AWS Data Analytics Fundamentals Course Overview
The AWS Data Analytics Fundamentals Course Overview equips professionals with essential skills to harness the power of data analytics using AWS services. This course is vital for data analysts, data engineers, and business intelligence professionals, enabling them to make informed decisions and drive organizational success through effective data-driven strategies. Learn to unleash the potential of data in today's digital age.
Course outline & what you'll learn
- Introduction to Data Analytics on AWS
Overview of data analytics and its business importance
- Introduction to AWS and relevant services
- Data Collection
- Understanding data sources and ingestion methods
- AWS services for data collection: Amazon Kinesis, AWS Glue
- Data Storage
Overview of storage options: Amazon S3, Amazon Redshift
- Best practices for organizing and managing data
- Data Processing
- Introduction to processing frameworks: AWS Lambda, AWS Glue
- ETL (Extract, Transform, Load) processes in AWS
- Data Analysis
- Tools for data analysis: Amazon Athena, Amazon QuickSight
- Techniques for querying, reporting, and visualizing data
- Data Security and Compliance
- Security measures for data analytics in AWS
- Compliance considerations and best practices
- Case Studies and Real-World Applications
- Industry examples of AWS data analytics solutions
- Lessons learned and best practices
- Final Project and Course Review
- Hands-on project applying all course concepts
- Review of key takeaways and resources for continued learning
Why train with Traincrest
This AWS course is delivered by Traincrest's certified instructors, live online or in the classroom, with hands-on labs and a 98% exam success rate. Trusted by 500+ companies and 50,000+ students worldwide.