Description

Course Description:

The Advanced SQL Queries Course is designed for professionals and students who already have basic SQL knowledge and want to enhance their skills in writing optimized, complex, and efficient queries. This course covers advanced concepts such as subqueries, joins, window functions, indexing, performance tuning, and real-world database scenarios. By the end of this course, learners will be able to handle large datasets, optimize queries, and design queries for analytics and reporting.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After Advanced SQL Queries Certified Course:

• Data Analyst
• Business Intelligence (BI) Developer
• Database Developer
• Data Engineer
• ETL Developer
• Data Scientist (SQL-focused)
• SQL Developer
• Application Developer
• Database Administrator

Essential Skills you will Develop Advanced SQL Queries Certified Course:

• Technical Skills
• Problem-Solving Skills
• Professional Skills

Tools Covered:

• MySQL
• PostgreSQL
• Microsoft SQL Server
• Oracle Database

Syllabus:

Module 1: Review of SQL Fundamentals Quick recap of SQL basics Data types and constraints SQL functions (aggregate & scalar).

Module 2: Advanced Joins INNER, LEFT, RIGHT, FULL joins deep dive CROSS JOIN and SELF JOIN Multiple table joins with conditions.

Module 3: Subqueries and Nested Queries Single-row and multi-row subqueries Correlated subqueries Subqueries in SELECT, FROM, WHERE, and HAVING clauses.

Module 4: Common Table Expressions (CTEs) Introduction to CTEs Recursive CTEs  CTEs vs Subqueries.

Module 5: Window Functions Ranking functions (ROW_NUMBER, RANK, DENSE_RANK) Aggregate functions with OVER() Running totals, moving averages, and partitions.

Module 6: Advanced Data Manipulation UPSERT operations (MERGE statement) Advanced INSERT, UPDATE, DELETE Handling NULLs effectively.

Module 7: Indexing and Performance Optimization Index types (clustered, non-clustered, composite) Query execution plans Optimizing query performance.

Module 8: Advanced Set Operations UNION, UNION ALL, INTERSECT, EXCEPT Advanced usage in analytics queries.

Module 9: Advanced Analytical Queries Pivoting and unpivoting data Case statements and conditional logic Advanced grouping (GROUPING SETS, CUBE, ROLLUP).

Module 10: Real-World Applications & Projects Writing queries for business reporting Querying big data and large-scale datasets Capstone project: Designing complex SQL queries for an analytics dashboard.

Industry Projects:

• Employee performance analysis using window functions
• Sales and revenue forecasting with SQL queries
• Data cleaning and transformation using advanced SQL

 Who is this program for?

• Students & Fresh Graduates
• Data Analysts & Business Analysts
• Software Developers
• Database Developers & Administrators
• Data Engineers
• BI Professionals
• Aspiring Data Scientists
• Anyone working with Relational Databases

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com