Ainwik Infotech · Course Curriculum

MySQL & SQL
Beginner to Advanced

Build a strong foundation in SQL and progress toward advanced concepts, practical knowledge,hands-on learning approach.

Beginner friendlyCore and Advance Window Functions SubQueries
Explore Course Curriculum
# Your SQL journey starts here
SELECT columns FROM table WHERE column operator (SELECT columns FROM table WHERE condition);
    window_function(expression) OVER (
    [PARTITION BY partition_expression]
    [ORDER BY order_expression]
    [frame_clause]
)

# Learn. Practice. Build.
Beginner → AdvancedProgressive learning path
Practical ApproachLearn concepts through practice
Real-Time Dashboard IntegrationConnect SQL databases to tools like Power BI, Tableau & Transformation
About the course

Start from the basics. Build powerful data skills with confidence.

This curriculum is designed for learners with no prior technical background as well as those who already understand programming and want to master SQL for data analysis, reporting, and application development.

What you’ll learn

Understand SQL fundamentals, work with databases, write efficient queries, and transform raw data into meaningful insights. You’ll gain hands-on experience with real-world datasets and learn how to design, manage, and optimize databases.

  • SQL basics and database fundamentals
  • Creating and managing tables
  • Data querying with SELECT, WHERE, and JOIN
  • Aggregation, grouping, and filtering

How the course is approached

Learn interactively from the ground up with practical explanations, real-world examples, and hands-on exercises. The course emphasizes clarity, application, and confidence-building through guided projects.

  • Step-by-step progression through core SQL concepts
  • Explore commonly used SQL commands and functions
  • Practice with real-world datasets and business scenarios
  • Advanced topics like optimization and indexing
Detailed syllabus

Explore the SQL curriculum

Open each module to view the topics covered. The listed headings may include multiple subtopics, and additional concepts may be included during the course.

01 Introduction to MySQL
  • What is a database?
  • DBMS vs RDBMS
  • Tables
  • Rows and columns
  • Primary Key
  • Foreign Key
  • Relationships
  • Normalization basics
02SQL Fundamentals & Filtering & Sorting
  • SQL introduction
  • Database creation
  • Table creation
  • Insert,Update,Delete,Select
  • WHERE
  • Comparison operators
  • Logical operators
  • AND,OR,NOT,BETWEEN,IN,LIKE,ORDER BY,DISTINCT
03Aggregate Functions,Date Functions & String Functions
  • COUNT()
  • SUM()
  • AVG()
  • MIN() & MAX()
  • Date extraction
  • Date difference
  • Date Formatting
  • UPPER() & LOWER()
  • LEN()
  • CONCAT()
  • SUBSTRING()
04Grouping & SQL Joins
  • GROUP BY
  • HAVING
  • Aggregation with conditions
  • Inner Join
  • Left Join
  • Right Join
  • Full Join
  • Self Join
  • Multiple-table joins
05Advanced SQL for Analytics
  • Subqueries
  • CTE
  • CASE statements
  • EOMonth, Weekday
  • Window functions
  • ROW_NUMBER() | RANK() | DENSE_RANK()
  • LEAD() & LAG()
  • Running totals
  • Ranking analysis
06 SQL Analytics Projects
  • Sales database analysis
  • Employee database analysis
  • Customer analysis
  • E-commerce database analysis

The curriculum headings are indicative. Multiple subtopics may be covered under each heading, along with additional concepts based on task requirements.

Learning journey

Build your SQL & MySQL skills step by step

A structured path through the major areas of the course.

⌘

SQL Foundations

Understand the basics of relational databases, tables, rows, columns, and data types. Learn how to create, modify, and manage databases using SQL commands and explore the structure of MySQL.

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Queries & Functions

Work with SELECT, WHERE, and JOIN statements to retrieve and filter data. Master aggregate functions, logical operators, and built-in MySQL functions for calculations and analysis.

⚙

Data Management

Organize and manage data efficiently using sorting, filtering, indexing, and constraints. Learn about normalization, relationships, and maintaining data integrity in MySQL.

▤

Data Analysis

Analyze business data using grouping, aggregation, and subqueries. Create reports, summaries, and insights using advanced SQL techniques and real-world datasets.

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Advanced SQL Skills

Explore stored procedures, triggers, views, and transactions. Understand query optimization, indexing strategies, and performance tuning for large-scale databases.

✦

Interactive Learning

Learn through hands-on exercises and real-world projects. Build dashboards, automate data workflows, and apply SQL and MySQL concepts to solve practical business problems.

Ready to begin your MySQL journey?

Start with the fundamentals and work your way toward advanced SQL concepts with Ainwik Infotech.

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