SQL Developer Professional Program

Master SQL from beginner to advanced with hands-on querying, joins, functions, window analytics, performance tuning, data warehousing, and real-world projects. Build job-ready skills for Data Analytics, Business Intelligence, Data Engineering, and SQL Developer roles through practical learning.

Self-Paced

60 hours

20 modules

Recommended Course Audience

Aspiring Data Analysts Business Analysts SQL Developers Data Engineers Business Intelligence (BI) Developers Database Administrators (DBAs) ETL Developers Data Science Aspirants Software Developers Working with Databases Students and Fresh Graduates Seeking Data Careers

Pre-Required Skills

Basic computer knowledge
No programming experience required
Logical thinking and interest in data beneficial

Course Highlights

20 modules

This comprehensive SQL Masterclass takes learners from database fundamentals to advanced analytics, performance tuning, and data warehousing. Participants will master querying, data transformation, joins, window functions, CTEs, stored procedures, and optimization techniques. By course completion, learners will confidently analyze data, build scalable database solutions, and develop industry-ready SQL skills.

Learn database concepts, SQL fundamentals, database types, SQL Server installation, SSMS usage, and environment configuration for development.

Master core SQL queries using SELECT, WHERE, GROUP BY, HAVING, DISTINCT, sorting, filtering, and query execution concepts.

Create, modify, and manage database objects using CREATE, ALTER, and DROP statements while understanding schema management.

Perform data insertion, updates, and deletions efficiently while maintaining data accuracy, integrity, and consistency across tables.

Filter and retrieve precise data using comparison, logical, pattern matching, range, and membership operators effectively.

Combine information from multiple tables using joins and understand relationships between datasets for business analysis.

Merge and compare datasets using UNION, UNION ALL, EXCEPT, and INTERSECT for advanced data integration tasks.

Transform, manipulate, and analyze textual, numerical, and date-based data using built-in SQL functions and expressions.

Manage missing values, data inconsistencies, and null-related operations to improve overall data quality and reliability.

Implement business rules and conditional transformations using CASE expressions for dynamic categorization and reporting purposes.

Perform aggregations, running calculations, moving averages, and analytical computations using powerful SQL window functions.

Generate rankings, percentiles, distributions, and advanced analytical insights using specialized SQL ranking window functions.

Build modular, reusable, and complex queries using subqueries, correlated queries, recursive logic, and CTEs.

Create reusable database objects, temporary storage structures, and abstraction layers to simplify data access operations.

Automate database processes, implement procedural logic, handle errors, and create event-driven database applications effectively.

Optimize queries using indexes, execution plans, partitioning, statistics, and performance tuning techniques for scalability.

Leverage ChatGPT, Copilot, and AI tools to generate queries, debug code, learn concepts, and improve productivity.

Design and implement a complete data warehouse with ETL pipelines, dimensional models, and layered architecture.

Analyze business datasets, identify trends, segment customers, generate insights, and build analytical reports using SQL.

$199.00

This course is coming soon. Enrollment is not yet open.

Level : Beginner

Modules : 20

Duration : 60 hours