Data Analytics Project End-to-End using AWS (2026): Step-by-Step Tutorial
Skills:
ML Pipelines80%
Key Takeaways
Builds an end-to-end data analytics project using AWS step-by-step
Original Description
Build a complete End-to-End Data Analytics Project on AWS | Step-by-Step Tutorial
📌📌 To build more data analytics end-to-end projects, Join BEPEC Data Analytics Job-Switch Course with Experience Building: https://bepec.in/data-analytics-course-for-working-professionals/
In this video, you'll learn how to build a real-world Data Analytics Project on AWS from scratch, perfect for freshers, career switchers, and anyone preparing for Data Engineering and Data Analyst roles.
I'll walk through the entire data pipeline using core AWS services, so you understand exactly how data flows in a production-grade analytics setup.
📌 What you'll learn in this AWS Data Analytics Project:
✅ Ingesting raw data into Amazon S3
✅ Cataloging and transforming data with AWS Glue
✅ Querying data using Amazon Athena
✅ Building dashboards & visualizations with Amazon QuickSight
✅ Orchestrating the pipeline end-to-end
✅ Best practices for a resume-worthy AWS project
🛠️ AWS Services Covered: S3 | Glue | Athena | QuickSight | IAM | Lambda
🎯 Who is this for?
Aspiring Data Engineers & Data Analysts
Freshers building a portfolio project
Working professionals switching to AWS & Cloud Data roles
Anyone preparing for AWS Data Analytics interviews
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