By Coursera with IBM
Build foundational data engineering skills in Python, SQL, ETL, NoSQL, and Big Data technologies for entry-level roles through hands-on projects.
Comprehensive syllabus covering modern data engineering stack, but plagued by broken labs, outdated IBM Cloud platform issues, and superficial content delivery.
Broad coverage of data engineering topics but superficial depth, broken labs, and outdated cloud platform examples undermine learning.
AI-generated videos lack engagement; rushed explanations of specific coding examples without theoretical foundation.
Frequent IBM Cloud platform failures, broken labs, missing libraries, and month-long support response times create frustration.
At $45/month for ~5 months, affordable but poor execution quality makes alternatives more worthwhile.
Provides foundational awareness but technical issues prevent practical skill development; better for concept introduction only.
You need basic awareness of data engineering concepts and your employer is paying
Useful for foundational vocabulary and broad exposure, but expect to supplement with additional resources for practical skills.
You want hands-on technical skills or have limited time/budget
Technical issues make learning frustrating; Google or Meta certificates offer better execution and industry relevance.
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