SQL
Master SQL for Data Analytics with Kastra Technologies
Learn how to query, analyze, and manage data using SQL — one of the most in-demand skills in analytics and tech.
- ✔ 60+ Hours structured SQL training
- ✔ Beginner to advanced level coverage
- ✔ Hands-on practice with real datasets
- ✔ Learn joins, aggregations, and advanced queries
- ✔ Work with business use-case scenarios
- ✔ Build portfolio-ready SQL projects
- ✔ Industry-relevant tools & workflows
- ✔ Certification from Kastra Technologies
- ✔ Career support & interview preparation
- ✔ Next batch starting soon
Master SQL and Build Real-World Data Skills
This SQL course gives you a solid foundation in how databases work and how data is stored, organized and retrieved. You’ll start with the basics of SQL, including creating tables, applying constraints and performing essential CRUD operations. The goal is to help you understand the structure behind every modern application and analytics workflow.
As you progress, you’ll learn how to write powerful analytical queries using filters, joins, aggregations and functions. You’ll work with real datasets to clean, transform and summarize information. The course also covers important concepts like normalization, relationships, stored procedures and error handling, so you can manage data efficiently in real business scenarios.
The final part of the course takes you into advanced topics such as indexing, performance optimization, transactions, backups and security. You’ll build a complete project and practice solving real-world problems. By the end, you’ll be able to design databases, write optimized queries and support data-driven decisions with confidence.
Course Overview
Become a Data Expert with Our SQL Training Program
Unlock the power of data with our comprehensive SQL Course, carefully designed to take you from beginner to job-ready professional. In this hands-on program, you’ll learn how to manipulate, analyze, and manage relational databases using Structured Query Language (SQL) — the backbone of data-driven decision-making.
From core fundamentals to advanced techniques, you'll master:
- Writing and optimizing SQL queries
- Filtering, joining, and aggregating data
- Building efficient database structures and models
- Working with real-world datasets in business scenarios
SQL Course Curriculum
This SQL Course Curriculum is designed to take students from beginner to expert level.
Module 1 – Foundations of SQL & Database Systems
➤ Introduction to Databases: DBMS vs RDBMS
➤ SQL Server Installation & Setup
➤ SQL Commands: CREATE, ALTER, UPDATE, DELETE, DROP, TRUNCATE
➤ Constraints: Primary Key, Foreign Key, Unique, Check, Default
Practical Task
Set up SQL Server, create a sample database, and practice table creation.
Pro Tip
Focus on understanding data integrity — constraints ensure clean data.
Learning Outcome
Build and manage relational databases with basic CRUD operations.
Module 2 – Querying and Data Aggregation
➤ WHERE, IN, BETWEEN, LIKE, ORDER BY, ALIAS
➤ Aggregate Functions: COUNT, MIN, MAX, SUM, AVG
➤ GROUP BY and HAVING
➤ CASE for conditional logic
Practical Task
Analyze datasets using filtering and aggregation.
Pro Tip
Use GROUP BY with aggregates and HAVING for filtered summaries.
Learning Outcome
Write analytical SQL queries for reporting and insights.
Module 3 – Working with Functions
➤ String Functions: LEN, SUBSTRING, REPLACE, CONCAT
➤ Numeric Functions: ROUND, CEILING, FLOOR
➤ DateTime: GETDATE, DATEADD, DATEDIFF, FORMAT
➤ CAST & CONVERT
Practical Task
Clean and standardize data formats.
Pro Tip
Combine CAST and string functions to format outputs.
Learning Outcome
Transform and clean raw data efficiently.
Module 4 – Joins and Normalization
➤ Primary & Foreign Keys
➤ Normalization: 1NF, 2NF, 3NF
➤ Joins: INNER, LEFT, RIGHT, FULL
➤ Data Relationships
Practical Task
Design schema and write join queries.
Pro Tip
Normalize to reduce redundancy.
Learning Outcome
Analyze data across multiple tables.
Module 5 – Stored Procedures & Programming Logic
➤ Multiple SQL statements
➤ Stored Procedures
➤ Scalar & Tabular Functions
➤ Temporary Tables & Variables
➤ IF–ELSE logic
Practical Task
Create a stored procedure for daily reports.
Pro Tip
Modular SQL improves reusability.
Learning Outcome
Automate SQL workflows efficiently.
Module 6 – Advanced SQL Queries & Data Management
➤ Subqueries
➤ Views & Triggers
➤ Transactions (ACID)
➤ Indexing
➤ Security & Backups
Practical Task
Simulate real-world systems with transactions.
Pro Tip
Indexing improves read performance.
Learning Outcome
Optimize and secure SQL systems.
Module 7 – Project & Real-World Application
➤ MOCKAROO – Data Generator
➤ Hospital Management System Design
Practical Task
Build a complete database project.
Pro Tip
Document relationships clearly.
Learning Outcome
Apply SQL in real-world scenarios.
Learning Outcome:
You’ll create a fully functional real-world SQL project ready for portfolio demonstration.
Through practical projects based on customer, inventory, and transaction data, you’ll gain the technical expertise and confidence employers look for in data analysts, developers, and business intelligence professionals. By the end of the course, you’ll be fully equipped to extract insights, build data solutions, and secure your place in the data-driven job market.
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