AWS for Data Analysts Course in Chennai

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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.

Key Highlights:

✅ 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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₹16000

₹20000

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Case Studies and Projects

Hours of Training

20+

Placement Assurance

100%

Expert Support

Yes

Support & Access

Lifetime

Certification

Yes

Skill Level

All

Language

All

Course Objectives

1.What exactly AWS for Data Analysts training cover?

AWS for Data Analysts training covers using AWS data services like Athena, Redshift, and QuickSight for data querying, analysis, and visualization in the cloud.

2. What are the main objectives of the AWS for Data Analysts course for your development skills?

The course aims to develop your skills in querying large datasets, creating data visualizations, and leveraging AWS analytics tools to drive business insights.

3. Master Cloud Data Warehousing

Configure and manage Amazon Redshift clusters, designing optimized schemas, sorting keys, and distribution styles for enterprise analytics.

4. Automate Data Cataloging and ETL:

Utilize AWS Glue crawlers to build unified central data catalogs and design automated Extract, Transform, Load pipelines.

Popular Techniques Covered in This Course

1.Amazon S3 data storage

2.SQL querying with Athena

3.Data warehousing in Redshift

4.Dashboarding with QuickSight

5.Query performance tuning

6.AWS security and IAM roles

7.Cost optimization strategies

8.Data integration workflows

9.Visualization best practices

10.Certification readiness

Get Hands-on Knowledge about Real-Time Projects

Project 1

Project 1: Multi-Terabyte Serverless Retail Data Lake

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

Project 2: High-Performance Enterprise Redshift Data Warehouse

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

Project 3: Real-Time Clickstream Streaming Analytics Framework

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

Project 4: Granular Row-Level Financial Data Governance

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

Project 5: Interactive Executive QuickSight Dashboard (Capstone)

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.

Key Features

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

Curriculum

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

Receive Training From Our Skilled and Effective Trainers

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.

Succeed Our Resourceful Certification

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.

Course FAQs

Q1: What AWS services are used for data analysis?

Athena, Redshift, and QuickSight.

Q2: Who should take this course?

Data analysts and business intelligence professionals.

Q3: Does it cover SQL querying?

Yes, using Athena and Redshift.

Q4: Can I create visual reports?

Yes, with QuickSight.

Q5: Are data security topics included?

Yes, including IAM roles and encryption.

Q6: Is cost management covered?

Yes, to optimize analytics cost.

Q7: Will I learn AWS data storage basics?

Yes, primarily using S3.

Q8: Can I integrate multiple AWS tools?

Yes, integration of Athena, Redshift, and QuickSight.

Q9: Does the course include hands-on labs?

Yes, practical exercises included.

Q10: Is certification preparation provided?

Yes, with tips and practice questions.

Q11: What is the purpose of AWS Glue?

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.

Q12: How does Amazon Kinesis assist with big data workloads?

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.

Q13: What does AWS Lake Formation do?

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