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SQL Training

Database SQL Training

Training in SQL for databases equips you with key technical skills for roles such as Database Administrator, Data Analyst, Data Engineer, and Business Intelligence Analyst. You learn to efficiently perform CRUD (Create, Read, Update, Delete) operations, write complex JOIN queries, and optimize performance through indexing and normalization techniques. SQL training enhances your ability to secure data, manage permissions, and integrate data from multiple sources.

Advanced skills include using window functions and analytical queries for in-depth data analysis. This expertise supports datadriven decision-making and robust data management, making you an invaluable asset in maintaining data integrity and facilitating strategic business insights. Mastery of SQL ensures you're well-prepared for the demands of these critical roles.

Benefits of SQL Training for Career Growth

Versatility : SQL skills are a baseline requirement for roles like data analysts, database administrators, and data engineers.
High Demand : Power BI’s user-friendly interface makes it accessible to both technical and non-technical professionals.
Foundational for Advanced Roles : Acts as a gateway to more advanced technologies like big data, machine learning, and data science.
Competitive Salaries : SQL-trained professionals are often rewarded with attractive pay scales.
Scalable Knowledge : SQL integrates seamlessly with modern data tools and platforms.

Course Detail

TOPICS	SUB TOPICS	DAY	DATE
Understanding Databases and SQL	Introduction to Databases and RDBMS	DAY 1
	Overview of SQL and its importance in data analysis
	What is MySQL?
	MySQL installation and setup
	Install MySQL on Windows/Linux/Mac
	Install MySQL Workbench
MySQL Basics		DAY 2
	Creating and Managing Databases
	MySQL Data Types:
	Numeric (INT, FLOAT, DOUBLE)
	String (VARCHAR, CHAR, TEXT)
	Date and Time
	Basic SQL syntax
	Hands-on: Create and describe tables.
Managing Tables	Create Tables	DAY 3
	AUTO_INCREMENT
	Rename Tables
	Add Columns
	Drop Columns
	Drop Tables
	Temporary Tables
	Generated Columns
MySQL Constraints	MySQL Constraints	DAY 4
	Primary Key
	Foreign Key
	UNIQUE Constraint
	NOT NULL Constraint
	DEFAULT Constraint
	CHECK Constraint
Data Definition Language (DDL)	MySQL DDL Commands:	DAY 5
	CREATE, ALTER, DROP
	Adding constraints: NOT NULL, UNIQUE, DEFAULT
	Hands-on:
	Create tables with constraints.
	Modify existing tables using ALTER.
Data Query Language (DQL)	SELECT statement and clauses:	DAY 6
	WHERE, ORDER BY, LIMIT
	Hands-on:
	Fetch data using SELECT queries.
	Filter data using WHERE conditions.
Recap and Practice	Solve basic MySQL queries to reinforce learning	DAY 7
MySQL aggregate function	various MySQL aggregate functions including	DAY 8
	SUM, AVG, MAX,
	MIN and COUNT functions.
Data Manipulation Language (DML)	MySQL DML Commands:	DAY 9
	INSERT, UPDATE, DELETE
	Bulk insert operations
	Hands-on: Populate and modify tables.
MySQL Comparison Functions	SELECT DISTINCT	DAY 10
	Arithmetic Operators in MySQL
	Comparison Operators in MySQL
	Logical Operators in MySQL
	NOT IN
	IS NULL
	BETWEEN	DAY 11
	LIKE
	LIMIT
MySQL String Functions	Concatenation Functions	DAY 12
	Substring Functions
	Searching and Locating Functions	DAY 13
	Case Conversion Functions
	Character Manipulation Functions
	Whitespace Functions	DAY 14
	Length and Count Functions
	Padding string functions
Recap and Practice	Solve MySQL queries to reinforce learning	DAY 15
MySQL Date Functions	Getting the current Date & Time	DAY 16
	Calculating Date and Time
	Converting Functions
	Formatting Date & Time functions	DAY 17
	Extracting Date & Time Functions
	Getting Month & Day Names
	Creating Date & Time Functions	DAY 18
	Handling Period Functions
Recap and Practice	Solve MySQL queries to reinforce learning	DAY 19
MySQL Math Functions	MySQL mathematical functions with practical & real world	DAY 20
Data Aggregation and Grouping	COUNT, SUM, AVG, MAX, MIN	DAY 21
	GROUP BY and HAVING clauses
	Hands-on: Write queries using aggregate functions.
Recap and Practice	Solve MySQL queries to reinforce learning	DAY 22
Relationships and Keys	Primary Key, Foreign Key, Composite Key	DAY 23
	One-to-One, One-to-Many, Many-to-Many relationships
	Hands-on: Define keys and implement relationships.
MySQL Joins	Fetch data from multiple tables using JOINs.	DAY 24
	Combine JOINs with WHERE and GROUP BY.	DAY 25
Recap and Practice	Solve MySQL queries to reinforce learning	DAY 26
Subqueries	Subqueries in SELECT, WHERE, and FROM clauses	DAY 27
	Correlated subqueries
	Hands-on: Write simple and complex subqueries.
Views in MySQL	What are Views? Advantages of using Views.	DAY 28
	Create, Update, and Drop Views
	Hands-on: Implement views for simplifying queries.
MySQL Indexes	Types of Indexes: Single-column, Multi-column, Unique	DAY 29
	How Indexes improve performance
	Create and manage indexes.
	Analyze query performance using EXPLAIN.
Recap and Practice	Solve MySQL queries to reinforce learning	DAY 30
MySQL Control Flow Functions	The control flow functions allow you	DAY 31
	to add if-then-else logic to SQL queries
MySQL Regular Expressions	MySQL regular expressions and offers	DAY 32
	you the most commonly used regular expression
	functions and operators in MySQL.
Recap and Practice	Solve MySQL queries to reinforce learning	DAY 33
Analytics Function	Aggregate window functions	DAY 34
	Value window functions
	Ranking window functions	DAY 35
Stored Procedures and Functions	Introduction to Stored Procedures and Functions	DAY 36
	Writing and Executing Stored Procedures
	Hands-on: Create procedures for repetitive tasks.
Recap and Practice	Solve MySQL queries to reinforce learning	DAY 37
Recap and Mini Project	Project:	DAY 38
	Design a database with multiple tables and relationships.
	Perform CRUD operations with Joins and Views.	DAY 39
Advanced MySQL	What are Triggers?	DAY 40
Triggers	BEFORE and AFTER triggers
	Hands-on: Create and manage triggers for automated tasks.
Transactions	ACID properties	DAY 41
	Commands: START TRANSACTION, COMMIT, ROLLBACK
	Hands-on: Implement transactions in practical use cases.
Recap and Practice	Solve MySQL queries to reinforce learning	DAY 42
Query Optimization	Query Execution Plan using EXPLAIN	DAY 43
	Best practices for writing efficient queries
	Hands-on:
	Optimize complex queries.	DAY 44
	Experiment with indexing and EXPLAIN.
Recap and Practice	Recap Basic MySQL and Practice	DAY 45 & 46
Recap and Practice	Recap Intermediate MySQL and Practice	DAY 47 & 48
Recap and Practice	Recap Advance MySQL and Practice	DAY 49 & 50
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