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MongoDB: Data Wrangling Basics to Advanced Analysis

Master MongoDB database management, learn data cleaning, transformation, and analysis techniques for efficient data handling and visualization.

Master MongoDB database management, learn data cleaning, transformation, and analysis techniques for efficient data handling and visualization.

This comprehensive course provides in-depth training in MongoDB database management and data wrangling techniques. Students learn essential MongoDB concepts, from basic operations to advanced data manipulation strategies. The curriculum covers database fundamentals, replication, sharding, performance optimization, and data visualization. Through hands-on modules, learners master data cleaning, transformation, security implementation, and analytics integration, preparing them for real-world database management challenges.

Instructors:

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MongoDB: Data Wrangling Basics to Advanced Analysis

This course includes

21 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

2,435

What you'll learn

  • Interpreting core concepts of NoSQL databases and MongoDB

  • Design and implement efficient MongoDB database schemas

  • Create and manage indexes for improved query performance

  • Master data cleaning and transformation techniques

  • Implement security best practices and performance optimization strategies

Skills you'll gain

MongoDB
Database Management
Data Wrangling
NoSQL
Data Modeling
Query Optimization
Data Analytics
Aggregation Framework
Database Security
Performance Tuning

This course includes:

503 Minutes PreRecorded video

26 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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There are 5 modules in this course

This comprehensive MongoDB course covers the complete spectrum of data management and analysis. The curriculum spans five detailed modules, progressing from fundamental database concepts to advanced data analytics. Students learn MongoDB architecture, data modeling, CRUD operations, indexing, and performance optimization. The course emphasizes practical skills in data wrangling, including cleaning, transformation, and visualization techniques. Advanced topics include replication, sharding, security implementation, and real-time data processing.

Getting Started with Databases: Exploring the Fundamentals of MongoDB

Module 1 · 4 Hours to complete

Data Wrangling and Replication with MongoDB

Module 2 · 5 Hours to complete

Deep Dive in MongoDB - I

Module 3 · 4 Hours to complete

Deep Dive in MongoDB - II

Module 4 · 3 Hours to complete

Data Analytics with MongoDB

Module 5 · 3 Hours to complete

Fee Structure

Payment options

Financial Aid

Instructor

Edureka
Edureka

45,069 Students

47 Courses

Inspiring the Next Generation of Tech Professionals

Edureka is dedicated to providing high-quality, instructor-led online training, empowering professionals to enhance their skills in various domains. The platform features a diverse team of experienced instructors who are passionate about teaching and possess extensive industry knowledge. These instructors facilitate a wide range of courses covering topics such as data science, artificial intelligence, machine learning, and cloud computing. Edureka's commitment to education is reflected in its innovative approach to learning, which includes interactive sessions, real-world projects, and 24/7 support for students. By fostering a collaborative learning environment, Edureka ensures that learners not only acquire technical skills but also develop critical thinking and problem-solving abilities essential for success in today's fast-paced job market.

MongoDB: Data Wrangling Basics to Advanced Analysis

This course includes

21 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

2,435

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.