• views: 149
• date: 29 May 2025
• posted by: 0nelove

Master the Fundamentals of Modern Data Engineering — No Experience Needed
What you'll learn
What is Data Engineering?
Identify Data Sources and Data Destinations
Define what a Data Pipeline is
Interact with an API using Python
Cleaning a Dataset using SQL and Python
Identify Transformations that can be applied to Data with Python and SQL
Orchestrate Data Pipelines with Airflow
Requirements
Basic programming knowledge with Python is highly recommended, but not mandatory
Basic knowledge of SQL
Familiarity with Computer Science
Description
Step into the world of Data Engineering with confidence and curiosity — no prior experience is required!"Data Engineering: From Zero to Hero" is the perfect starting point for anyone eager to understand how data is collected, transformed, stored, and used in today's tech-driven world.Whether you're an aspiring data professional, a curious developer, or someone trying to switch careers, this course will walk you through the core concepts, tools, and architectures that power data pipelines in modern organizations.In this course, you'll learn:What Data Engineering really is — and why it's crucial todayWhat a Data Engineer does on a daily basis and what kind of skills one needs to haveHow data flows through an organization using ETL/ELT pipelinesKey components of a modern data stack: databases, data lakes, data warehouses, orchestration tools, and moreThe essentials of data modeling, including star schema, normalization, and denormalizationWhy Data Pipelines orchestration is important and the basics of implementing itThis course combines clear explanations with practical examples to help you build a solid foundation in data engineering — the backbone of every data-driven company.By the end of the course, you'll have the confidence and clarity to dive deeper into specialized tools and start exploring hands-on projects.
Who this course is for
Data Professionals who want to become Data Engineers
Beginner Data Engineers
Software Engineers curious about Data Engineering
Data Analysis Professionals curious about Data Engineering




   
   
   

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