The Data Wrangling with MongoDB course introduces practical techniques for utilizing MongoDB to enhance cost efficiency and improve database performance. Learners will gain insights into how MongoDB is applied across industries, along with a solid understanding of its core concepts, data modeling strategies, and best practices for managing unstructured data effectively.
Data Wrangling with MongoDB
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
Recommended experience
Intermediate level
Familiarity with databases, basic programming skills, and data manipulation techniques are helpful prerequisites for this course.
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
Recommended experience
Intermediate level
Familiarity with databases, basic programming skills, and data manipulation techniques are helpful prerequisites for this course.
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Understand MongoDB fundamentals including JSON, BSON, collections, and replication.
Perform advanced data wrangling using aggregation pipelines and indexing strategies.
Work with MongoDB in cloud environments and compare NoSQL approaches.
Apply MongoDB for analytics, performance tuning, and real-world business use cases.
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
26 assignments
Taught in English
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There are 5 modules in this course
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.
What's included
23 videos6 readings5 assignments4 discussion prompts
23 videos•Total 127 minutes
- Course Introduction•6 minutes
- Overview of Databases•4 minutes
- SQL versus NoSQL: Key Differences•6 minutes
- SQL Syntax in Databases•7 minutes
- SQL Commands - I •7 minutes
- SQL Commands - II•5 minutes
- Significance of MongoDB•4 minutes
- MongoDB Data Model - I•7 minutes
- MongoDB Data Model - II•4 minutes
- CRUD Operations in MongoDB•6 minutes
- Learn to Design Schema in MongoDB•5 minutes
- Document Structure and Nesting - I•6 minutes
- When to Use Nesting?•2 minutes
- Document Structure and Nesting - II•5 minutes
- Handling Data Consistency and Redundancy•6 minutes
- Query Performance with Indexing•6 minutes
- Filtering Documents Using MQL - I•3 minutes
- Filtering Documents Using MQL - II•6 minutes
- MongoDB Sorting and Limiting•5 minutes
- Update Operation on MongoDB•7 minutes
- Deletion Operation on MongoDB•7 minutes
- Data Manipulation Using Aggregation•7 minutes
- Geospatial Data and Indexing•7 minutes
6 readings•Total 60 minutes
- Data Wrangling with MongoDB: Getting Started•10 minutes
- Introduction to Databases•10 minutes
- Installation of MongoDB (Windows, Linux, MacOS)•10 minutes
- Design Schema•10 minutes
- Query Performance•10 minutes
- Exploring the Fundamentals of MongoDB•10 minutes
5 assignments•Total 50 minutes
- End Module Quiz: Getting Started with Databases: Exploring the Fundamentals of MongoDB •30 minutes
- Knowledge Check: Introduction to Databases•5 minutes
- Knowledge Check: Fundamentals of MongoDB•5 minutes
- Knowledge Check: Data Modeling in MongoDB•5 minutes
- Knowledge Check: Querying in MongoDB•5 minutes
4 discussion prompts•Total 20 minutes
- Database Applications•5 minutes
- CRUD Operations•5 minutes
- Data Redundancy•5 minutes
- Geospatial Operators•5 minutes
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.
What's included
33 videos7 readings7 assignments6 discussion prompts
33 videos•Total 156 minutes
- Importing Data into MongoDB - I•7 minutes
- Importing Data into MongoDB - II•1 minute
- Export Data to Various Formats - I•7 minutes
- Export Data to Various Formats - II•2 minutes
- Data Migration and Backups•5 minutes
- Managing Inconsistent and Redundant Data•6 minutes
- Data Sorting and Filtering - I•3 minutes
- Data Sorting and Filtering - II•3 minutes
- Data Type Conversions and Inconsistencies - I•4 minutes
- Data Type Conversions and Inconsistencies - II•4 minutes
- Data Transformation with Aggregation Pipelines - I•7 minutes
- Data Transformation with Aggregation Pipelines - II•4 minutes
- Data Analysis•6 minutes
- Adopt MongoDB Security Best Practices•7 minutes
- Set Up Authentication and Authorization•7 minutes
- Security against Common Threats•4 minutes
- Analyze and Improve Query Performance - I•5 minutes
- Analyze and Improve Query Performance - II•2 minutes
- Analyze and Improve Query Performance - III•6 minutes
- Optimize Indexing Strategies - I•7 minutes
- Optimize Indexing Strategies - II•5 minutes
- MongoDB Profiler and Performance Advisor - I•5 minutes
- MongoDB Profiler and Performance Advisor - II•3 minutes
- Exemplifying MongoDB Replication Concepts - I•3 minutes
- Exemplifying MongoDB Replication Concepts - II•5 minutes
- Configuring and Managing Replica Sets - I•7 minutes
- Configuring and Managing Replica Sets - II•4 minutes
- Ensure High Availability and Fault Tolerance - I•6 minutes
- Ensure High Availability and Fault Tolerance - II•3 minutes
- Backup and Recovery Strategies•4 minutes
- Toolset for Backup and Restoration - I•6 minutes
- Toolset for Backup and Restoration - II•3 minutes
- Disaster Recovery Management•5 minutes
7 readings•Total 70 minutes
- Data Import and Export•10 minutes
- Inconsistent and Redundant Data•10 minutes
- Security in MongoDB•10 minutes
- MongoDB Performance Optimization•10 minutes
- MongoDB Replication and High Availability•10 minutes
- MongoDB Tools for Backup and Recovery•10 minutes
- Data Wrangling and Replication with MongoDB•10 minutes
7 assignments•Total 60 minutes
- End Module Quiz: Data Wrangling and Replication with MongoDB•30 minutes
- Knowledge Check: Data Import and Export•5 minutes
- Knowledge Check: Data Wrangling and Transformation•5 minutes
- Knowledge Check: Security in MongoDB•5 minutes
- Knowledge Quiz: MongoDB Performance Optimization•5 minutes
- Knowledge Quiz: High Availability and Replication•5 minutes
- Knowledge Quiz: MongoDB Tools for Backup and Recovery•5 minutes
6 discussion prompts•Total 30 minutes
- Data Importing Techniques•5 minutes
- Data Transformation•5 minutes
- Third-party Security Tools•5 minutes
- MongoDB Database•5 minutes
- Scaling and High Availability•5 minutes
- Backup and Restoration Process•5 minutes
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.
What's included
22 videos5 readings5 assignments4 discussion prompts
22 videos•Total 116 minutes
- Introduction to MongoDB Sharding - I•6 minutes
- Introduction to MongoDB Sharding - II•7 minutes
- Why Sharding?•6 minutes
- Benefits and Advantages of Sharding•6 minutes
- Configure and Manage Sharded Clusters•6 minutes
- Hands-on: Configure and Manage Sharded Clusters•4 minutes
- Shard Keys and Data Distribution•7 minutes
- MongoDB Atlas: Cloud-Based Service Installation•7 minutes
- Cloud Deployment and Management in MongoDB - Part I•5 minutes
- Cloud Deployment and Management in MongoDB - Part II•5 minutes
- Explore MongoDB Cloud Product•6 minutes
- Setting up Monitoring Tools•7 minutes
- Hands-on: Setting up the Monitoring Tools•2 minutes
- Analyze Performance Metrics•5 minutes
- Hands-on: Analyze Performance in MongoDB Compass•4 minutes
- Troubleshoot Common MongoDB Issues - Part I•5 minutes
- Troubleshoot Common MongoDB Issues - Part II •3 minutes
- Load Balancing in MongoDB•6 minutes
- Caching Strategies in MongoDB - I•4 minutes
- Caching Strategies in MongoDB - II•4 minutes
- Managing Servers in MongoDB•5 minutes
- Infrastructure as a Service (IaaS)•5 minutes
5 readings•Total 50 minutes
- Sharding in MongoDB•10 minutes
- Setup Guide for MongoDB Atlas •10 minutes
- Monitoring Tools•10 minutes
- Scaling and Load Balancing•10 minutes
- Deep Dive in MongoDB - I•10 minutes
5 assignments•Total 50 minutes
- End Module Quiz: Deep Dive in MongoDB - I•30 minutes
- Knowledge Check: Overview of Sharding in MongoDB•5 minutes
- Knowledge Check: MongoDB Atlas and Cloud Deployment•5 minutes
- Knowledge Check: Monitoring and Troubleshooting Issues in MongoDB•5 minutes
- Knowledge Quiz: Aspects of Scaling MongoDB•5 minutes
4 discussion prompts•Total 45 minutes
- Backup and Recovery for MongoDB •5 minutes
- Database using MongoDB Atlas•10 minutes
- MongoDB Monitoring Tools•20 minutes
- Horizontal Scaling in MongoDB•10 minutes
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.
What's included
15 videos5 readings5 assignments4 discussion prompts
15 videos•Total 78 minutes
- Data Governance Policies in MongoDB•5 minutes
- General Data Protection Regulations (GDPR) - Part I•3 minutes
- General Data Protection Regulations (GDPR) - Part II•4 minutes
- Handling Sensitive Data•6 minutes
- Dive Deeper into Query Optimization Techniques•7 minutes
- Query Hints and Planner - Part I•7 minutes
- Query Hints and Planner - Part II•3 minutes
- Optimize Query Performance Analysis•5 minutes
- Advanced Aggregation Operations•7 minutes
- Custom Functions and Expressions•5 minutes
- Hand-on: Custom Functions and Expressions•4 minutes
- Data Transformation•6 minutes
- Work with Time Series Data•6 minutes
- Time Series Collections and Indexing•5 minutes
- Perform Time-Based Analytics•5 minutes
5 readings•Total 50 minutes
- Data Governance•10 minutes
- Query Optimization•10 minutes
- Aggregation Framework•10 minutes
- Time Series Data in MongoDB•10 minutes
- Advanced Aggregation Operations•10 minutes
5 assignments•Total 50 minutes
- End Module Quiz: Deep Dive in MongoDB - II•30 minutes
- Knowledge Quiz: Data Governance and Compliance in MongoDB•5 minutes
- Knowledge Quiz: Advanced Query Optimization•5 minutes
- Knowledge Quiz: Advanced Aggregation Framework•5 minutes
- Knowledge Quiz: Time Series Data in MongoDB•5 minutes
4 discussion prompts•Total 40 minutes
- Data Security•10 minutes
- Query Optimization•10 minutes
- Advanced Aggregation•10 minutes
- Time Series Data•10 minutes
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.
What's included
6 videos5 readings4 assignments2 discussion prompts
6 videos•Total 30 minutes
- Real-Time Ingestion and Processing•4 minutes
- Data Monitoring with Change Streams•5 minutes
- Building Real-Time Applications•6 minutes
- Visualize Data with Visualization Tools•4 minutes
- Generate Interactive Reports and Dashboards•7 minutes
- Communicate Insights from MongoDB Data Effectively•5 minutes
5 readings•Total 90 minutes
- Data Processing with MongoDB•10 minutes
- Connect MongoDB to Data Visualization Tools•10 minutes
- Data Analytics with MongoDB•10 minutes
- End Project: Sample E-Commerce System with MongoDB•30 minutes
- Practice Project: Transforming Raw Data into Business Insights•30 minutes
4 assignments•Total 90 minutes
- End Module Quiz: Data Analytics with MongoDB•30 minutes
- End Course Knowledge Check: Data Wrangling with MongoDB•50 minutes
- Knowledge Check: Data Processing with MongoDB•5 minutes
- Knowledge Check: Connect MongoDB to Data Visualization Tools•5 minutes
2 discussion prompts•Total 20 minutes
- Data Processing Pipelines•10 minutes
- Data Visualization Tools•10 minutes
Instructor
Offered by
Offered by
Edureka
Edureka is an online education platform focused on delivering high-quality learning to working professionals. We have the highest course completion rate in the industry and we strive to create an online ecosystem for our global learners to equip themselves with industry-relevant skills in today’s cutting edge technologies.
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Frequently asked questions
MongoDB is a powerful, open-source NoSQL database, renowned for its flexibility, scalability, and performance. It uses a document-oriented data model and stores data in JSON-like documents, offering a dynamic schema. This makes it particularly suitable for handling large volumes of diverse and complex data, making it a popular choice for modern web applications, big data solutions, and more.
To start with MongoDB, first download it from the official website. Installation is straightforward, with guides available for various operating systems. Once installed, explore MongoDB's extensive documentation and tutorials. A great way to begin is by experimenting with basic commands in the MongoDB shell and creating simple applications to understand its data handling capabilities.
MongoDB is available in a free Community Edition, which is ideal for development and small-scale applications. For larger, commercial projects, MongoDB offers a paid Enterprise version with additional features and support. Additionally, MongoDB Atlas, the cloud-based database service, offers a free tier suitable for small applications, with scalable paid options for more significant needs.
Pursuing a career in MongoDB administration can be highly rewarding. As businesses increasingly adopt MongoDB for its scalability and flexibility, the demand for skilled database administrators is rising. A career in MongoDB administration involves managing database environments, ensuring performance, security, and availability, which are crucial skills in the IT industry. Continuous learning and certification in MongoDB can lead to diverse opportunities and significant career growth.
This course is designed to span approximately nineteen hours, encompassing a diverse range of learning materials and activities. Throughout this course, learners will engage with various educational resources, including video content on the MongoDB database, reading materials to deepen understanding, graded quizzes to assess comprehension, hands-on projects to apply knowledge in practical scenarios, and thought-provoking discussion prompts to encourage collaborative learning and critical thinking.
This course is aimed at IT professionals, database administrators, software developers, data analysts, and students. It covers MongoDB integration, management, and real-world applications, catering to those seeking to learn about NoSQL databases, their administration, and their role in data infrastructure.
Yes, learners receive a Coursera certificate that can be shared on LinkedIn and resumes.
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
More questions
Financial aid available,