By edX with Pragmatic AI Labs
Master Python, Bash, and SQL for data engineering. Build scalable data pipelines, automate workflows, and gain hands-on experience with cutting-edge tools like Spark, Hadoop, Snowflake, Docker, and Kubernetes.
Comprehensive 8-course program from experienced instructors, but premium pricing and limited student feedback make it hard to assess real-world value.
Covers modern data engineering stack comprehensively. Created by Duke professors but lacks verified student outcomes data.
Led by experienced Duke faculty with industry partnerships. Strong academic credentials but teaching style unclear.
Standard edX platform reliability. 8-month timeline provides structure but may feel lengthy for some learners.
High cost at $3,233 (discounted) for 8 courses. Claims master's-level content but lacks market validation.
Promises industry-relevant skills with hands-on labs. Limited graduate success stories available for verification.
You have significant budget and want comprehensive, university-level data engineering education
The academic credentials and comprehensive curriculum justify the investment for serious career changers with resources.
You're budget-conscious or prefer learning from proven student outcomes
Free alternatives like DataTalks Club DE Zoomcamp offer similar skills with verified community success stories.
About this AI Summary
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