To be Scheduled

SQL for Data Management & Querying

Learn to manage and query databases efficiently using SQL. Gain hands-on skills in data retrieval, manipulation, and aggregation to support business analysis, reporting, and data-driven decision-making.

To be Scheduled_Weekends Only
Programming & Data Management

About this Training

This practical training equips participants with the knowledge and skills to work with relational databases using SQL. Learners will explore database design, data querying, filtering, joining, and aggregation. The course emphasizes hands-on exercises using real datasets, enabling participants to retrieve, manipulate, and analyze data effectively. By the end of the training, participants will be able to write complex queries, optimize database operations, and produce meaningful insights for business and research purposes.

What You'll Learn

  • Module 1: Introduction to SQL – Understanding databases tables and SQL basics
  • Module 2: Data Retrieval – SELECT statements filtering and sorting data
  • Module 3: Data Manipulation – INSERT UPDATE DELETE and handling transactions
  • Module 4: Joins & Relationships – Inner outer left right joins and relational integrity
  • Module 5: Aggregation & Grouping – Using COUNT SUM AVG GROUP BY and HAVING clauses
  • Module 6: Subqueries & Nested Queries – Writing complex queries for advanced data retrieval
  • Module 7: Views Indexes & Optimization – Creating views indexing and improving query performance
  • Module 8: Real-World Project – Applying SQL skills to practical business datasets

This training includes:

Hands-on SQL exercises with real datasets
Step-by-step guidance from basic to advanced SQL
Data retrieval and manipulation practice
Joining tables and managing relationships
Aggregation and grouping techniques
Writing subqueries and nested queries
Optimizing queries and database performance
Real-world project to consolidate skills

Skills you'll gain:

SQL query writing
Data retrieval and filtering
Data manipulation and transactions
Table joins and relational data management
Aggregation and grouping techniques
Subqueries and nested query design
Views and indexing
Real-world database analysis and reporting