AWS Analytics Services - Hands-On Lab Demos
Course Overview
What You'll Learn
- Amazon Athena: Running serverless SQL queries directly on your S3 data.
- AWS Glue: Using crawlers to build a Data Catalog and running serverless ETL (Extract, Transform, Load) jobs.
- Amazon EMR: Launching and managing a big data cluster (like Spark) to process massive datasets.
- Amazon Redshift: Setting up a high-performance data warehouse and running complex analytical queries.
- Amazon QuickSight: Building and sharing interactive Business Intelligence (BI) dashboards to visualize your data.
- Amazon OpenSearch Service: Deploying a cluster for powerful log analytics, monitoring, and real-time search.
- Amazon MSK (Managed Kafka) & Kinesis: Understanding and configuring services for real-time data streaming.
- AWS Lake Formation: Building, securing, and managing a data lake in a matter of minutes.
- ...and more!
About This Free Course
Stop reading dry documentation and start seeing AWS Analytics services in action!
The AWS Analytics ecosystem is incredibly powerful, but learning it from theory alone is difficult. To truly understand how to build a data pipeline, you need to see these services working together.
This course is built on one simple principle: learn by watching practical, hands-on demos.
We skip the long, boring theory slides and get straight into the AWS console. This course is a comprehensive collection of over-the-shoulder lab python demonstrations for practice course where I walk you through the setup, configuration, and real-world use of the most important AWS Analytics services. You will see how to build, why we're clicking each button, and what the end result looks like.
This is not a "what is" course; this is a "how-to" course.
Join me as we build, configure, and run end-to-end analytics solutions. You will get detailed, practical demos of:
Amazon Athena: Running serverless SQL queries directly on your S3 data.
AWS Glue: Using crawlers to build a Data Catalog and running serverless ETL (Extract, Transform, Load) jobs.
Amazon EMR: Launching and managing a big data cluster (like Spark) to process massive datasets.
Amazon Redshift: Setting up a high-performance data warehouse and running complex analytical queries.
Amazon QuickSight: Building and sharing interactive Business Intelligence (BI) dashboards to visualize your data.
Amazon OpenSearch Service: Deploying a cluster for powerful log analytics, monitoring, and real-time search.
Amazon MSK (Managed Kafka) & Kinesis: Understanding and configuring services for real-time data streaming.
AWS Lake Formation: Building, securing, and managing a data lake in a matter of minutes.
...and more!
Who is this course for?
Data Engineers and Data Analysts who want to learn to build pipelines on AWS.
Solutions Architects who need to design modern data analytics solutions.
Developers who need to integrate data streaming or analytics into their applications.
Individuals preparing for the AWS Certified Data Analytics - Specialty exam.
Any tech professional who learns best by "seeing" and "doing" rather than just reading slides.
If you're ready to gain practical, hands-on confidence in the AWS Analytics stack, this course is for you.
Enroll today and let's start building!
Who Should Take This Course
"AWS Analytics Services - Hands-On Lab Demos" is aimed at people who want a practical, structured introduction to development without paying full price for it. It's a solid fit if you're starting out in development and want a guided course rather than piecing tutorials together yourself, if you've tried free YouTube content on the topic and want something more organized in around 15, or if you already work in a related area and want a refresher you can finish at your own pace. Since enrollment happens on Udemy itself, you keep full access to view the lectures, download any provided resources, and revisit the material later — this isn't a stripped-down or time-limited version of the course.
Why This Course Is Worth Taking
Our take: this listing earns a spot on FreeWebCart because the coupon we verified actually brings the price to $0, not just a token discount, and the course carries a 0/5 rating on Udemy from 0+ students who've already enrolled. That combination — real reviews plus a working 100% OFF code — is what we look for before publishing a development course. It won't replace hands-on experience or a full degree program, but as a low-risk way to test whether development is worth pursuing further, or to pick up one specific skill, the free price tag makes it an easy yes while the coupon lasts.
Pros & Cons
👍 Pros
- 100% free to enroll via this coupon (normally $44.99)
- Lifetime access on Udemy once enrolled, even after the coupon expires
- Self-paced — no fixed schedule or live sessions to attend
👎 Cons
- Coupon is time-limited and can expire before you enroll
- No live instructor support — questions go through Udemy's Q&A, not us
- Certificate is a Udemy completion certificate, not an accredited qualification
Frequently Asked Questions
Is "AWS Analytics Services - Hands-On Lab Demos" really free?
Yes — we verified a 100% OFF Udemy coupon for this development course before publishing it. Enroll directly on Udemy using the button below; no credit card is needed while the coupon is active.
How long will this coupon last?
Udemy coupons typically last 1–3 days or expire after roughly 1,000 enrollments, whichever comes first. If the price on Udemy no longer shows $0 when you click through, the coupon has expired since we last checked it.
Do I keep access after the coupon expires?
Yes. Once you enroll while the coupon is live, "AWS Analytics Services - Hands-On Lab Demos" is yours to keep on Udemy — including any future updates the instructor makes — even after the coupon runs out.
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