SQL

SQL, or Structured Query Language, is a powerful and standardized programming language designed for managing and manipulating relational databases. It serves as the primary tool for interacting with databases, allowing you to create, retrieve, update, and delete data, as well as define and maintain database structures.

SQL is a fundamental skill for anyone working in data-related fields, such as database administration, data analysis, business intelligence, and software development. It provides the means to efficiently extract valuable insights from data, make data-driven decisions, and ensure data integrity, making it an essential tool in the world of software and data management.

Learning SQL offers a plethora of advantages. It equips you with the skills needed to work with data effectively, whether it's for managing databases, querying large datasets, or generating reports. SQL proficiency is in high demand across various industries, creating ample job opportunities.

By choosing to learn SQL through our software training institute, you gain access to structured, expert-guided learning. Our experienced instructors will help you master SQL, ensuring you acquire practical skills and a strong foundation in data management and analysis.

This knowledge empowers you for a successful career in roles related to data handling, software development, and database administration, allowing you to excel in the data-driven world of today's technology landscape.

What You Will Learn:

• SQL Fundamentals: Understanding the basics of SQL, including data types and query structure .
• Data Retrieval: Writing SQL queries to retrieve information from a database.
• Data Modification: Performing data insertion, updating, and deletion using SQL commands.
• Database Design: Creating and managing database tables, relationships, and constraints.
• Data Filtering and Sorting: Using SQL to filter and sort data for specific requirements.
• Aggregation and Grouping: Learning to perform aggregate functions and group data in SQL queries.

Course Lesson:

• Lesson 01
• Relational Database Fundamentals
• Organizing information, Defining “database” in digital terms, Deciphering DBMS, Looking at the evolution of database models, Defining “relational database”, Considering the challenges of database design.
• Lesson 02
• SQL Fundamentals
• Understanding SQL, Clearing up SQL misconceptions, Taking a look at the different SQL standards, Getting familiar with standard SQL commands and reserved words, Representing numbers, characters,dates, times, and other data types, Exploring null values and constraints, Putting SQL to work in a client/server system, Considering SQL on a network.
• Lesson 03
• The Components of SQL
• Creating databases, Manipulating data, Protecting databases.
• Lesson 04
• Building and Maintaining a Simple Database Structure
• Using RAD to build, change, and remove a database table, Using SQL to build, change, and remove a database table, Migrating your database to another DBMS.
• Lesson 05
• Building a Multi-table Relational Database
• Deciding what to include in a database, Determining relationships among data items, Linking related tables with keys, Designing for data integrity, Normalizing the database.
• Lesson 06
• Manipulating Database Data
• Dealing with data, Retrieving the data you want from a table, Displaying only selected information from one or more tables, Updating the information in tables and views, Adding a new row to a table, Changing some or all the data in a table row, Deleting a table row.
• Lesson 07
• Handling Temporal Data
• Defining times and periods, Tracking what happened at specific times, Providing an audit trail of changes to the data, Handling both what happened and when the event was recorded, Formatting and parsing dates and times.
• Lesson 08
• Specifying Values
• Using variables to eliminate redundant coding, Extracting frequently required information from a database table field, Combining simple values to form complex expressions.
• Lesson 09
• Using Advanced SQL Value Expressions
• Using the CASE conditional expressions, Converting a data item from one data type to another, Saving data-entry time by using row value expression.
• Lesson 10
• Zeroing In on the Data You Wants
• Specifying the tables that you want to work with, Separating rows of interest from the rest, Building effective WHERE clauses, Handling null values, Building compound expressions with logical connectives, Grouping query output by column, Putting query output in order, Operating on related rows.
• Lesson 11
• Using Relational Operators
• Combining tables with similar structures, Combining tables with different structures, Deriving meaningful data from multiple tables.
• Lesson 12
• Delving Deep with Nested Queries
• Pulling data from multiple tables with a single SQL statement, Comparing a value from one table with a set of values from another table, Using the SELECT statement to compare a value from one table with a single value from another table, Comparing a value from one table with all the corresponding values in another tabl,e Making queries that correlate rows in one table with corresponding rows in another table, Determining which rows to update, delete, or insert by using a subquery.