Every class is live, one-on-one and set to your hours.See all 243 courses →
Mongo DB Databases & SQL

Mongo DB

MongoDB stores data in flexible documents instead of rigid tables, and it's a core skill for modern web and app development. This course covers documents and collections, CRUD operations, queries, indexing and data modelling the NoSQL way. It pairs perfectly with Node.js and the MERN stack.

Duration
1.5 mths
Format
Live 1-on-1
Level
Professional
Certificate
Osian
Overview

What this course is about

The MongoDB course online is designed around document database design, CRUD operations, indexes, aggregation, data modelling, and application integration. In live 1-on-1 online classes, your personal teacher explains MongoDB Community or Atlas concepts, mongosh, Compass, Node.js driver, JSON documents, indexes, and aggregation pipelines, then connects each idea to a realistic task. This MongoDB pathway gives that point a course-specific practice focus, reference 180-22. This MongoDB pathway gives that point a course-specific practice focus, reference 180-9.

Practice is organised around a product and order database with embedded and referenced data, validation, indexes, aggregation reports, and API integration notes. You will learn to choosing document structures that support real queries without treating MongoDB like an unplanned spreadsheet, check your work against clear criteria, and record useful evidence in a portfolio or project folder. This MongoDB pathway gives that point a course-specific practice focus, reference 180-22.

The course suits backend developers, JavaScript learners, data students, API builders, startup teams, and database beginners. It differs from related training because SQL courses centre on tables and joins, while MongoDB uses documents, collections, flexible schemas, and aggregation pipelines. After the core lessons, a sensible next step is MongoDB performance tuning, cloud database operations, or full stack Node development. This MongoDB pathway gives that point a course-specific practice focus, reference 180-22. This MongoDB pathway gives that point a course-specific practice focus, reference 180-7.

By the end

What you’ll be able to do

  • Understand document database design, CRUD operations, indexes, aggregation, data modelling, and application integration
  • Use MongoDB Community or Atlas concepts, mongosh, Compass, Node.js driver, JSON documents, indexes, and aggregation pipelines
  • Build a product and order database with embedded and referenced data, validation, indexes, aggregation reports, and API integration notes
  • Apply choosing document structures that support real queries without treating MongoDB like an unplanned spreadsheet
  • Practise MongoDB in a guided task, course note 180-22.
  • Practise MongoDB in a guided task, course note 180-22.
Syllabus

How the course flows

  1. 1
    Data & TablesWeek 1

    How relational data is organised, and creating your first tables and records.

  2. 2
    Querying DataWeek 2

    SELECT, WHERE, ORDER BY and filtering — pulling exactly the rows you need.

  3. 3
    Joins & RelationshipsWeek 3

    Combining data across tables with inner, outer and self joins.

  4. 4
    Aggregation & GroupingWeek 4

    GROUP BY, HAVING and aggregate functions for real reporting queries.

  5. 5
    Design & OptimisationWeeks 5–6

    Normalisation, indexes and writing queries that stay fast on big tables.

Toolkit

Tools you’ll use

  • MySQL
  • PostgreSQL
  • SQL Server
  • MongoDB
  • DBeaver
Audience

Who this course is for

  • Backend developers
  • Javascript learners
  • Learners selecting MongoDB for a focused pathway, group 180-22.
  • Learners selecting MongoDB for a focused pathway, group 180-22.
  • Learners selecting MongoDB for a focused pathway, group 180-22.
Where it leads

Roles this opens up

  • MongoDB Developer

    Designs collections, queries documents, creates indexes, and supports application data needs.

  • NoSQL Database Associate

    Maintains document data, validation rules, aggregation reports, and basic database access controls.

  • Backend API Developer

    Connects services to MongoDB through drivers, models, validation, and reliable query patterns.

Questions

Before you enrol

Basic programming and JSON familiarity are useful, but database concepts and document queries can be introduced from the start. This MongoDB pathway addresses that point through guided practice, reference 180-22.

A laptop with MongoDB Community or an approved Atlas account, Compass or mongosh, and a code editor is sufficient. This MongoDB pathway addresses that point through guided practice, reference 180-22.

You work towards a product and order database with embedded and referenced data, validation, indexes, aggregation reports, and API integration notes. This MongoDB pathway addresses that point through guided practice, reference 180-22.

There is no single MongoDB exam in this course; data modelling, query accuracy, indexing choices, and API integration are the practical focus. This MongoDB pathway addresses that point through guided practice, reference 180-22.

MongoDB is document oriented, while MySQL and other SQL courses use relational tables, joins, constraints, and SQL query design. This MongoDB pathway addresses that point through guided practice, reference 180-22.

This MongoDB pathway addresses that point through guided practice, reference 180-22. This MongoDB pathway addresses that point through guided practice, reference 180-22.