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Data Wrangling with MongoDB 

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Data Wrangling with MongoDB
 at 
Coursera 
Overview

Duration

21 hours

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Total fee

Free

Mode of learning

Online

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Credential

Certificate

Data Wrangling with MongoDB
 at 
Coursera 
Highlights

  • Earn a certificate from Edureka
  • Add to your LinkedIn profile
  • 26 quizzes
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Data Wrangling with MongoDB
 at 
Coursera 
Course details

What are the course deliverables?
  • What you'll learn
  • Working with MongoDB database fundamentals, replication, fault tolerance, data visualization techniques, and optimizing database performance.
More about this course
  • 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. 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.
Read more

Data Wrangling with MongoDB
 at 
Coursera 
Curriculum

Getting Started with Databases: Exploring the Fundamentals of MongoDB

Course Introduction

Overview of Databases

SQL versus NoSQL: Key Differences

SQL Syntax in Databases

SQL Commands - I

SQL Commands - II

Significance of MongoDB

MongoDB Data Model - I

MongoDB Data Model - II

CRUD Operations in MongoDB

Learn to Design Schema in MongoDB

Document Structure and Nesting - I

When to Use Nesting?

Document Structure and Nesting - II

Handling Data Consistency and Redundancy

Query Performance with Indexing

Filtering Documents Using MQL - I

Filtering Documents Using MQL - II

MongoDB Sorting and Limiting

Update Operation on MongoDB

Deletion Operation on MongoDB

Data Manipulation Using Aggregation

Geospatial Data and Indexing

Data Wrangling with MongoDB: Getting Started

Introduction to Databases

Installation of MongoDB (Windows, Linux, MacOS)

Design Schema

Query Performance

Exploring the Fundamentals of MongoDB

Knowledge Check: Introduction to Databases

Knowledge Check: Fundamentals of MongoDB

Knowledge Check: Data Modeling in MongoDB

Knowledge Check: Querying in MongoDB

End Module Quiz: Getting Started with Databases: Exploring the Fundamentals of MongoDB

Database Applications

CRUD Operations

Data Redundancy

Geospatial Operators

Data Wrangling and Replication with MongoDB

Importing Data into MongoDB - I

Importing Data into MongoDB - II

Export Data to Various Formats - I

Export Data to Various Formats - II

Data Migration and Backups

Managing Inconsistent and Redundant Data

Data Sorting and Filtering - I

Data Sorting and Filtering - II

Data Type Conversions and Inconsistencies - I

Data Type Conversions and Inconsistencies - II

Data Transformation with Aggregation Pipelines - I

Data Transformation with Aggregation Pipelines - II

Data Analysis

Adopt MongoDB Security Best Practices

Set Up Authentication and Authorization

Security against Common Threats

Analyze and Improve Query Performance - I

Analyze and Improve Query Performance - II

Analyze and Improve Query Performance - III

Optimize Indexing Strategies - I

Optimize Indexing Strategies - II

MongoDB Profiler and Performance Advisor - I

MongoDB Profiler and Performance Advisor - II

Exemplifying MongoDB Replication Concepts - I

Exemplifying MongoDB Replication Concepts - II

Configuring and Managing Replica Sets - I

Configuring and Managing Replica Sets - II

Ensure High Availability and Fault Tolerance - I

Ensure High Availability and Fault Tolerance - II

Backup and Recovery Strategies

Toolset for Backup and Restoration - I

Toolset for Backup and Restoration - II

Disaster Recovery Management

Data Import and Export

Inconsistent and Redundant Data

Security in MongoDB

MongoDB Performance Optimization

MongoDB Replication and High Availability

MongoDB Tools for Backup and Recovery

Data Wrangling and Replication with MongoDB

Knowledge Check: Data Import and Export

Knowledge Check: Data Wrangling and Transformation

Knowledge Check: Security in MongoDB

Knowledge Quiz: MongoDB Performance Optimization

Knowledge Quiz: High Availability and Replication

Knowledge Quiz: MongoDB Tools for Backup and Recovery

End Module Quiz: Data Wrangling and Replication with MongoDB

Data Importing Techniques

Data Transformation

Third-party Security Tools

MongoDB Database

Scaling and High Availability

Backup and Restoration Process

Deep Dive in MongoDB - I

Introduction to MongoDB Sharding - I

Introduction to MongoDB Sharding - II

Why Sharding?

Benefits and Advantages of Sharding

Configure and Manage Sharded Clusters

Hands-on: Configure and Manage Sharded Clusters

Shard Keys and Data Distribution

MongoDB Atlas: Cloud-Based Service Installation

Cloud Deployment and Management in MongoDB - Part I

Cloud Deployment and Management in MongoDB - Part II

Explore MongoDB Cloud Product

Setting up Monitoring Tools

Hands-on: Setting up the Monitoring Tools

Analyze Performance Metrics

Hands-on: Analyze Performance in MongoDB Compass

Troubleshoot Common MongoDB Issues - Part I

Troubleshoot Common MongoDB Issues - Part II

Load Balancing in MongoDB

Caching Strategies in MongoDB - I

Caching Strategies in MongoDB - II

Managing Servers in MongoDB

Infrastructure as a Service (IaaS)

Sharding in MongoDB

Setup Guide for MongoDB Atlas

Monitoring Tools

Scaling and Load Balancing

Deep Dive in MongoDB - I

Knowledge Check: Overview of Sharding in MongoDB

Knowledge Check: MongoDB Atlas and Cloud Deployment

Knowledge Check: Monitoring and Troubleshooting Issues in MongoDB

Knowledge Quiz: Aspects of Scaling MongoDB

End Module Quiz: Deep Dive in MongoDB - I

Backup and Recovery for MongoDB

Database using MongoDB Atlas

MongoDB Monitoring Tools

Horizontal Scaling in MongoDB

Deep Dive in MongoDB - II

Data Governance Policies in MongoDB

General Data Protection Regulations (GDPR) - Part I

General Data Protection Regulations (GDPR) - Part II

Handling Sensitive Data

Dive Deeper into Query Optimization Techniques

Query Hints and Planner - Part I

Query Hints and Planner - Part II

Optimize Query Performance Analysis

Advanced Aggregation Operations

Custom Functions and Expressions

Hand-on: Custom Functions and Expressions

Data Transformation

Work with Time Series Data

Time Series Collections and Indexing

Perform Time-Based Analytics

Data Governance

Query Optimization

Aggregation Framework

Time Series Data in MongoDB

Advanced Aggregation Operations

Knowledge Quiz: Data Governance and Compliance in MongoDB

Knowledge Quiz: Advanced Query Optimization

Knowledge Quiz: Advanced Aggregation Framework

Knowledge Quiz: Time Series Data in MongoDB

End Module Quiz: Deep Dive in MongoDB - II

Data Security

Query Optimization

Advanced Aggregation

Time Series Data

Data Analytics with MongoDB

Real-Time Ingestion and Processing

Data Monitoring with Change Streams

Building Real-Time Applications

Visualize Data with Visualization Tools

Generate Interactive Reports and Dashboards

Communicate Insights from MongoDB Data Effectively

Data Processing with MongoDB

Connect MongoDB to Data Visualization Tools

Data Analytics with MongoDB

End Project: Sample E-Commerce System with MongoDB

Practice Project: Transforming Raw Data into Business Insights

Knowledge Check: Data Processing with MongoDB

Knowledge Check: Connect MongoDB to Data Visualization Tools

End Module Quiz: Data Analytics with MongoDB

End Course Knowledge Check: Data Wrangling with MongoDB

Data Processing Pipelines

Data Visualization Tools

Data Wrangling with MongoDB
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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