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Keep shoppingIntroduction to MongoDB for Data Analytics
Highest Rated
1,759 students
Introduction to MongoDB for Data Analytics
Learn the basics of MongoDB with step by step exercises from a professional Web Developer.
Created byBrian Dowe, SuperDataScience Team, Ligency
Last updated 6/2024
English
What you'll learn
- MONGODB BASICS:
- Create your own databases from scratch
- Learn MongoDB Architecture: databases, documents, collections, key-value pairs
- Use CRUD operations in the mongo shell
- DATABASE DESIGN:
- Use Embedded Documents to represent relationships in data
- Use various data structures to design a database for a blogging website case study
- DATA ANALYSIS
- Analyze real world datasets with projection, sorting, and filtering
- Use query operators to examine correlations between features in data
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Course content
9 sections • 79 lectures • 5h 59m total length
Requirements
- PC with Internet Access
- Desire to learn NoSQL technology
Description
In this course, we'll begin by covering the basics of MongoDB and the key differences between NoSQL and SQL to help you build an intuitive understanding of foundational concepts for the course. This will be followed by engaging practical exercises to help you understand how to use database operations in the Mongo Shell.
You'll then move on to designing your own database to store data for a blogging website, exploring how different data structures can be best-suited to solve different problems depending on the use case.
Finally, we'll move on to data analysis. You'll use filtering, projection, sorting, and querying complex data structures to extract actionable insights from real world datasets. You'll build these skills through a blogging website case study and then apply them on an E-Commerce data analysis challenge.
Who this course is for:
- Database Administrators
- Data Scientists
- Anyone who is interested in NoSQL databases
- Data Analysts
- Big Data Enthusiasts