825 Ratings
Build in-demand cloud analytics skills with Edubrights' AWS for Data Analysts Course in Chennai. Designed for students, aspiring data analysts, business intelligence professionals, and working professionals, this training program helps you gain practical experience in analyzing, processing, and visualizing data using AWS cloud services.
Learn how organizations leverage AWS to store, manage, transform, and analyze large datasets for business intelligence and data-driven decision-making. Through hands-on labs, real-world datasets, and industry-focused projects, you will develop the skills needed to work with modern cloud-based analytics solutions and reporting workflows.
✅ Real-Time AWS Analytics Projects & Business Use Cases
✅ Hands-On Training with AWS Data Analytics Services
✅ Data Storage, Processing & Cloud Analytics Workflows
✅ Data Visualization, Reporting & Business Intelligence Concepts
✅ Practical Exposure to ETL, Data Pipelines & Data Management
✅ Certification Guidance & Career Development Support
✅ Resume Building, Mock Interviews & Placement Assistance
✅ Flexible Online, Classroom & Weekend Training Options
Start your cloud analytics journey with Edubrights and gain the practical knowledge needed to become a job-ready Data Analyst with AWS skills in today's data-driven industry.

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AWS for Data Analysts training covers using AWS data services like Athena, Redshift, and QuickSight for data querying, analysis, and visualization in the cloud.
The course aims to develop your skills in querying large datasets, creating data visualizations, and leveraging AWS analytics tools to drive business insights.
Configure and manage Amazon Redshift clusters, designing optimized schemas, sorting keys, and distribution styles for enterprise analytics.
Utilize AWS Glue crawlers to build unified central data catalogs and design automated Extract, Transform, Load pipelines.
Project 1
Ingest massive, unformatted csv retail transactional logs into Amazon S3. You will build an AWS Glue Crawler to scan the files, generate a central Data Catalog, and write optimized serverless Amazon Athena queries to isolate purchasing trends while reducing data scan expenses.
Project 2
Migrate a traditional relational database architecture into an optimized Amazon Redshift warehouse. You will choose the best distribution styles (KEY, EVEN, ALL) and sort keys to manage multi-million-row joins, accelerating executive business reports from minutes to seconds.
Project 3
Configure a live data ingestion architecture on AWS. You will utilize Amazon Kinesis Data Firehose to capture mock website clickstream traffic, convert the raw text data into optimized Parquet files on the fly, and stream them into storage for immediate analysis.
Project 4
Set up a secure corporate financial analytics database. You will utilize AWS Lake Formation to establish precise data security rules, verifying that regional analysts in Chennai can view local transaction rows while global financial metrics remain restricted to executive management.
Project 5
Build a comprehensive cloud analytics ecosystem. You will orchestrate data pipelines from multiple remote business segments into a central storage container, write automated transformation workflows to calculate company key performance indicators, and map the outputs to a live, interactive Amazon QuickSight dashboard with built-in ML trend forecasting alerts.
Edubrights offers AWS for Data Analysts Training in virtual mode with expert trainers. Here are the key features,
40 Hours Course Duration
100% Job Oriented Training
Industry Expert Faculties
Free Demo Class Available
Completed 500+ Batches
Certification Guidance
Module 1: Introduction to AWS Analytics Services
Module 2: Data Storage and Management
Module 3: Querying Data with Amazon Athena
Module 4: Data Warehousing with Amazon Redshift
Module 5: Data Visualization with Amazon QuickSight
Module 6: Integrating AWS Analytics Services
Module 7: Security and Access Management
Module 8: Performance Optimization and Cost Management
Module 9: Real-World Use Cases and Hands-on Labs
Module 10: Certification Preparation and Exam Tips
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.
Our certification validates your expertise in leveraging AWS analytics tools for data analysis and visualization. It prepares you for data analyst roles in cloud environments.

Athena, Redshift, and QuickSight.
Data analysts and business intelligence professionals.
Yes, using Athena and Redshift.
Yes, with QuickSight.
Yes, including IAM roles and encryption.
Yes, to optimize analytics cost.
Yes, primarily using S3.
Yes, integration of Athena, Redshift, and QuickSight.
Yes, practical exercises included.
Yes, with tips and practice questions.
AWS Glue is a fully managed ETL (Extract, Transform, Load) service. It automatically crawls your storage buckets to discover file schemas, populates a central data catalog, and runs scripts to clean and transform data for analytics.
Amazon Kinesis captures continuous, real-time data streams—such as live website clicks, IoT sensor feeds, or financial logs—allowing businesses to process and analyze data dynamically as it arrives instead of waiting for daily batch uploads.
AWS Lake Formation sits on top of your data lake infrastructure to simplify security setup. It provides a centralized console to enforce granular access controls, such as blocking specific columns or rows from certain user groups
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