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MySQL Database & SQL

MySQL Database & SQL
  • Fee: 2500
  • Timing: 2.5 Hours Per Day
  • Duration: 2 Months

COURSE DETAILS

The MySQL Database & SQL course offered at NIMACT is having the latest curriculum related to database design, query language and data management, with the view to preparing database professionals for catering to the IT, Banking, E-commerce, Healthcare, Education and Analytics sector in India. The curriculum and the study materials are revised and updated every six months for the inclusion of the latest MySQL versions, query features, security practices and AI assisted learning methods. Accordingly assistance and advice are sought on a continuing basis from the industry for knowing and assessing their requirements.

Database is the one part of software that never goes out of fashion. Programming languages come and go, frameworks change every few years, and design trends keep shifting. But the data stays, and the way we store and question that data has remained the same for decades. A student who learns SQL properly today will still be using the same knowledge twenty years later. Very few computer skills give that kind of return.

There is also a practical reason why this course matters for every other course. Web development needs a database. Data analysis needs a database. Power BI, Tally reporting, mobile apps, billing software - everything sits on a database. Many students struggle in those courses not because the language is hard, but because their table design is weak. This course fixes that root problem. Once a student can design clean tables and write a correct join, every other technical subject becomes easier for him.

The course pays special attention to design, not just to queries. Anyone can learn to write SELECT in a week. The real skill is deciding what tables should exist, what should be a separate table, what should be a key, and how tables should connect. A badly designed database causes problems for years and cannot be fixed easily after the data is filled. So normalization, ER diagrams and relationship design are taught with proper practice before the student moves ahead.

NIMACT teaches every language on the model of AI > Programming Language (Coding). The first stage is AI. Tools like ChatGPT, Claude AI, Gemini and Copilot are used to explain a concept such as normalization, join type or index in simple language, to explain the meaning of an error, to describe what a long query is doing line by line, and to give extra practice datasets and questions. The second stage is the query writing itself. Every table, every query and every procedure is written and tested by the student with his own hands. This discipline is especially important in database work, because a wrong query does not show an error. It returns a clean looking but wrong result, and only a student who truly understands his own SQL can catch that before it reaches a report or a bill.

So many opportunities after this course. IT companies, software houses, banks, hospitals, e-commerce firms, schools, analytics teams and any organization with large records need people who can handle data, and the job profile will be Database Executive, SQL Developer, Junior Database Administrator, Data Analyst, MIS Executive, Report Developer, Backend Support Executive, Data Entry Supervisor etc. SQL also appears in almost every technical interview, for web, data and software roles alike, so this course directly improves a student's selection chances.

Who Should Attend: Students of BCA, MCA, B.Tech, Polytechnic and Diploma who have DBMS or SQL in their syllabus. Web development and data analysis students who need a strong database base. People working in MIS, accounts, reporting and record keeping who want to advance their career. Anyone preparing for technical interviews, where SQL questions are almost always asked, as well.

ELIGIBILITY CRITERIA: Open to all. There is no minimum qualification for this course. Basic computer handling is helpful, but the course starts from the very first step.

Mode: Hybrid (Offline + Online + Live Doubt Session)

SYLLABUS:
To get a better idea about the course structure, let us go through a list of important subjects present in this program. Note - Only the important points have been mentioned.

  • Data and Database Concept, ICT & AI
  • Artificial Intelligence (AI) as a Learning Support - ChatGPT, Claude AI, Gemini, Copilot, Grok, DeepSeek, Perplexity
  • AI for Concept Explanation, Query Reading, Error Meaning and Table Design Review
  • Introduction to Database
  • Data, Information and Database
  • File System vs Database System
  • DBMS, RDBMS and Their Difference
  • Database Models - Hierarchical, Network, Relational, Object
  • SQL vs NoSQL Concept
  • Popular Databases - MySQL, SQL Server, Oracle, PostgreSQL, MongoDB
  • MySQL Setup and Tools
  • MySQL Installation and Configuration
  • MySQL Workbench, phpMyAdmin and Command Line Client
  • XAMPP Environment and Local Server
  • Connecting, Creating and Selecting a Database
  • Relational Database Concept
  • Table, Row, Column, Field and Record
  • Key Concept - Primary, Foreign, Candidate, Composite, Super Key
  • Relationship - One to One, One to Many, Many to Many
  • ER Diagram and ER to Table Conversion
  • Normalization - 1NF, 2NF, 3NF and BCNF
  • Denormalization and When It Is Used
  • Database Design Practice on Real Cases
  • Data Types and Constraints
  • Numeric, String, Date and Time, Boolean and JSON Data Types
  • NOT NULL, UNIQUE, DEFAULT, CHECK
  • PRIMARY KEY, FOREIGN KEY and AUTO_INCREMENT
  • Referential Integrity, ON DELETE and ON UPDATE
  • SQL Language Categories
  • DDL, DML, DQL, DCL and TCL
  • Data Definition Language (DDL)
  • CREATE DATABASE and CREATE TABLE
  • ALTER TABLE - Add, Modify, Drop, Rename Column
  • DROP, TRUNCATE and RENAME
  • Difference between DELETE, TRUNCATE and DROP
  • Data Manipulation Language (DML)
  • INSERT - Single Row, Multiple Rows, Insert from Select
  • UPDATE with Condition
  • DELETE with Condition
  • REPLACE and INSERT IGNORE
  • Data Query Language (DQL)
  • SELECT Statement and Column Selection
  • DISTINCT, Alias and Expression in Select
  • WHERE Clause and Filtering
  • Comparison, Logical and Arithmetic Operators
  • IN, NOT IN, BETWEEN, LIKE, REGEXP
  • IS NULL, IS NOT NULL and NULL Handling
  • ORDER BY - Ascending and Descending
  • LIMIT and OFFSET
  • Project
  • Functions in MySQL
  • String Functions - CONCAT, SUBSTRING, LENGTH, UPPER, LOWER, TRIM, REPLACE
  • Numeric Functions - ROUND, CEIL, FLOOR, ABS, MOD, POWER
  • Date and Time Functions - NOW, CURDATE, DATEDIFF, DATE_ADD, DATE_FORMAT
  • Conditional Functions - IF, IFNULL, CASE WHEN, COALESCE
  • Type Conversion Functions - CAST and CONVERT
  • Aggregate Functions and Grouping
  • COUNT, SUM, AVG, MIN, MAX
  • GROUP BY and Multiple Column Grouping
  • HAVING Clause and Difference from WHERE
  • GROUP_CONCAT and Rollup
  • Joins
  • Cartesian Product and Cross Join
  • INNER JOIN
  • LEFT JOIN and RIGHT JOIN
  • FULL JOIN Simulation with UNION
  • SELF JOIN
  • Multiple Table Join and Join with Condition
  • UNION and UNION ALL
  • Subquery
  • Single Row and Multiple Row Subquery
  • Subquery in SELECT, FROM and WHERE
  • Correlated Subquery
  • EXISTS and NOT EXISTS
  • Derived Table and Inline View
  • Advanced Query Features
  • Common Table Expression (CTE) and Recursive CTE
  • Window Functions - ROW_NUMBER, RANK, DENSE_RANK, NTILE
  • LEAD, LAG, FIRST_VALUE and LAST_VALUE
  • Running Total and Moving Average Queries
  • Project
  • View
  • View Creation, Updating and Dropping
  • Advantages and Limitations of View
  • Updatable View and Complex View
  • Index and Performance
  • Index Concept, Clustered and Non Clustered
  • Creating and Dropping Index
  • EXPLAIN and Query Execution Plan
  • Query Optimization Basics and Common Slow Query Mistakes
  • Stored Programs
  • Stored Procedure - Creation, Parameter IN, OUT, INOUT
  • Stored Function and Return Value
  • Variable, Condition and Loop inside Stored Programs
  • Cursor and Row by Row Processing
  • Trigger - Before and After Insert, Update, Delete
  • Event Scheduler and Automatic Tasks
  • Transaction Management
  • Transaction Concept and ACID Properties
  • START TRANSACTION, COMMIT and ROLLBACK
  • SAVEPOINT and Partial Rollback
  • Locking, Deadlock and Isolation Level
  • Database Security and Administration
  • User Creation and Password Management
  • GRANT, REVOKE and Privilege Levels
  • Role Based Access Control
  • SQL Injection Concept and Prevention
  • Data Backup and Restore
  • mysqldump, Export and Import
  • CSV and Excel Data Import and Export
  • Database Migration Basics
  • Connectivity with Applications
  • MySQL with PHP, Python, Java and C#
  • Connection String and Driver Concept
  • Parameterized Query from Application
  • Practical Work
  • School and Student Result Database
  • Shop Billing and Inventory Database
  • Hospital Patient and Appointment Database
  • Employee, Attendance and Payroll Database
  • Library Management Database
  • Real Query Practice on Large Sample Data
  • Career and Interview Preparation
  • Common SQL Interview Questions and Query Puzzles
  • Path Ahead - PHP, Python, Power BI, Data Analysis and Backend Development
  • Emerging Technologies - Cloud Databases, NoSQL and AI Assisted Query Writing
  • Project Work
  • Internship