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Everything about Databases using SQL and MongoDB

A comprehensive course on SQL and MongoDB using practical and real-world examples. This course is highly suited for beginners

12 weeks long course | 100% Online

Learn from leading experts in the industry

Project based learning with 2 industry level projects that learners can showcase on LinkedIn.

Learn Key Tools & Technologies MySQL, MongoDB

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Syllabus

This course is full of best-in-class content by leading faculty and industry experts in the form of videos and projects

Course Overview

  • This course is designed for absolute beginners who don’t have any prior experience with database management.
  • From the very basic topics like creating your first database to the most advanced topics like query implementation, is covered in this course.
  • Through this course, the students will learn to create databases in a systematic way.
  • Students will gain exposure to databases and their implementation using SQL and MongoDB.
  • Through this course, students will learn to
    • Design
    • Create
    • Manage
    • Extract information
  • Also, the students will be doing multiple projects on real-world problems, which will strengthen their base as professional database administrators.

Course Syllabus

On a daily basis we talk to companies in the likes of Tata Elxsi and Mahindra to fine tune our curriculum.

Week - 01 Introduction to Databases

  • This week we will have a small introduction to the topic,we will be looking at:
    • Types of databases
    • Databases vs File Systems
    • Architecture
    • Schema
    • Models
    • Data Independence
    • DBMS languages
    • Set theory
    • Database in a web application architecture
    • ACID properties
    • Create a relational database application of your ecommerce application
    • Requirement analysis
    • Specification
    • Design
    • Implementation

Week - 02 Entities and Relationships

  • In this week we will be looking at:
    • Entities, Relationships and Attributes
    • ER Model and Relational Model
      • Advantages and Disadvantages 
    • Attributes of relationships
      • Simple vs Composite Attributes
      • Single valued vs Multi-valued Attributes
      • Stored vs Derived Attributes
      • Complex Attributes 
    • Degree of a relationship and Cardinality Ratio
    • Total vs Partial Participation
    • Intention vs Extension
    • Recursive Relationship
    • How Relational Model is derived from Discrete Math

Week - 03 Creating Database Tables

  • This week, we will be looking at:
    • How to create a database table
    • Converting an ER Diagram to RDBMS Tables
    • Super Key vs. Key vs. Candidate Key vs. Primary Key
    • Integrity rules
    • Entity Integrity Constraints
    • Referential Integrity Constraints
    • Constraints violated by Insertion, Deletion, Updation, and Selection
    • Steps taken by DBMS in case of constraint violation
    • Authorization in relational databases
    • Generalisation and Specialisation
    • Aggregation

Week - 04 Database Design

  • In this week, we will learn about: 
    • Functional dependencies
    • Relational Decomposition
    • Multivalued Dependency
    • Join Dependency
    • Inclusion Dependence
    • Normal forms:
      • 1st Normal Form
      • 2nd Normal Form
      • 3rd Normal Form
    • Boyce Codd Normal Form
    • Codd’s rules
    • Data-modeling with Unified Modeling Language (UML)

Week - 05 SQL (part 1)

  • In this week, we will be looking into:
    • Declarative programming
    • Studying SQL using MySQL and PhpMyAdmin.
    • Characteristics of SQL
    • Advantages of SQL
    • SQl Data Types
    • SQL Commands
    • SQL Operators
    • SQL Table queriesSQL SELECT Statement
    • SQL INSERT Statement
    • SQL UPDATE Statement
    • SQL DELETE Statement
    • SQL Clauses
    • SQL Aggregate Functions
    • SQL Set Operations

Week - 06 SQL (part 2)

This week is a continuation of the previous one. Here, we continue to look into more topics related to the Structured Query Language.

  • SQL JOINs
    • Cartesian product
    • Natural Joins
    • Inner joins
    • Outer Joins
  • SQL Views
  • SQL Sub Queries
  • SQL Compound Queries
  • Query Processing
    • Materialization, Pipelining
    • Estimating Query Cost
    • Query optimizations

Week - 07 Designing your ecommerce Database

  • In this week, we will learn:
    • How to design your ecommerce database till BCNF
    • Identify keys
    • Document your design using UML diagrams
    • Generate complex queries for the functionalities of your ecommerce website

Week - 08 Scaling the Database

  • In this week's sesson, we will learn about:
    • Storage system
      • File structure
      • B Trees and B+ trees
      • Ordered vs Unordered File Organization
    • Database Hashing
    • Database indexing
    • Database Keys and Indexes
    • SQL Index
    • Database Partitioning
    • Database Sharding
    • Map Reduce
    • RAID
    • Data warehouse processing

Week - 09 PL/SQL

  • In this week's session, we will learn about:
    • When to use Procedural Language
    • Functions
    • Stored
    • Triggers
      • Notifing customers as soon as the product is back in stock
    • Common table expressions
    • Recursion
    • Cursors

Week - 10 NOSQL Databases

  • In this week's session, we will learn about:
    • Introduction to NoSQL
    • Advantages and Disadvantages
    • MongoDB
    • Comparison with SQL
      • Relational vs document oriented
      • Your first MongoDB database
      • Querying in MongoDB- CRUD
      • Creating and Retrieving products for ecommerce website
      • Sorting and Paginating in ecommerce website
      • Embedding vs Referencing in documents
      • Data modeling in NoSQL
      • Aggregation Pipelines
      • Map Reduce
      • Scalability and Indexing in key value database
    • Graph databases

Week - 11 Transactions for concurrency control and failure recovery

  • In this week's session, we will learn about:
    • Transactions
    • Concurrency Control
    • Need for Concurrent Execution of Transactions
      • Inconsistency Problem due to Concurrent Execution
      • Lost Update Problem
      • Dirty Read Problem
      • Unrepeatable Read Problem
      • Phantom Read Problem
    • Handling Deadlocks
    • Data Backup
    • Data Recovery
    • Data Replication
    • Security

Week - 12 In Memory Database

  • In this week's session, we will learn about:
    • Why use "In Memory" Database
    • Redis vs MongoDB
    • The Pub-Sub model
    • Install and use Redis
    • Redis commands
    • Backup
    • Pipelining
    • Partitioning
    • Security

Our courses have been designed by industry experts to help students achieve their dream careers

Industry Projects

Our projects are designed by experts in the industry to reflect industry standards. By working through our projects, Learners will gain a practical understanding of what they will take on at a larger-scale in the industry. In total, there are 2 Projects that are available in this program.

Designing E-commerce Database

Databases are vital tools for storing, managing, and retrieving information. They are also critical for building an e-commerce system. A well-structured database powers e-commerce and manages all the interactions within the system. In this project, you will be designing such databases,

Scaling and Designing E-commerce Database

Scalability is key when deciding on your eCommerce platform. Your e-commerce website needs to be able to change and grow in order to meet demand. One of the critical components that will directly affect your e-commerce platform’s scalability is its database. n this project you will be scaling your e-commerce database

Our courses have been designed by industry experts to help students achieve their dream careers

Ratings & Reviews by Learners

Skill-Lync has received honest feedback from our learners around the globe.

Google Rating
4.6

A compact course to kick-start your database journey

Data is the backbone of every industry, and every website is driven by it. The Everything about Databases using SQL and MongoDB program is for you if you want to delve into the basics of databases that are today used in every sphere. It focuses on scaling, answering queries quickly and efficiently, allowing for frequent application changes, and it makes programming simpler for developers.

Learn everything about databases using key languages like Structured Query Language and MongoDB and enroll in this MongoDB certification course which starts at ₹7,000 per month for three months. It will teach you the fundamentals of the many types of databases used in web applications and when to utilize them. 

Who Should Take the Course? 

This course is open to both Computer Science and non-Computer Science students. Professionals who want to construct and work with databases or want to design web applications that use databases can enroll themselves for the course. Anyone interested in becoming a back-end/full stack developer can also benefit from the course as it does not have any prior requirements.

Today's demanding competition requires you to upgrade your database skills and enhance your career-related opportunities. You can become an effective developer after acquiring relevant database knowledge. A back-end developer costs 35% more than a front-end developer. Both positions, however, need database understanding and some form of data persistence competence (NoSQL).

What Will You Learn? 

This course describes the many databases used in a web application and when to utilize which one. It delves into the specifics of creating, querying, and optimizing data storage and retrieval for high-performance online applications. It includes 12 mini exercises as well as one minor and one major project to complete the course.

You will learn about databases, database design, how to create database tables, ER diagrams, SQL (Structured Query Language) basics, NoSQL databases, PLSQL (Procedural Language), scaling databases, designing e-commerce databases, transactions for concurrency control and failure recovery, and in-memory databases. 

After gaining a complete understanding of the relevance and application of database systems and concepts, you will be skilled in topics related to debugging, understanding real-world applications, implementing databases, and using optimization skills. You will learn how to design and operate a maintainable, reliable, and scalable application database proficiently. You will also be able to identify which database is the best option and how you can analyze or categorize it based on the type of data, amount of data, and response time. On completion of this course, you will be able to gauge and know all about any existing application’s database.

Skills You Will Gain 

- A comprehensive understanding of database systems and concepts.

- Debugging and optimization abilities will help learners acquire confidence in each of the topics.

- Understanding database implementation in real-world applications.

- How to create databases for applications that are dependable, scalable, and easy to manage.

- The ability to understand the database of any current application.

Key Highlights of the Program

  • After completing the course, you will get a merit certificate if you are in the top 5% of the class. Otherwise, a certificate of completion can be added to your resume.
  • You can complete the MongoDB certification course in three months and create a professional portfolio of your work.
  • You can link your technical projects automatically with an E-verified profile that is shareable on LinkedIn.
  • If you are looking for a career in web development, website designing, or even AI-related database configurations, join this best MongoDB course, which will be perfect for learning MongoDB online.

Career Opportunities after Taking the Course  

The database component of every web application is a critical aspect of implementing business needs. This course is necessary if you want to work as a back-end or full-stack developer. It is predicted to be a very hot career option for many years to come because most businesses require web applications for data storage and customer engagement. As Web Application Engineers, this skill will play a key role in project/skill-based technical interviews.

Understanding database management also opens the way to understanding data organization for Big Data technologies and research. So, there is huge scope for professionals who want to make their career in AI-related Big Data Learning. You will learn how to store and manage data which becomes vital for further study in any Management and Engineering discipline. All software businesses employ a database to store the data for their applications. After completing this MongoDB course, you will be able to deal with micro-services with a single database for each micro-service.

FAQs on Everything about Databases using SQL and MongoDB

1. What exactly is covered in this course?

This course describes all of the many databases used in a web application and when to utilize which one. It dives into the details of creating, querying, and optimizing data storage and retrieval for high-performance web applications. It includes 12 small exercises as well as one minor and one big project to complete the course.              
 
2. How is this course beneficial for the future?

Database systems are used in various industries, including banking and finance, government organizations, hospitality, healthcare and life sciences, education, media and entertainment, and telecommunications and information technology. Thus employment opportunities are endless. 
 
3. What software skills are taught, and how prevalent are these technologies in the industry?

The database component of every web application is a critical aspect of implementing business needs. This is designed to be quick, with optimal storage and retrieval, and to provide data as required while adhering to industry best design principles. For large-scale applications, it can become quite complicated. As a result, a solid foundation in database systems and knowledge is required to land a job and become a skilled back-end/full-stack developer.
 
4. What real-world applications are taught for the tools and concepts covered in this course?

Learners will develop an example of an e-commerce website database. This course aims to teach you how to query SQL and NoSQL databases. The PhpMyAdmin tool will be used for MySQL relational databases, MongoDB Atlas for NoSQL databases, and Redis for in-memory databases.
 
5. How will this course aid me on my way to a master's degree or a doctorate?

Any Masters/PhD degree necessitates experimentation and works with massive volumes of data. At the absolute least, it is necessary to understand how to optimize data organization and retrieve data quickly to work with it depending on the study subject. Understanding database management also opens the way to understanding data organization for Big Data technologies and research. As a result, learning how to store and manage data becomes vitally important for further study in any Engineering discipline.

6. Will the learners get the opportunity to work on projects or reports?

Yes, learners are required to work on both projects and reports throughout the program.
They will work on two projects, one of which will be based on PL/SQL and the other on NoSql (using MongoDB).
They will also be expected to write two reports, one based on Redis and the other on optimizing given queries.

7. What is the ratio of theory to practical application?

Theoretical principles account for 40% of the course, while hands-on coding and testing account for 60%. The need for practising is emphasized since no skill can be learned to its full potential without it.

8. Will I be able to get course counselling?

Yes, you may request a demo session and receive a one-on-one demonstration from an experienced sales consultant to learn more about the course and how it might assist you.

Instructors profiles

Our courses are designed by leading academicians and experienced industry professionals.

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1 industry expert

Our instructors are industry experts along with a passion to teach.

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10 years in the experience range

Instructors with 10 years extensive industry experience.

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Areas of expertise

  • Full Stack development

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