Want to turn raw data into valuable insights?
This SQL & MySQL for Data Analysis course is designed for beginners and aspiring data professionals who want to learn how to query, manage, clean, and analyze data using SQL and MySQL.
From basic database concepts to advanced data analysis techniques, this course will help you build the practical skills needed for data analytics, reporting, business intelligence, and decision-making.
Whether you’re a student, job seeker, business professional, or future data analyst, this course will give you hands-on knowledge to work confidently with real-world data.
Key Learning Outcomes
- Understand databases, SQL, and MySQL from scratch
- Write and execute SQL queries confidently
- Perform CRUD operations (SELECT, INSERT, UPDATE, DELETE)
- Work with constraints and maintain data integrity
- Analyze data using aggregate functions
- Master SQL joins and relationships
- Use subqueries and self joins effectively
- Apply advanced concepts like window functions and CTEs
- Create views, temporary tables, and stored routines
- Follow SQL best practices for real-world projects
Course Content
1. Introduction to Databases, SQL, and MySQL
- Overview of databases
- Introduction to SQL
- Understanding MySQL
- Course setup and basics
2. SQL Theory
- Core SQL concepts
- How SQL works behind the scenes
- Query structure and logic
3. Basic Database Terminology
- Tables, rows, columns
- Primary keys and relationships
- Data types and schemas
4. Installing MySQL & Interface Overview
- MySQL installation
- Setting up environment
- Navigating the interface
5. First Steps in SQL
- Writing your first queries
- Basic SELECT statements
- Filtering data
6. MySQL Constraints
- NOT NULL
- UNIQUE
- PRIMARY KEY
- FOREIGN KEY
7. SQL Best Practices
- Writing clean queries
- Formatting and readability
- Performance basics
8. Loading the ‘Employees’ Database
- Importing dataset
- Understanding real-world data structure
9. SQL SELECT Statement
- Retrieving data
- Filtering and sorting
- Using conditions (WHERE, ORDER BY)
10. SQL INSERT Statement
- Adding new data
- Working with multiple records
11. SQL UPDATE Statement
- Modifying existing data
- Using conditions safely
12. SQL DELETE Statement
- Removing records
- Avoiding common mistakes
13. MySQL Aggregate Functions
- COUNT(), SUM(), AVG()
- MIN(), MAX()
- GROUP BY and HAVING
14. SQL Joins
- INNER JOIN
- LEFT JOIN
- RIGHT JOIN
- Combining multiple tables
15. SQL Subqueries
- Nested queries
- Using subqueries in SELECT and WHERE
16. SQL Self Join
- Joining a table with itself
- Real-world use cases
17. SQL Views
- Creating virtual tables
- Simplifying complex queries
18. Stored Routines
- Stored procedures
- Reusable SQL logic
19. Advanced SQL Topics
- Query optimization basics
- Advanced filtering techniques
20. SQL Window Functions
- Ranking and partitioning
- Running totals and analytics
21. SQL Common Table Expressions (CTEs)
- Writing cleaner queries
- Replacing complex subqueries
22. SQL Temporary Tables
- Creating temporary datasets
- Session-based data handling
Career Path
After completing this course, you can pursue:
- Data Analyst
- Business Intelligence (BI) Analyst
- SQL Developer
International Student Fees: USD 143
ob Interview Preparation (Soft Skills Questions & Answers)
- Tough Open-Ended Job Interview Questions
- What to Wear for Best Job Interview Attire
- Job Interview Question- What are You Passionate About?
- How to Prepare for a Job Promotion Interview
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Flexible Class Options
- Weekend Classes For Professionals SAT | SUN
- Corporate Group Trainings Available
- Online Classes – Live Virtual Class (L.V.C), Online Training
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