ETL Pipelines Fundamentals
Data Science & AI › Data Engineering

ETL Pipelines Fundamentals

Learn ETL Pipelines by building real things, step by step

By Ramesh Gupta ★ 0.0 (0 ratings) Intermediate English 0 learners

What you'll learn

  • Understand the core concepts of ETL Pipelines and how they fit together
  • Build hands-on projects using ETL Pipelines that you can add to your portfolio
  • Apply ETL Pipelines to solve real, practical problems in Data Science & AI
  • Follow industry best practices and avoid common ETL Pipelines mistakes
  • Gain the confidence to use ETL Pipelines at work and in interviews

Skills you'll gain

ETL Pipelines Practical Projects Debugging Best Practices Problem Solving Data Engineering

About this course

ETL Pipelines is one of the most useful skills in Data Science & AI today, and this course makes it approachable and practical. Through guided projects in Data Engineering, you'll build real understanding rather than memorising steps. Created by Ramesh Gupta, the course pairs clear explanations with hands-on practice so the ideas stick. You'll come away able to apply ETL Pipelines to your own work and on job-relevant, Hyrespot-matched roles.

Curriculum

Getting Started

  • Welcome and what you'll build video · 07:00 ▶ Free preview
  • ETL Pipelines in 10 minutes video · 08:00 ▶ Free preview
  • Your first ETL Pipelines walkthrough video · 09:00
  • Hands-on exercise video · 10:00

Core Concepts

  • Common patterns in practice video · 14:00
  • Building the project — part 1 video · 15:00
  • Debugging and troubleshooting video · 16:00
  • Performance and optimisation video · 17:00
  • Testing your work video · 06:00

Hands-On Practice

  • Performance and optimisation video · 09:00
  • Testing your work video · 10:00
  • Welcome and what you'll build video · 11:00

Building Real Projects

  • Welcome and what you'll build video · 16:00
  • ETL Pipelines in 10 minutes video · 17:00
  • Your first ETL Pipelines walkthrough video · 06:00
  • Hands-on exercise video · 07:00

Going Deeper

  • Common patterns in practice video · 11:00
  • Building the project — part 1 video · 12:00
  • Debugging and troubleshooting video · 13:00
  • Performance and optimisation video · 14:00
  • Testing your work video · 15:00