AWS for Data Analysts

Module 1: Introduction to AWS Analytics Services

• Overview of AWS Data Lakes and Analytics
• Introduction to key services: Athena, Redshift, QuickSight

Module 2: Data Storage and Management

• Using Amazon S3 for data storage
• Organizing data for analysis

Module 3: Querying Data with Amazon Athena

• Writing SQL queries on S3 data
• Partitioning and optimizing queries

Module 4: Data Warehousing with Amazon Redshift

• Redshift architecture and clusters
• Loading and querying data

Module 5: Data Visualization with Amazon QuickSight

• Creating dashboards and reports
• Using interactive visuals and filters

Module 6: Integrating AWS Analytics Services

• Connecting Athena and Redshift with QuickSight
• Automating data workflows

Module 7: Security and Access Management

• IAM policies for data services
• Data encryption and compliance

Module 8: Performance Optimization and Cost Management

• Tuning queries and clusters
• Cost-effective data analysis strategies

Module 9: Real-World Use Cases and Hands-on Labs

• Building end-to-end data analysis pipelines
• Practical exercises

Module 10: Certification Preparation and Exam Tips

• Sample questions and study guidance

Experience in the Industry Gain knowledge from experts with practical AWS for Data Analysts project experience in a variety of sectors.

Backgrounds at the Top Prominent corporations such as hcl, tcs , accenture  and cognizant  employ trainers.

Clear & Effective Teaching Excellent communication and real-world examples simplify complex subjects.

Hands-On Learning Focus Students can apply their abilities in real-world situations with the use of case studies and real-time projects.

Up-to-Date Knowledge Trainers stay current with the latest tools, techniques and best practices.