Coursera

Data Wrangling with MongoDB (Coursera)

Offered by Edureka,
Data Wrangling with MongoDB (Coursera)

Embark on the "Data Wrangling with MongoDB" course journey, designed to introduce you to the effective methods of MongoDB for improved cost-efficiency and optimal database performance. Throughout this course, you'll dive into MongoDB's specific applications in various industries and understand its fundamental concepts and best practices.

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By the end of this program, you will be equipped to:

  • Interpreting the core concepts and principles of NoSQL databases and MongoDB, including data modelling, document structure, and data manipulation.
  • Design and implement efficient and scalable MongoDB database schemas that meet specific application requirements.
  • Create and manage indexes to improve query performance and optimize database operations.
  • Manage MongoDB databases effectively, including backup and restoration, monitoring, and troubleshooting common issues.

This course is tailored for Beginners, Database Administrators, Software Developers, IT Professionals, Data Engineers, Data Analysts, Product Managers, and anyone interested in enhancing their MongoDB and database management skills.
Prior knowledge of databases and basic programming skills are helpful for this course.
Embark on an educational journey with MongoDB, unlocking the secrets of database management and sharpening your expertise.

What you'll learn
Working with MongoDB database fundamentals, replication, fault tolerance, data visualization techniques, and optimizing database performance.

Syllabus

Getting Started with Databases: Exploring the Fundamentals of MongoDB
The course starts with an overview of databases and MongoDB's architecture. Following modules cover installation, data modeling, CRUD operations, indexing, performance optimization, security, backup, NoSQL concepts, and real-world applications. Each module fosters hands-on, preparing participants for MongoDB implementation in various contexts.

Data Wrangling and Replication with MongoDB
This module hones skills crucial for adept data handling and replication in MongoDB. Participants delve into MongoDB fundamentals, mastering data cleaning, modeling, and optimization. Emphasis is on real-world applications, ensuring a comprehensive understanding of MongoDB's versatile capabilities for efficient database management in diverse scenarios.

Deep Dive in MongoDB - I
This module, titled "Deep Dive in MongoDB - I," sharpens participants' skills in nuanced data management and MongoDB operations. Covering fundamental MongoDB principles, it delves into indexing, performance optimization, and complex querying, providing a comprehensive understanding of MongoDB's capabilities for effective database handling.

Deep Dive in MongoDB - II
This module extends the exploration of MongoDB, focusing on advanced concepts in data management. Topics include intricate querying, indexing, and performance optimization, providing participants with a thorough grasp of MongoDB's capabilities for effective and nuanced database operations.

Data Analytics with MongoDB
This module immerses participants in the realm of data analytics using MongoDB, covering essential topics for effective database operations. Emphasizing techniques such as data modeling, aggregation, and query optimization, it equips learners with skills to harness MongoDB's capabilities for insightful data analysis and decision-making.

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