the Verified Certificate path will receive a certificate upon successful completion of the course.
Q. What is the grading policy for this course?
A. All learners may take weekly quizzes, which are not graded and allow unlimited retries.
Learners in the Verified Certificate track are able to take the final course assessment in the course. Passing the final assessment is required to obtain the Verified Certificate.
Learners in the Audit track will not have access to the final assessment, and will not be able to earn a certificate.
Q. When will course content be available?
A. All course content will be available when the course opens. Since AWS frequently publishes service updates and new features/functionality, there may be a need to update the course content during its lifetime. If course content is updated, a notice will be placed on the course home page.
Q. Will this course help me prepare for an AWS Certification?
A. Earning an AWS Certification typically requires both knowledge and experience. While this course, if taken in isolation, will provide you with baseline information about cloud security, it will not equip you to earn an AWS Certification. For more information about AWS Certifications, including recommended training and experience requirements, visit aws.amazon.com/certification.
