Master in SQL with Us
Course Description
Introduction to SQL
Advanced SQL
Introduction to MySQL
Introduction To PostgreSQL
Advanced PostgreSQL
SQL Course Content
1.1 Various types of databases
1.2 Introduction to Structured Query Language
1.3 Distinction between client-server and file-server databases
1.4 Understanding SQL Server Management Studio
1.5 SQL table basics
1.6 Data types and functions
1.7 Transaction-SQL
1.8 Authentication for Windows
1.9 Data control language
1.10 The identification of the keywords in T-SQL, such as Drop Table
2.1 Entity-Relationship Model
2.2 Entity and Entity Set
2.3 Attributes and types of Attributes
2.4 Entity Sets
2.5 Relationship Sets
2.6 Degree of Relationship
2.7 Mapping Cardinalities, One-to-One, One-to-Many, Many-to-one, Many-to-many
2.8 Symbols Used in E-R Notation
3.1 Introduction to relational databases
3.2 Fundamental concepts of relational rows, tables, and columns
3.3 Several operators (such as logical and relational), constraints, domains, indexes, stored procedures, primary and foreign keys
3.4 Understanding group functions
3.5 The unique key
4.1 Advanced concepts of SQL tables
4.2 SQL functions
4.3 Operators & queries
4.4 Table creation
4.5 Data retrieval from tables
4.6 Combining rows from tables using the inner, outer, cross, and self joins
4.7 Deploying operators such as ‘intersect,’ ‘except,’ ‘union,’
4.8 Temporary table creation
4.9 Set operator rules
4.10 Table variables
5.1 Understanding SQL functions – what do they do?
5.2 Scalar functions
5.3 Aggregate functions
5.4 Functions that can be used on different datasets, such as numbers, characters, strings, and dates
5.5 Inline SQL functions
5.6 General functions
5.7 Duplicate functions
6.1 Understanding SQL subqueries, their rules
6.2 Statements and operators with which subqueries can be used
6.3 Using the set clause to modify subqueries
6.4 Understanding different types of subqueries, such as where, select, insert, update, delete, etc.
6.5 Methods to create and view subqueries
7.1 Learning SQL views
7.2 Methods of creating, using, altering, renaming, dropping, and modifying views
7.3 Understanding stored procedures and their key benefits
7.4 Working with stored procedures
7.5 Studying user-defined functions
7.6 Error handling
8.1 User-defined functions
8.2 Types of UDFs, such as scalar
8.3 Inline table value
8.4 Multi-statement table
8.5 Stored procedures and when to deploy them
8.6 What is rank function?
8.7 Triggers, and when to execute triggers?
9.1 Records grouping, advantages, searching, sorting, modifying data
9.2 Clustered indexes creation
9.3 Use of indexes to cover queries
9.4 Common table expressions
9.5 Index guidelines
10.1 Correlated Subquery, Grouping Sets, Rollup, Cube, Rank, CTE, Indexes, and Triggers
Correlated Subquery, Rollup, Grouping Set and Cubes
11.1 Applying transactions
11.2 Using the transaction behavior to identify DML statements
11.3 Learning about implicit and explicit transactions
11.4 Isolation levels management
11.5 Understanding concurrency and locking behavior
11.6 Using memory-optimized tables
12.1 Creating Transact-SQL queries
12.2 Querying multiple tables using joins
12.3 Implementing functions and aggregating data
12.4 Modifying data
12.5 Determining the results of DDL statements on supplied tables and data
12.6 Constructing DML statements using the output statement
12.7 Querying data using subqueries and APPLY
12.8 Querying data using table expressions
12.9 Grouping and pivoting data using queries
12.10 Querying temporal data and non-relational data
12.11 Constructing recursive table expressions to meet business requirements
12.12 Using windowing functions to group
12.13 Rank the results of a query
12.14 Creating database programmability objects by using T-SQL
12.15 Implementing error handling and transactions
12.16 Implementing transaction control in conjunction with error handling in stored procedures
12.17 Implementing data types and NULL
12.18 Designing and implementing relational database schema
12.19 Designing and implementing indexes
12.20 Learning to compare between indexed and included columns
12.21 Implementing clustered index
12.22 Designing and deploying views
12.23 Column store views
12.24 Explaining foreign key constraints
12.25 Using T-SQL statements
12.26 Usage of Data Manipulation Language (DML)
12.27 Designing the components of stored procedures
12.28 Implementing input and output parameters
12.29 Applying error handling
12.30 Executing control logic in stored procedures
12.31 Designing trigger logic, DDL triggers, etc.
12.32 Accuracy of statistics
12.33 Formulating statistics maintenance tasks
12.34 Dynamic management objects management
12.35 Identifying missing indexes
12.36 Examining and troubleshooting query plans
12.37 Consolidating the overlapping indexes
12.38 The performance management of database instances
12.39 SQL server performance monitoring
13.1 Performance Tuning and Optimizing SQL Databases
13.2 Querying Data with Transact-SQL
SQL is a robust database management system commonly utilized for data manipulation and retrieval. If you intend to integrate SQL data into a website, you can achieve this through methods such as SQL Server Reporting Services (SSRS) or by utilizing SQL queries for web content generation.
SQL, a potent database management system, serves as a cornerstone for data manipulation and retrieval. To seamlessly integrate SQL data into a website, you can employ various strategies. Options include utilizing SQL Server Reporting Services (SSRS) to create interactive reports and dashboards for data analysis on the web or crafting custom SQL queries for dynamic content generation, which allows for embedding SQL-derived content directly into your website for a comprehensive and interactive data-driven experience.
Course detail
The SQL course is tailored to a diverse audience, making it suitable for individuals with a range of experience levels and roles in data management, analysis, and database development. Whether you're a beginner looking to grasp the fundamentals of querying and database management, a seasoned database administrator responsible for maintaining, securing, and optimizing databases, a data analyst seeking to enhance your data manipulation and analysis skills using SQL, or a software developer looking to incorporate SQL into your applications, this course is designed to cater to your specific needs and goals.
Learning SQL, a fundamental language for managing and querying databases, requires some foundational knowledge and skills. Computer literacy is essential, and basic math proficiency can aid in grasping SQL concepts. While prior database understanding can be beneficial, it's not mandatory. SQL is not a programming language, so no prior programming experience is necessary, making it accessible to beginners. Access to a SQL database system is crucial for hands-on practice, and numerous free options are available. Ultimately, a genuine desire to explore data manipulation and analysis is the most important prerequisite, as SQL empowers individuals to work with data efficiently, making it a valuable skill for various roles in data management and analysis.
Pursuing an online SQL course in India is a smart choice. SQL is the backbone of data management and is in high demand across various industries in India. Online courses offer flexibility, allowing you to learn at your own pace and fit your studies into your schedule. With India's growing emphasis on data-driven decision-making, SQL skills can significantly enhance your career prospects. Additionally, online courses are often cost-effective, saving you both time and money while gaining valuable expertise in this critical field.