SQL Programming for Data Analysis and Software Development

What will you learn in this SQL Tutorial?
•Introduction to SQl and its Applications
•Introduction to RDBMS and Tables
•Installing MySql , MSSQL etc.
•Creating a Database
•Creating a Table and Inserting Data
Writing Queries for
• Select, Select Distinct
•Where Clause
•And, Or & Not
•Order By Clause
•Insert Into Statement
•Null Values
•Update Records in Table
•Delete Records from Table
•Select Top Statement
•Min and Max Aggregate Functions
•Count, Avg, Sum  Aggregate Functions
•Like Operator with Where Clause
•Wildcards in SQL for Pattern matching
•Use of IN Keyword in where and having clause
•Between Keyword in where clause
•Aliases for renaming columns
•Joins – Joining two or more tables to fetch data
•Inner Join
•Left Join
•Right Join
•Full Join
•Self Join
•Union and Union All for Joining two tables
•Group By Statement for One and More Tables
•Having Clause
•Use Exists Keyword
•Use of Any and All Operators in SQL
•Select Into Statement
•Insert Into Select Statement
•Functions in MySQL and MSSQL
•Datatypes in MySQL and MSSQL
•Case Function
•Null Functions
•What are Stored Procedures and how to use them
•How to write Comments in SQL
•Create, Drop and Backup DB
•Create, Drop and Alter Table
•Null and Not Null Constraints
•SQL Unique Constraints
•Creating SQL Primary Key and PK Constraints
•SQL Foreign Key Constraints
•SQL Default Constraints
•Creating SQL Index
•Using SQL Auto Increment
•Working with Dates in SQL
•Creating SQL Views
•SQL Injection
•Connecting MySQL Databases with Python Pandas
•Using MySQL workbench for accessing MySQL databases , creating tables , inserting , updating, selecting and deleting records.
•Using SQL Server Management Studio for accessing MSSQL databases , creating tables , inserting , updating, selecting and deleting records.
•Graphical Visualization of Data in Phpmyadmin (mysql) and Python Pandas Module (Basic Graphs).
•Web Hosting of MySql and MSSQl Databases