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SQL Certification Training Course

Welcome to our SQL Certification Training Course, where you’ll embark on a comprehensive journey to master the art of SQL. Whether you’re completely new or have some database experience, this course is designed to cater to all skill levels. Guided by seasoned industry professionals, you’ll not only gain a deep understanding of SQL but also develop the practical skills needed to excel in the world of relational databases. By the end of this course, you’ll be fully equipped to tackle real-world data challenges with confidence and earn a sought-after certification that will set you on the path to a rewarding career in data management.

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Duration 30+ hrs

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SQL Certification Course Highlights

In our SQL Certification Course, you’ll delve into advanced querying techniques and master the essentials of database management. Whether you’re a newcomer or looking to enhance your existing skills, this program is your ticket to career advancement. At Thinkcloudly, we’re dedicated to equipping you with the in-demand SQL skills that employers are actively seeking. Get ready to unlock the power of structured query language and propel your career to new heights with us.

SQL Certification Course Learnings

Master SQL fundamentals for database management.

Gain hands-on experience through practical projects.

Develop data manipulation and analysis skills.

Learn efficient database design principles.

Prepare for SQL certification exams.

SQL Certification Course Curriculum

  • Various types of databases
  • Introduction to structured query language
  • Distinction between client server and file server databases
  • Understanding SQL Server Management Studio 
  • SQL Table basics
  • Data types and functions
  • Transaction-SQL
  • Authentication for Windows
  • Data control language
  • The Identification of the keywords in T-SQL, such as Drop Table
  • Entity-Relationship Model
  • Entity and Entity Set
  • Attributes and types of Attributes
  • Entity Sets
  • Relationship Sets
  • Degree of Relationship
  • Mapping Cardinalities, One-to-One, One-to-Many, Many-to-One, Many-to-Many
  • Symbols used in E-R Notation
  • Introduction to relational databases
  • Fundamental concepts of relational rows, tables, and columns
  • Several operators (such as logical and relational), constraints, domains, indexes, stored procedures, primary and foreign keys
  • Understanding group functions
  • The unique key
  • Advanced concepts of SQL tables
  • SQL functions
  • Operators & queries
  • Table creation
  • Data retrieval from tables
  • Combining rows from tables using inner, outer, cross and self joins
  • Deploying operators such as ‘intersect’, ‘except’ , ‘union’
  • Temporary table creation
  • Set operator rules
  • Table variables
  • Understanding SQL functions- What do they do?
  • Scalar functions
  • Aggregate functions
  • Functions that can be used on different datasets, such as numbers, characters, strings and dates
  • Inline SQL functions
  • General functions
  • Duplicate functions
  • Understanding SQL subqueries, their rules
  • Statements and operators with which subqueries can be used
  • Using the set clause to modify subqueries
  • Understanding different types of subqueries, such as where, select, insert, update, delete, etc.
  • Methods to create and view subqueries
  • Learning SQL views
  • Methods of creating, using, altering, renaming, dropping, and modifying views
  • Understanding stored procedures and their key benefits
  • Working with stored procedures
  • Studying user-defined functions
  • Error handling
  • User-defined functions
  • Types of UDFs, such as scalar
  • Inline table value
  • Multi-statement table
  • Stored procedures and when to deploy them
  • What is rank function?
  • Triggers, and when to execute triggers?
  • Records grouping, advantages, searching, sorting, modifying data
  • Clustered indexes creation
  • Use of indexes to cover queries
  • Common table expressions
  • Index guidelines
  • Correlated Subquery, Grouping Sets, Rollup, Cube, Rank, CTE, Indexes and Triggers Correlated Subquery, Rollup, Grouping Set and Cubes
  • Applying transactions
  • Using the transaction behavior to identify DML Statements
  • Learning about implicit and explicit transactions
  • Isolation levels management
  • Understanding concurrency and locking behaviour
  • Using memory- optimized tables
  • Creating Transact-SQL queries
  • Querying multiple tables using joins
  • Implementing functions and aggregating data
  • Modifying data
  • Determining the results of DDL statements on supplied tables and data
  • Constructing DML statements using the output statement
  • Querying data using subqueries and APPLY
  • Querying data using table expressions
  • Grouping and pivoting data using queries
  • Querying temporal data and non- relational data
  • Constructing recursive table expressions to meet business requirements
  • Using windowing functions to group
  • Rank the results of a query
  • Creating database programmability objects by using T-SQL
  • Implementing error handling and transactions
  • Implementing transaction control in conjunction with error handling in stored procedures
  • Implementing data types and NULL
  • Designing and implementing relational database schema
  • Designing and implementing indexes
  • Learning to compare between indexed and included columns
  • Implementing clustered index
  • Designing and deploying views
  • Column store views
  • Explaining foreign key constraints
  • Using T-SQL statements
  • Usage of Data Manipulation Language (DML)
  • Designing the components of stored procedures
  • Implementing input and output parameters
  • Applying error handling
  • Executing control logic in stored procedures
  • Designing trigger logic, DDL triggers, etc.
  • Accuracy of statistics
  • Formulating statistics maintenance tasks
  • Dynamic management objects management
  • Identifying missing indexes
  • Examining and troubleshooting query plans
  • Consolidating the overlapping indexes
  • The performance management of database instances
  • SQL server performance monitoring
  • Performance Tuning and Optimizing SQL Databases
  • Querying Data with Transact-SQL

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