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Master SQL Server from Basic to Advanced - 25 hrs Training
Rating: 5.0 out of 5(11 ratings)
198 students

Master SQL Server from Basic to Advanced - 25 hrs Training

Complete SQL Server Training: SQL Queries, Joins, CTEs, Stored Procedures, Triggers, and Database Development
Created byajay parmar
Last updated 6/2026
English

What you'll learn

  • Write SQL queries confidently to retrieve, filter, sort, summarize, and analyze data using real-world business scenarios.
  • Design and manage SQL Server databases by creating tables, relationships, primary keys, foreign keys, and other constraints while maintaining data integrity.
  • Develop advanced database solutions using Stored Procedures, Triggers, Views, Common Table Expressions (CTEs), and error-handling techniques.
  • Improve database performance through indexing, query optimization techniques, and practical troubleshooting methods used in real-world projects.

Course content

8 sections78 lectures24h 38m total length
  • Basic Terms use in Database18:56
  • Dowload SQL Server1:30

    I am attaching here the part2 sql also. i have attached databases also , though you can too create these yourself as they are very small and easy to create.

  • Download SSMS and Adventure database1:30
  • Select Query | Where Clause | Order By35:53
  • Your Score is your level
  • NOT IN | IN operators16:26
  • Objective Questions Part120:24
  • As keyword and Group by50:54
  • HAVING Clause9:42
  • OVER Clause17:13
  • Over and Group by concept - Nested Aggregations20:44
  • OVER For cumulative totals13:24
  • OVER for Cumulative Total with Partitions15:28
  • Check your score.
  • Questions GroupBy - Next level discussion47:44

Requirements

  • Basic Excel functions is fine to take up this course. No coding required.

Description

This course is designed for beginners, working professionals, data analysts, software developers, database developers, and anyone preparing for SQL Server interviews.

Throughout the course, every concept is explained using practical examples, hands-on exercises, interview scenarios, and real-world business cases.

In This Course You Will Learn


• SQL Server Installation and Configuration

• Creating and Managing Databases

• Understanding Tables, Rows, Columns, and Data Types

• Creating Tables Using SQL Scripts

• Primary Key Constraint

• Foreign Key Constraint

• Unique Constraint

• Referential Integrity Concepts

• INSERT Statements from Basic to Advanced

• UPDATE Statements with Real-World Examples

• DELETE Statements and Data Management

• SELECT Queries and Data Retrieval

• Filtering Data Using WHERE Clause

• Sorting Data Using ORDER BY

• Aggregate Functions and Group By

• HAVING Clause

• Working with NULL Values

• String Functions

• Date Functions

• Mathematical Functions

• SQL Server Joins (INNER JOIN)

• LEFT JOIN

• RIGHT JOIN

• FULL OUTER JOIN

• SELF JOIN

• Joining Multiple Tables

• UNION and UNION ALL

• Subqueries

• Correlated Subqueries

• Common Table Expressions (CTEs)

• Views and Their Practical Usage

• Stored Procedures from Basic to Advanced

• Input Parameters

• Output Parameters

• Error Handling Using TRY...CATCH

• Dynamic SQL Concepts

• SQL Server Triggers

• AFTER Triggers

• INSTEAD OF Triggers

• Handling Duplicate Records Through Triggers

• Bulk Insert Scenarios Using Triggers

• SQL Server Indexes

• Clustered Indexes

• Non-Clustered Indexes

• Understanding Query Performance

• Query Optimization Concepts

• Execution Plan Basics

• Transactions and Data Consistency

• Interview Questions and Practical Scenarios

• Excel and SQL Server Integration

• Power Query and SQL Server Integration

• Real-World Database Development Scenarios

Course Features

• Step-by-Step Learning Approach

• Beginner to Advanced Coverage

• Practical Hands-On Examples

• Real-World Business Scenarios

• Interview-Oriented Training

• Industry Best Practices

• Detailed Explanations of Every Topic

• Exercises for Practice

• Project-Based Learning

• Suitable for Students and Working Professionals

Who this course is for:

  • Data Analysts and those who work with medium or especially large datasets.