Learn about NoSQL Document Databases and master Mongo Query Language, Aggregation Pipelines and more!
InstructorMalvik VaghadiaComidoc has tracked 1 coupon for this course since 2026, last checked 3 months, 18 days ago.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| MAY_DEALS | 50% off | Expired | 4d 13h |
The curriculum includes coverage of various pipeline stages including $match, $project, $group, $facet, and $unwind.
Instruction covers schema validation, relationship types like $lookup, and various index types including compound and partial indexes.
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This terminal output displays a collection of JSON documents containing company names and founding years, demonstrating how data is structured within MongoDB.
This screenshot shows the MongoDB Compass Explain Plan view for a query on the trips collection, detailing document counts, index usage, and execution stages.
This slide illustrates the MongoDB updateMany operation, showing the specific query syntax used to add a homework score to a student's record alongside the resulting document structure.
This introductory slide visualizes core MongoDB concepts including document structure, the Atlas ecosystem tools like Realm and Charts, and database architecture patterns such as replica sets and sharded clusters.
The Atlas UI has changed since these videos were recorded, and some content utilizes older MongoDB versions. This signal predates the displayed update date; while the update label may have addressed it, it does not prove a correction.
The curriculum lacks consolidated, high-complexity real-world projects to apply all concepts in a single context.
The content aligns with the beginner target audience but may be too basic for those seeking advanced complexity.
