Courses Description

SQL stands for Structured Query Language, the standard language for relational database management systems. It is one of the most widely used programming languages in business. Proficiency in SQL is essential for any technical and non-technical roles like database administrators, data analysts, business intelligence, sales, and support. Learn the fundamentals of database and SQL queries to interact with databases. Connecting to the databases like SQL Developer, Oracle, MySQL, and SQL Server. Gain knowledge of how to integrate and manipulate complex SQL data sets, break large data sets down into manageable subsets for further processing, and derive challenging business calculations through SQL queries.

Course content

• Database
  • Introduction to Database.
  • Relational Database Theory.
  • Database design.
  • Uses of Database.
  • Environment Overview.
  • Data Management System.
  • Connecting to Database.
  • Introduction to SQL.
  • Installing SQL server.
  • Schema.
• SQL Syntax
  • Basic SQL syntax.
  • SELECT statements.
  • Selecting attributes.
  • Clauses.
  • Filtering data with Where clause.
  • Data Sorting with Order By Clause.
  • Selecting All columns.
  • Eliminating Duplicate value.
  • Concatenation.
  • Using Column Alias.
  • Select statements with arithmetic operators.
  • Relational Operators.
  • Likes & Wildcards.
• Data Definition Language (DDL)
  • Building the schema objects.
  • Creating Database Objects.
  • Dropping Schema Objects.
  • Alter table statements.
  • Database Normalization.
• Data Manipulation Language (DML)
  • Insert Statement.
  • Inserting Multiple rows.
  • Merge the data.
  • Merge Statement.
  • Simple Update and Delete Statements.
• Transaction Control Language (TCL)
  • Commit and Rollback statements.
  • Implicit and Explicit Transactions.
• Single Row Function
  • SQL functions Overview
  • Aggregate/Group Functions- Sum(), Avg(), count().
  • Having Clause.
  • Logical Functions.
  • Number Functions.
  • Date and Time Functions.
  • Conversion Functions.
  • Case Manipulation Functions.
  • User-defined Functions.
• Analytical Function
  • Introduction to Analytical Function.
  • Ranking Data.
  • LAG and LEAD functions.
  • ROW_NUMBER
  • Dense_Rank
  • Pivot
• Data Retrieve from Multiple Tables
  • Querying Multiple tables.
  • Joins.
  • Inner Joins and Equi Joins.
  • Self-Join.
  • Left Join and Right Join.
  • Cartesian Product.
  • Table aliases.
  • Set Operations.
  • Union and Union all.
  • Intersect Operators.
  • Define Subqueries.
  • Single-row and Multiple-row Sub-queries.
  • Using ANY and All operators in multiple row Subqueries.
  • Null values in a Subqueries.
  • Correlated Subqueries.
  • Subqueries vs Joins.
• Indexes and Views
  • Define Index.
  • Types of Index.
  • Indexing for performance.
  • Maintaining Index.
  • Dropping Index.
  • Introduction to Views.
  • Types of Views.
  • Creating and using Views.
• Materialized View
  • Introduction to Materialized View.
  • COMMIT option.
  • ON DEMAND option.
  • REFRESH FAST option.
• Data Control Language
  • SNS
  • Grant Object Privileges.
  • Revoke Object Privileges.
  • Deny.
  • Create and Grant Privileges to a role.
• Data Dictionary Objects
  • User_objects and User_objects.
  • Information of tables and columns.
  • Dictionary of views, constraints, synonyms information, sequence.
  • Data Dictionary Views.
• Data Integrity and Constraints
  • Concepts of Data Integrity.
  • Data types and Constraints.
  • Primary key and Foreign Key.
  • Unique Constraints.
  • Check Constraints.
  • Introduction to store procedures.
  • Database Triggers.
• Query Execution Plans
  • Performance Tuning.
  • Estimated Plans.
  • Query Plan cost.
  • Query optimization techniques.
  • Understanding Performance.
• Advanced Concepts
  • Case statements.
  • Transforming the Data.
  • Table Partitioning.
  • Regular Expressions.
  • Hints.
  • SQL Loader
  • External Table.
  • Exception Handling.

Why Choose Tops Technologies ?

Highlights of Our SQL Course

• Learn SQL basics through 30+ hours of comprehensive video lectures.
• Practice with 50+ real-world SQL exercises to reinforce learning.
• Gain proficiency in SQL queries, used in 80% of data-related job roles.
• Access to a dedicated SQL practice environment for hands-on experience.
• Understand database design principles with 20+ practical examples.
• Master data manipulation with SQL, crucial for 90% of data-driven decisions.
• Join a community of 10,000+ learners benefiting from our SQL course.
• Receive personalized feedback on 100+ SQL assignments to track progress.