Udemy - Analytics Engineering for Beginners

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size428.3 MB
  • Uploaded Byfreecoursewb
  • Downloads36
  • Last checkedJul. 03rd '26
  • Date uploadedJul. 02nd '26
  • Seeders 1
  • Leechers6

Infohash : 6129160C4845735731D1248821A24B8220D8B0EB

Analytics Engineering for Beginners

https://WebToolTip.com

Published 6/2026
Created by Maven Analytics • 1,500,000 Learners, Alice Zhao
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 43 Lectures ( 1h 25m ) | Size: 428.4 MB

Learn what analytics engineers do, how modern data teams work, and the tools and concepts you need to break in

What you'll learn
⚡ Define the analytics engineering role and explain how it fits into a modern data team
⚡ Describe the components of the modern data stack, including data architectures and pipelines
⚡ Distinguish between key concepts like OLTP vs. OLAP, ETL vs. ELT, and databases vs. data warehouses vs. data lakes
⚡ Identify common real-world scenarios where an analytics engineer adds value

Requirements
❗ Basic understanding of data and databases is helpful, but not required (this is a beginner-friendly course)

Files:

[ WebToolTip.com ] Udemy - Analytics Engineering for Beginners
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Getting Started
    • 1. Course Introduction.mp4 (34.7 MB)
    • 2. Meet the Instructor.mp4 (3.6 MB)
    • 3. Course Outline.mp4 (7.9 MB)
    • 4. READ ME Important Notes for New Students.html (10.2 KB)
    • 5. Analytics Engineering 101.pdf (3.9 MB)
    • 5. DOWNLOAD Course Resources.html (5.7 KB)
    • 6. Setting Expectations.mp4 (4.9 MB)
    2 - Analytics Engineering Overview
    • 1. Analytics Engineering Overview.html (23.4 KB)
    • 10. Before vs After Analytics Engineering.mp4 (14.0 MB)
    • 7. Section Intro.mp4 (4.0 MB)
    • 8. What is Analytics Engineering.mp4 (17.1 MB)
    • 9. History of Analytics Engineering.mp4 (10.3 MB)
    3 - The Modern Data Stack
    • 11. Section Intro.mp4 (4.5 MB)
    • 12. Data Architectures.mp4 (17.1 MB)
    • 13. Data Pipelines.mp4 (25.4 MB)
    • 14. Modern Data Stack Tools.mp4 (28.5 MB)
    • 15. Modern Data Stack Summary.mp4 (16.9 MB)
    • 2. The Modern Data Stack.html (23.0 KB)
    4 - Common AE Scenarios
    • 16. Section Intro.mp4 (4.4 MB)
    • 17. Scenario 1 Multiple Sources of Truth.mp4 (5.4 MB)
    • 18. Scenario 2 Raw to BI Ready Data.mp4 (8.4 MB)
    • 19. Scenario 3 Metric Changes.mp4 (5.8 MB)
    • 20. Analytics Engineer Responsibilities.mp4 (11.8 MB)
    • 3. Common AE Scenarios.html (23.3 KB)
    5 - Data Terms & Definitions
    • 21. Section Intro.mp4 (5.2 MB)
    • 22. Data vs Metadata.mp4 (5.9 MB)
    • 23. Databases.mp4 (14.7 MB)
    • 24. Data Lakes.mp4 (7.0 MB)
    • 25. Data Warehouses.mp4 (15.9 MB)
    • 26. Data Marts.mp4 (5.5 MB)
    • 27. Lakehouses.mp4 (7.4 MB)
    • 28. Data Term Summary.mp4 (10.8 MB)
    • 29. Storage Solutions in Practice.mp4 (14.5 MB)
    • 4. Data Terms & Definitions.html (22.9 KB)
    6 - OLTP vs OLAP
    • 30. Section Intro.mp4 (3.9 MB)
    • 31. AE Acronyms Overview.mp4 (13.6 MB)
    • 32. OLTP vs OLAP.mp4 (6.3 MB)
    • 33. OLTP Example.mp4 (5.1 MB)
    • 34. OLAP Example.mp4 (9.1 MB)
    • 35. OLTP to OLAP Summary & FAQs.mp4 (16.8 MB)
    • 5. OLTP vs OLAP.html (23.4 KB)
    7 - ETL vs ELT
    • 36. Section Intro.mp4 (3.1 MB)
    • 37. ETL Extract-Transform-Load.mp4 (10.9 MB)
    • 38. ELT Extract-Load-Transform.mp4 (9.8 MB)
    • 39. ETL vs ELT Summary & FAQs.mp4 (5.9 MB)
    • 6. ETL vs ELT.html (22.8 KB)
    8 - Key Takeaways
    • 40. Section Intro.mp4 (3.5 MB)
    • 41. AE Overview Key Takeaways.mp4 (13.3 MB)
    • 42. AE Foundations Key Takeaways.mp4 (11.6 MB)
    9 - Next Steps
    • 43. BONUS LESSON.html (18.0 KB)
    • Bonus Resources.txt (0.1 KB)

Code:

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