Building a Modern Data Warehouse – Data Engineering Bootcamp
Published 3/2025
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Master Data Warehousing, ETL, SQL, Data Modeling, and Analytics through Real-World Projects & Hands-On Practice
What you’ll learn
Master Real-World Data Warehousing Skills: Learn Data Warehousing, ETL pipelines, SQL scripting, and Data Modeling through hands-on projects
Build Your Own Data Warehouse from Scratch: Develop practical experience by creating robust Bronze, Silver, and Gold layers
Building ETL Processes: Learn to efficiently build data ingestion, ensure data accuracy, and deliver optimized data transformations
Create Professional Data Documentation & Visualization: Build compelling data flows, documentation, and detailed visualizations using DrawIO and Notion
Become interview-ready and confidently secure high-paying Data Engineer and Analyst roles by mastering practical, marketable skills in high demand.
Enhance your professional portfolio by creating detailed data documentation, visualizations, and a comprehensive Data Catalog.
Requirements
No prior experience in Data Warehousing or Data Engineering required-perfect for beginners and career changers!
Basic SQL knowledge (simple queries, SELECT statements, basic table joins).
A computer with internet access and willingness to learn through practical, hands-on projects.
Description
Who this course is for
Complete beginners looking to build a strong foundation in SQL from scratch
Data engineers looking to design robust ETL pipelines and data warehouses.
Data analysts and business intelligence professionals seeking advanced techniques for complex data queries and analytics.
Students in data science, computer science, or related fields who want a practical, hands-on approach to SQL.
Data scientists wanting to leverage SQL for exploratory data analysis
SQL learners and Data Professionals aiming to advance their careers with modern, in-demand skills
Career changers and IT professionals looking for a clear, structured path to high-paying roles in Data Engineering and Analytics.
Business Intelligence enthusiasts and analysts who want to deepen their understanding of data infrastructure and analytical workflows through real-world scenarios.
