Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With Analytics Engineering Build an End– to– End ELT Data Pipeline, you’ll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
Published 9/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 34m | Size: 1.43 GB
Build a real-world ELT project with Python, SQL, DuckDB, dbt, automated testing, Streamlit dashboards and GitHub
What you’ll learn
Requirements
Description
Analytics Engineering project from start to finish
e-commerce ELT pipeline
Python, pandas, and FakerDuckDB
dbt — data build toolBronze, Silver, and Gold architecture
automated dbt tests
completed orders, gross revenue, gross profit, and profit margin
interactive Streamlit dashboard with Plotly
README
Git and GitHub
Python, SQL, DuckDB, dbt, Streamlit, and GitHub work together as part of a modern Analytics Engineering workflow
portfolio-ready Analytics Engineering project
Who this course is for
Homepage
https://www.udemy.com/course/analytics-engineering-build-an-end-to-end-elt-data-pipeline/
