MongoDB Aggregation: Grouping Data Across Collections — PickAClass
⏱ 2h 42m 📚 27 lessons 🎧 Audio version

MongoDB Aggregation: Grouping Data Across Collections

Learn to query, join, and aggregate document data in MongoDB using modern pipelines to solve complex database challenges and analytical interview questions.

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About this course

Working with document databases often requires combining and summarizing data scattered across multiple collections to generate meaningful business insights. This text-only course guides you step-by-step through MongoDB’s powerful aggregation framework, showing you how to join collections, group data, and build analytical pipelines. What you'll learn: 1. Understand core MongoDB aggregation stages including match, group, and project. 2. Perform relational-style joins across multiple collections using lookup. 3. Apply modern aggregation operators to filter, transform, and restructure complex datasets. 4. Design efficient pipelines to generate sales, performance, and analytical reports. 5. Practice solving common query design challenges frequently encountered in technical interviews. Starting with foundational database concepts and pipeline syntax, you will progress to multi-stage operations and performance optimization techniques. This course is designed for beginners who want to master database queries and developers preparing for technical interviews, requiring no prior aggregation experience. Start reading today to unlock the full analytical power of document-based databases.

What you'll get

  • 📜 Certificate of completion
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  • 💬 Personal AI tutor
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  • 🎧 Audio version included
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  • ♾️ Lifetime access
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  • 📱 Phone or computer
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  • 💸 14-day refund
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  • Short & focused
    2h 42m of practical content

Certificate of completion

Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.

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has successfully demonstrated mastery of
MongoDB Aggregation: Grouping Data Across Collections
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1.2 hrs
Decision-architecture frameworks
Proficient
1.4 hrs
A/B test design
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1.7 hrs
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Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
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pickaclass.com/certificates/PCC-2026-X4F7-AP19
Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

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Just a phone or computer with internet. No installs, no special hardware.

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Yes — full refund within 14 days, no questions asked.

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Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.

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