MongoDB Skills you will learn

  • Writing Java and NodeJs apps
  • CRUD Operations in MongoDB
  • Replication and sharding
  • Indexing and Aggregation
  • MongoDB tools
  • MongoDB backup methods
  • Replica sets

Who should learn MongoDB

  • Database Administrators
  • Database Architects
  • Analytics Professionals

What you will learn in MongoDB Basics Program

  • MongoDB Developer and Administrator

    • Lesson 0 - Course Introduction

      03:49
      • 0.001 Course Introduction
        00:09
      • 0.002 Table of Contents
        00:35
      • 0.003 Objectives
        00:40
      • 0.004 Course Overview
        00:54
      • 0.005 Value to Professionals and Organizations
        00:59
      • 0.006 Course Prerequisites
        00:17
      • 0.007 Lessons Covered
        00:07
      • 0.008 Conclusion
        00:08
    • Lesson 1 - Introduction to NoSQL databases

      31:44
      • 1.001 Lesson1 NoSQL database introduction
        00:15
      • 1.002 Objectives
        00:34
      • 1.003 What is NoSQL
        01:01
      • 1.004 What is NoSQL (contd.)
        00:27
      • 1.005 Why NoSQL
        01:29
      • 1.006 Difference Between RDBMS and NoSQL Databases
        02:22
      • 1.007 Benefits of NoSQL
        04:41
      • 1.008 Benefits of NoSQL (contd.)
        04:07
      • 1.009 Types of NoSQL
        01:30
      • 1.010 Key-Value Database
        01:31
      • 1.011 Key-Value Database (contd.)
        01:28
      • 1.012 Document Database
        00:51
      • 1.013 Document Database Example
        00:55
      • 1.014 Column-Based Database
        00:53
      • 1.015 Column-Based Database (contd.)
        01:04
      • 1.016 Column-Based Database (contd.)
        00:24
      • 1.017 Column-Based Database Example
        00:21
      • 1.018 Graph Database
        01:11
      • 1.019 Graph Database (contd.)
        01:12
      • 1.020 CAP Theorem
        00:28
      • 1.021 CAP Theorem (contd.)
        01:04
      • 1.022 Consistency
        00:49
      • 1.023 Availability
        00:26
      • 1.024 Partition Tolerance
        00:58
      • 1.025 Mongo DB as Per CAP
        00:49
      • 1.26 Quiz
      • 1.027 Summary
        00:44
      • 1.028 Conclusion
        00:10
    • Lesson 2 - MongoDB A Database for the Modern Web

      49:33
      • 2.001 Lesson 2 MongoDB-A Database for the Modern Web
        00:19
      • 2.002 Objectives
        00:41
      • 2.003 What is MongoDB
        01:11
      • 2.004 JSON
        00:50
      • 2.005 JSON Structure
        01:22
      • 2.006 BSON
        01:27
      • 2.007 MongoDB Structure
        01:25
      • 2.008 Document Store Example
        00:33
      • 2.009 MongoDB as a Document Database
        01:34
      • 2.010 Transaction Management in MongoDB
        00:33
      • 2.011 Easy Scaling
        00:52
      • 2.012 Scaling Up vs. Scaling Out
        00:49
      • 2.013 Vertical Scaling
        00:50
      • 2.014 Horizontal Scaling
        01:30
      • 2.015 Features of MongoDB
        01:42
      • 2.016 Secondary Indexes
        00:40
      • 2.017 Replication
        00:57
      • 2.018 Replication (contd.)
        00:21
      • 2.019 Memory Management
        00:43
      • 2.020 Replica Set
        00:48
      • 2.021 Auto Sharding
        00:57
      • 2.022 Aggregation and MapReduce
        01:11
      • 2.023 Collection and Database
        01:01
      • 2.024 Schema Design and Modeling
        00:46
      • 2.025 Reference Data Model
        01:17
      • 2.026 Reference Data Model Example
        00:44
      • 2.027 Embedded Data Model
        01:09
      • 2.028 Embedded Data Model Example
        00:29
      • 2.029 Data Types
        01:25
      • 2.030 Data Types (contd.)
        02:03
      • 2.031 Data Types (contd.)
        01:02
      • 2.032 Core Servers of MongoDB
        01:27
      • 2.033 MongoDB s Tools
        02:57
      • 2.034 Installing MongoDB on Linux
        00:05
      • 2.035 Installing MongoDB on Linux
        03:01
      • 2.036 Installing MongoDB on Windows
        00:06
      • 2.037 Installing MongoDB on Windows
        01:22
      • 2.038 Starting MongoDB On Linux
        00:05
      • 2.039 Starting MongoDB On Linux
        01:25
      • 2.040 Starting MongoDB On Windows
        00:04
      • 2.041 Starting MongoDB On Windows
        01:38
      • 2.042 Use Cases
        02:40
      • 2.043 Use Cases (contd.)
        02:28
      • 2.44 Quiz
      • 2.045 Summary
        00:52
      • 2.046 Conclusion
        00:12
    • Lesson 3 - CRUD Operations in MongoDB

      01:03:47
      • 3.001 Lesson 3 CRUD Operations in MongoDB
        00:22
      • 3.002 Objectives
        01:07
      • 3.003 Data Modification in MongoDB
        00:52
      • 3.004 Batch Insert in MongoDB
        01:45
      • 3.005 Ordered Bulk Insert
        01:49
      • 3.006 Performing Ordered Bulk Insert
        00:06
      • 3.007 Performing Ordered Bulk Insert
        01:57
      • 3.008 Unordered Bulk Insert
        01:08
      • 3.009 Performing Un-ordered Bulk Insert
        00:06
      • 3.010 Performing Un-ordered Bulk Insert
        01:50
      • 3.011 Inserts Internals and Implications
        01:13
      • 3.012 Performing an Insert Operation
        00:06
      • 3.013 Performing an Insert Operation
        01:51
      • 3.014 Retrieving the documents
        00:47
      • 3.015 Specify Equality Condition
        01:32
      • 3.016 Retrieving Documents by Find Query
        00:07
      • 3.017 Retrieving Documents by Find Query
        01:12
      • 3.018 dollar in, AND Conditions
        01:36
      • 3.019 dollar or Operator
        00:46
      • 3.020 Specify AND or OR Conditions
        01:05
      • 3.021 Retrieving Documents by Using FindOne, AND or OR Conditions
        00:09
      • 3.022 Retrieving Documents by Using FindOne, AND or OR Conditions
        01:49
      • 3.023Regular Expression
        00:47
      • 3.024 Array Exact Match
        00:45
      • 3.025 Array Projection Operators
        00:48
      • 3.026 Retrieving Documents for Array Fields
        00:05
      • 3.027 Retrieving Documents for Array Fields
        01:52
      • 3.028 dollar Where Query
        01:13
      • 3.029 Cursor
        01:51
      • 3.030 Cursor (contd.)
        01:49
      • 3.031 Cursor (contd.)
        01:49
      • 3.032 Retrieving Documents Using Cursor
        00:06
      • 3.033 Retrieving Documents Using Cursor
        02:48
      • 3.034 Pagination
        00:48
      • 3.035 Pagination Avoiding Larger Skips
        00:49
      • 3.036 Advance query option
        01:18
      • 3.037 Update Operation
        01:02
      • 3.038 Updating Documents in MongoDB
        00:06
      • 3.039 Updating Documents in MongoDB
        01:23
      • 3.040 dollar SET
        01:38
      • 3.041 Updating Embedded Documents in MongoDB
        00:06
      • 3.042 Updating Embedded Documents in MongoDB
        01:06
      • 3.043 Updating Multiple Documents in MongoDB
        00:06
      • 3.044 Updating Multiple Documents in MongoDB
        01:31
      • 3.045 dollar Unset and dollar inc Modifiers
        01:02
      • 3.046 Dollar inc modifier to increment and decrement
        00:07
      • 3.047 Dollar inc modifier to increment and decrement
        02:35
      • 3.048 Replacing Existing Document with New Document
        00:07
      • 3.049 Replacing Existing Document with New Document
        01:14
      • 3.050 dollar Push and dollar addToSet
        00:43
      • 3.051 Positional Array Modification
        01:26
      • 3.052 Adding Elements into Array Fields
        00:06
      • 3.053 Adding Elements into Array Fields
        01:46
      • 3.054 Adding Elements to Array Fields Using AddToSet
        00:06
      • 3.055 Adding Elements to Array Fields Using AddToSet
        01:12
      • 3.056 Performing AddToSet
        00:08
      • 3.057 Performing AddToSet
        00:49
      • 3.058 Upsert
        01:22
      • 3.059 Removing Documents
        01:16
      • 3.060 Performing Upsert and Remove Operation
        00:07
      • 3.061 Performing Upsert and Remove Operation
        01:31
      • 3.62 Quiz
      • 3.063 Summary
        00:58
      • 3.064 Conclusion
        00:11
    • Lesson 4 - Indexing and Aggregation

      01:14:15
      • 4.001 Lesson 4 Indexing and Aggregation
        00:20
      • 4.002 Objectives
        00:50
      • 4.003 Introduction to Indexing
        01:08
      • 4.004 Types of Index
        01:51
      • 4.005 Properties of Index
        01:14
      • 4.006 Single Field Index
        00:41
      • 4.007 Single Field Index on Embedded Document
        00:37
      • 4.008 Compound Indexes
        00:58
      • 4.009 Index Prefixes
        01:02
      • 4.010 Sort Order
        01:07
      • 4.011 Ensure Indexes Fit RAM
        00:46
      • 4.012 Multi-Key Indexes
        00:54
      • 4.013 Compound Multi-Key Indexes
        00:44
      • 4.014 Hashed Indexes
        01:01
      • 4.015 TTL Indexes
        01:42
      • 4.016 Unique Indexes
        01:17
      • 4.017 Sparse Indexes
        01:23
      • 4.018 Demo-Create Compound, Sparse, and Unique Indexes
        00:07
      • 4.019 Demo-Create Compound, Sparse, and Unique Indexes
        01:52
      • 4.020 Text Indexes
        01:20
      • 4.021 Demo-Create Single Field and Text Index
        00:06
      • 4.022 Demo-Create Single Field and Text Index
        02:29
      • 4.023 Text Search
        01:30
      • 4.024 Index Creation
        00:56
      • 4.025 Index Creation (contd.)
        01:35
      • 4.026 Index Creation on Replica Set
        01:34
      • 4.027 Remove Indexes
        00:37
      • 4.028 Modify Indexes
        00:53
      • 4.029 Demo-Drop and Index from a Collection
        00:05
      • 4.030 Demo-Drop and Index from a Collection
        01:29
      • 4.031 Rebuild Indexes
        01:07
      • 4.032 Listing Indexes
        00:37
      • 4.033 Demo-Retrieve Indexes for a Collection and Database
        00:07
      • 4.034 Demo-Retrieve Indexes for a Collection and Database
        01:24
      • 4.035 Measure Index Use
        00:44
      • 4.036 Demo-Use Mongo Shell Methods to Monitor Indexes
        00:07
      • 4.037 Demo-Use Mongo Shell Methods to Monitor Indexes
        02:26
      • 4.038 Control Index Use
        01:08
      • 4.039 Demo-Use the Explain, Dollar Hint and Dollar Natural Operators to Create Index
        00:08
      • 4.040 Demo-Use the Explain, Dollar Hint and Dollar Natural Operators to Create Index
        01:59
      • 4.041 Index Use Reporting
        01:50
      • 4.042 Geospatial Index
        01:22
      • 4.043 Demo-Create Geospatial Index
        00:06
      • 4.044 Demo-Create Geospatial Index
        03:34
      • 4.045 MongoDB s Geospatial Query Operators
        01:08
      • 4.046 Demo-Use Geospatial Index in a Query
        00:07
      • 4.047 Demo-Use Geospatial Index in a Query
        02:19
      • 4.048 Dollar GeoWith Operator
        00:32
      • 4.049 Proximity Queries in MongoDB
        00:46
      • 4.050 Aggregation
        01:35
      • 4.051 Aggregation (contd.)
        00:38
      • 4.052 Pipeline Operators and Indexes
        01:03
      • 4.053 Aggregate Pipeline Stages
        01:43
      • 4.054 Aggregate Pipeline Stages (contd.)
        01:08
      • 4.055 Aggregation Example
        01:17
      • 4.056 Demo-Use Aggregate Function
        00:06
      • 4.057 Demo-Use Aggregate Function
        01:37
      • 4.058 MapReduce
        00:50
      • 4.059 MapReduce (contd.)
        01:13
      • 4.060 MapReduce (contd.)
        00:56
      • 4.061 Demo-Use MapReduce in MongoDB
        00:06
      • 4.062 Demo-Use MapReduce in MongoDB
        02:36
      • 4.063 Aggregation Operations
        01:25
      • 4.064 Demo-Use Distinct and Count Methods
        00:06
      • 4.065 Demo-Use Distinct and Count Methods
        01:21
      • 4.066 Aggregation Operations (contd.)
        00:39
      • 4.067 Demo-Use the Group Function
        00:05
      • 4.068 Demo-Use the Group Function
        00:54
      • 4.69 Quiz
      • 4.070 Summary
        01:07
      • 4.071 Conclusion
        00:11
    • Lesson 5 - Replication and Sharding

      01:14:51
      • 5.001 Replication and Sharding
        00:21
      • 5.002 Objectives
        00:47
      • 5.003 Introduction to Replication
        01:20
      • 5.004 Master-Slave Replication
        00:40
      • 5.005 Replica Set in MongoDB
        01:45
      • 5.006 Replica Set in MongoDB (contd.)
        01:02
      • 5.007 Automatic Failover
        00:54
      • 5.008 Replica Set Members
        01:01
      • 5.009 Priority 0 Replica Set Members
        01:11
      • 5.010 Hidden Replica Set Members
        01:05
      • 5.011 Delayed Replica Set Members
        01:07
      • 5.012 Delayed Replica Set Members (contd.)
        00:56
      • 5.013 Demo-Start a Replica Set
        00:05
      • 5.014 Demo-Start a Replica Set
        02:40
      • 5.015 Write Concern
        01:36
      • 5.016 Write Concern (contd.)
        00:52
      • 5.017 Write Concern Levels
        01:25
      • 5.018 Write Concern for a Replica Set
        01:08
      • 5.019 Modify Default Write Concern
        00:57
      • 5.020 Read Preference
        01:03
      • 5.021 Read Preference Modes
        01:03
      • 5.022 Blocking for Replication
        01:29
      • 5.023 Tag Set
        01:25
      • 5.024 Configure Tag Sets for Replica set
        02:13
      • 5.025 Replica Set Deployment Strategies
        01:54
      • 5.026 Replica Set Deployment Strategies (contd.)
        01:40
      • 5.027 Replica Set Deployment Patterns
        00:40
      • 5.028 Oplog File
        01:29
      • 5.029 Replication State and Local Database
        01:00
      • 5.030 Replication Administration
        01:24
      • 5.031 Demo-Check a Replica Set Status
        00:07
      • 5.032 Demo-Check a Replica Set Status
        02:22
      • 5.033 Sharding
        01:50
      • 5.034 When to Use Sharding
        01:13
      • 5.035 What is a Shard
        01:00
      • 5.036 What is a Shard Key
        00:56
      • 5.037 Choosing a Shard Key
        00:27
      • 5.038 Ideal Shard Key
        01:29
      • 5.039 Range-Based Shard Key
        01:20
      • 5.040 Hash-Based Sharding
        00:57
      • 5.041 Impact of Shard Keys on Cluster Operation
        01:48
      • 5.042 Production Cluster Architecture
        01:42
      • 5.043 Config Server Availability
        01:11
      • 5.044 Production Cluster Deployment
        01:31
      • 5.045 Deploy a Sharded Cluster
        01:34
      • 5.046 Add Shards to a Cluster
        01:33
      • 5.047 Demo-Create a Sharded Cluster
        00:06
      • 5.048 Demo-Create a Sharded Cluster
        03:02
      • 5.049 Enable Sharding for Database
        01:05
      • 5.050 Enable Sharding for Collection
        00:52
      • 5.051 Enable Sharding for Collection (contd.)
        00:36
      • 5.052 Maintaining a Balanced Data Distribution
        00:34
      • 5.053 Splitting
        00:40
      • 5.054 Chunk Size
        01:30
      • 5.055 Special Chunk Type
        00:57
      • 5.056 Shard Balancing
        02:09
      • 5.057 Shard Balancing (contd.)
        00:47
      • 5.058 Customized Data Distribution with Tag Aware Sharding
        00:36
      • 5.059 Tag Aware Sharding
        00:38
      • 5.060 Add Shard Tags
        01:29
      • 5.061 Remove Shard Tags
        01:12
      • 5.62 Quiz
      • 5.063 Summary
        01:16
      • 5.064 Conclusion
        00:10
    • Lesson 6 - Developing Java and Node JS Application with MongoDB

      47:02
      • 6.001 Developing Java and Node JS Application with MongoDB
        00:17
      • 6.002 Objectives
        00:38
      • 6.003 Capped Collection
        01:15
      • 6.004 Capped Collection Creation
        00:57
      • 6.005 Capped Collection Creation (contd.)
        00:53
      • 6.006 Demo-Create a Capped Collection in MongoDB
        00:05
      • 6.007 Demo-Create a Capped Collection in MongoDB
        01:55
      • 6.008 Capped Collection Restriction
        01:11
      • 6.009 TTL Collection Features
        00:57
      • 6.010 Demo-Create TTL Indexes
        00:06
      • 6.011 Demo-Create TTL Indexes
        02:14
      • 6.012 GridFS
        01:03
      • 6.013 GridFS Collection
        01:43
      • 6.014 Demo-Create GridFS in MongoDB Java Application
        00:06
      • 6.015 Demo-Create GridFS in MongoDB Java Application
        02:36
      • 6.016 MongoDB Drivers and Client Libraries
        00:30
      • 6.017 Develop Java Application with MongoDB
        00:56
      • 6.018 Connecting to MonogDB from Java Program
        00:50
      • 6.019 Create Collection From Java Program
        00:45
      • 6.020 Insert Documents From Java Program
        00:39
      • 6.021 Insert Documents Using Java Code Example
        00:42
      • 6.022 Demo-Insert a Document Using Java
        00:04
      • 6.023 Demo-Insert a Document Using Java
        02:41
      • 6.024 Retrieve Documents Using Java Code
        00:29
      • 6.025 Demo-Retrieve Document Using Java
        00:04
      • 6.026 Demo-Retrieve Document Using Java
        01:38
      • 6.027 Update Documents Using Java Code
        00:29
      • 6.028 Demo-Update Document Using Java
        00:04
      • 6.029 Demo-Update Document Using Java
        02:13
      • 6.030 Delete Documents Using Java Code
        00:23
      • 6.031 Demo-Delete Document Using Java
        00:05
      • 6.032 Demo-Delete Document Using Java
        01:38
      • 6.033 Store Images Using GridFS API
        00:56
      • 6.034 Retrieve Images Using GridFS API
        00:35
      • 6.035 Remove Image Using GridFS API
        00:14
      • 6.036 Remove Image Using GridFS API (contd..)
        00:49
      • 6.037 Connection Creation Using Node JS
        01:03
      • 6.038 Insert Operations Using Node JS
        00:49
      • 6.039 Insert Operations Using Node JS (contd.)
        01:02
      • 6.040 Demo-Perform CRUD Operation in Node JS
        00:05
      • 6.041 Demo-Perform CRUD Operation in Node JS
        02:29
      • 6.042 Demo-Perform Insert and Retrieve Operations Using Node JS
        00:05
      • 6.043 Demo-Perform Insert and Retrieve Operations Using Node JS
        01:07
      • 6.044 Update Operations Using Node JS
        00:19
      • 6.045 Retrieve Documents Using Node JS
        00:40
      • 6.046 Using DB Cursor to Retrieve Documents
        00:26
      • 6.047 Mongoose ODM Module in Node JS
        00:39
      • 6.048 Defining Schema Using Mongoose
        00:50
      • 6.049 Defining Schema Using Mongoose (contd.)
        00:58
      • 6.050 Demo-Use Mongoose to Define Schema
        00:07
      • 6.051 Demo-Use Mongoose to Define Schema
        01:27
      • 6.052 Demo-How to Run Node JS Using Mongoose
        00:09
      • 6.053 Demo-How to Run Node JS Using Mongoose
        00:55
      • 6.54 Quiz
      • 6.055 Summary
        01:03
      • 6.056 Conclusion
        00:09
    • Lesson 7 - Administration of MongoDB Cluster Operations

      44:20
      • 7.001 Administration of MongoDB Cluster Operations
        00:17
      • 7.002 Objectives
        00:28
      • 7.016 Memory-Mapped Files
        01:17
      • 7.017 Journaling Mechanics
        01:25
      • 7.018 Storage Engines
        00:35
      • 7.019 MMAPv1 Storage Engine
        00:48
      • 7.020 WiredTiger Storage Engine
        01:47
      • 7.021 WiredTiger Compression Support
        00:56
      • 7.022 Power of 2-Sized Allocations
        01:14
      • 7.023 No Padding Allocation Strategy
        00:40
      • 7.024 Diagnosing Performance Issues
        00:57
      • 7.025 Diagnosing Performance Issues (contd.)
        02:07
      • 7.026 Diagnosing Performance Issues (contd.)
        02:28
      • 7.027 Demo-Monitor Performance in MongoDB
        00:05
      • 7.028 Demo-Monitor Performance in MongoDB
        02:05
      • 7.029 Optimization Strategies for MongoDB
        01:42
      • 7.030 Configure Tag Sets for Replica Set
        00:49
      • 7.031 Optimize Query Performance
        02:08
      • 7.032 Monitoring Strategies for MongoDB
        00:49
      • 7.033 MongoDB Utilities
        01:33
      • 7.034 MongoDB Commands
        02:25
      • 7.035 MongoDB Management service (MMS)
        00:26
      • 7.036 Data Backup Strategies in MongoDB
        00:28
      • 7.037 Copying Underlying Data Files
        01:59
      • 7.038 Backup with MongoDump
        01:59
      • 7.039 Fsync and Lock
        01:49
      • 7.040 MongoDB Ops Manager Backup Software
        00:46
      • 7.041 Security Strategies in MongoDB
        01:33
      • 7.042 Authentication Implementation in MongoDB
        01:54
      • 7.043 Authentication in a Replica set
        01:06
      • 7.044 Authentication on Sharded Clusters
        01:30
      • 7.045 Authorization
        02:11
      • 7.046 End-to-End Auditing for Compliance
        00:46
      • 7.47 Quiz
      • 7.048 Summary
        01:08
      • 7.049 Conclusion
        00:10

Why you should learn MongoDB

The top 500 organizations

in the world use cloud-based MongoDB services

MongoDB is huge

Financial services, social media, retail, and healthcare

Career Opportunities

FAQs

  • What are the prerequisites to learn the MongoDB Basics program?

    Enrollees in MongoDB basics should have prior knowledge of programming (in any language), Linux based systems, and SQL.

  • How do beginners learn MongoDB fundamentals?

    Beginners with a technical background can start with online tutorials or reliable books to learn the MongoDB basics and the principles of relational database management systems and programming. This MongoDB basics course is ideal for beginners to learn about MongoDB faster and more easily.

  • How long does it take to learn MongoDB?

    The course consists of 7 hours of comprehensive video modules that teach you everything you need to get started with MongoDB. The actual time to learn all the concepts will depend on your personal learning pace. 

  • What should I learn first in the MongoDB Basics program?

    It is recommended to get an overview of Big Data and then start with NoSQL databases first for this MongoDB foundations program.

  • Is the MongoDB Basics program easy to learn?

    The mentors for this MongoDM basics program have rich teaching experience and they are aware of the different learner needs. They have designed this course to help you  learn MongoDB easily.

  • What are the basics in a MongoDB training program?

    The basics covered in this MongoDB foundations course includes the concepts of MongoDB development services to handle increasing data storage and handling demands; data modeling, ingestion, query, sharding, and data replication with MongoDB; and installing, updating, and maintaining the MongoDB environment.
     

  • What is MongoDB?

    MongoDB is an open-source, document-oriented database with excellent scalability and flexibility that facilitates all your querying and indexing needs. It is a NoSQL database program. Major enterprises like Facebook, Barclays, Google, Bosch, Adobe, Cisco, Pfizer, HSBC,IBM use MongoDB. Programming languages like C, C++, C#, .Net, Go, Java, Node.js, Perl, PHP, Python, Ruby, etc. support MongoDB.

  • What is MongoDB used for?

    Web applications today collect a lot of data for which companies need to have back-end data stores. MongoDB is one such data store: it is highly scalable, stores the data in unstructured format, and is used across many web applications.

  • Why learn MongoDB?

    The reasons why you should learn MongoDB include:

    • You can get support from an active and robust community 
    • It’s beginner-friendly, easy-to-learn, flexible and versatile
    • You will boost your marketability in the job market

    For more information refer the video.

  • Who can learn MongoDB? 

    You should learn MongoDB if you are a database administrator, database architect, or analytics professional.
     

  • Can I complete this MongoDB Basics program in 90 days?

    Yes, this MongoDB fundamentals program can be completed within 90 days.

  • What are my next best learning options after completing this MongoDB Basics program?

    After completing this MongoDB Basics training program, you can get ahead with other courses like Big Data Engineer Master’s Program or Post Graduate Program in Data Engineering.

  • What are the career opportunities in MongoDB?

    MongoDB skills are highly valued for a lot of job roles like database administrators, MongoDB developers, MEAN Stack Developers, Big Data Engineer, and Analytics Professionals. If any of these job roles interests you, then this MongoDB foundations course is suited for you.

  • Will I get a certificate after completing the MongoDB basics program?

    You will not receive a course completion certificate after completing the MongoDB basics free course. However, you can upgrade and enroll for the paid version of the course to earn your certificate.
     

  • Disclaimer
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