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HomeCoursesData Science & AnalyticsData Engineering with Databricks

Data Engineering with Databricks

By edX with Pragmatic AI Labs

Data Science & Analytics

7.0
•1 verified reviewTrustScore
Our ratings use a 10-star system for more precise quality assessment
Online Course
9 hours
Beginner
Certificate Included
Visit Provider
Write a ReviewWrite a Story
TrustCourse Rating
Verified
B-
TRUST·SCORE
7.0
OUT OF 10
1 verified review
Good
Rating Distribution% of reviews
9-10
0%
8-9
0%
7-8
100%
6-7
0%
0-6
0%

DETAILED RATINGS

Content Quality
7.0
Instructor Delivery
7.0
Platform Experience
8.0
Value For Money
6.0
Learning Outcome
7.0
All reviews are verified by TrustCourse

Course Syllabus

1

Module 1 • Databricks Lakehouse Platform Fundamentals

2

Module 2 • Data Transformation and Pipelines

3

Creating, managing, and configuring clusters

4

Setting up Databricks with IntelliJ, RStudio, and CLI

5

Introduction to notebooks and multi-language support

6

Data transformation with Spark SQL and Catalog Explorer

7

Reliable data pipelines with Delta Lake and ACID transactions

8

Automated pipelines with Delta Live Tables

9

Orchestrating workloads with Databricks Jobs

10

Unified data access with Unity Catalog

TrustCourse AI AnalysisAI Generated
Based on public data analysis
•
Updated May 28, 2025
7.0/10
Good

Course Goal

Master data engineering on Databricks through hands-on labs, real-world projects and best practices for the modern data lakehouse

One-Minute Verdict

Comprehensive Databricks course by experienced instructors, but limited independent reviews make it hard to verify real-world effectiveness compared to alternatives.

PROS

  • Comprehensive curriculum covering modern data engineering practices
  • Taught by industry-experienced instructors with strong credentials
  • Part of larger Pragmatic AI Labs learning ecosystem

CONS

  • Limited independent student reviews and feedback
  • No clear pricing information available
  • Course content freshness unclear from available evidence

DETAILED AI RATINGS

Content Quality
7.0/10

Covers comprehensive topics like Delta Lake, Unity Catalog, and hands-on labs. Curriculum appears well-structured but lacks independent validation.

Instructor Delivery
7.0/10

Noah Gift has strong industry credentials and experience with major tech companies, but limited student feedback on teaching style.

Platform Experience
8.0/10

edX is a reliable, established platform with good video quality and learning management features.

Value For Money
6.0/10

At $249, price is typical for edX certificates, but short duration and limited feedback may not justify cost for all learners.

Learning Outcome
7.0/10

Promises practical skills through hands-on labs and real-world projects, but limited graduate feedback to verify outcomes.

DECISION GUIDE

Take This Course If

You want structured learning from experienced instructors and prefer edX platform

Good choice if you value comprehensive curriculum design and don't mind paying for potentially premium content.

Skip This Course If

You prefer courses with extensive student reviews and proven track records

Limited independent feedback makes it hard to verify effectiveness compared to alternatives like official Databricks Academy.

SOURCES & REFERENCES

  • https://www.edx.org/learn/computer-science/pragmatic-ai-labs-data-engineering-with-databricks
  • https://www.classcentral.com/course/computer-science-pragmatic-ai-labs-data-engineeri-289459
  • https://www.reddit.com/r/databricks/comments/1febmo6/is_databricks_academy_really_the_best_source_for/
  • https://paiml.com/blog/2024-11-25-complete-edx-learning-path-2024/
  • https://www.linkedin.com/posts/noahgift_dataengineering-edx-pragmaticailabs-activity-7207391377540665344-00Bj
  • https://www.edx.org/school/ai

About this AI Summary

This summary is generated by AI based on public internet data, including social networks and available articles.

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