Master Big Data & Spark with practical projects and real-world datasets to kickstart your Data Engineering & AI/ML career.

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What you will learn

Data Engineering Course

Who Is This

Course For?

Aspiring Data Engineers & Data Scientists

ML & AI enthusiasts looking for hands-on Spark experience

Professionals wanting to upskill in Big Data technologies

Students looking for real-world project experience

Why Choose Us

Meet your mentor

Soumyadeep Dey

Soumyadeep Dey is a Senior Solutions Architect (Data & AI) at Microsoft, where he helps organizations build and scale intelligent, data-driven solutions.

Previously, he worked at Amazon Web Services (AWS India) as a Data & AI Architect, partnering with diverse customers to modernize their data and AI workloads.

With experience across 50+ customers and multiple industries, he brings real-world insights into his courses and projects, bridging the gap between learning and practical implementation.

Frequently Asked Questions (FAQs)

This course is ideal for students, working professionals, and tech enthusiasts who want to learn Big Data, Spark, PySpark, and Data Engineering through real, hands-on projects.

Basic Python knowledge helps, but everything from setup to advanced Spark operations is explained step-by-step — so beginners are welcome too!

Unlike typical theory-heavy courses, this one is completely project-based with real datasets (100GB–500GB) and focuses on practical, industry-relevant learning.

You’ll work with:

  • Apache Spark & PySpark

  • AWS EMR setup

  • Big Data ecosystem fundamentals

  • Spark DataFrames, Window functions, Transformations & Actions

Master Spark with - 100–500GB Datasets

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