Oracle SQL for Data Analysis: Beginner to Advance
Course Fee: 7,000.00 Course Duration: 1 Month

 

Introduction:
Gain the knowledge and skills needed to land an entry-level job in Data Analytics. Learn how to use ORACLE SQL for Data Analysis. No prior programming knowledge is required in any language. It is learn-by-doing hands-on course, so except Diploma or UG level education in any branch there is no other requirement
Course Details

1.    Introduction:

·         Introduction

·         RDBMS Concept

·         Oracle Platform Setup

·         What is SQL

·         Basic SELECT Statements

2.    SQL Logical Operator:

·         AND Operator

·         OR Operator

·         Using AND & OR together

3.    SQL Operator IN and BETWEEN

 

·         SQL IN operator

·         SQL BETWEEN operator

 

4.    Handling of NULL values

  • SQL clause IS NULL and IS NOT NULL
  • SQL built in function NVL
  • SQL built in function NVL2
  • SQL built in function COALESCE
  • Use of Basic Operators
5.    Subquery/ Nested Query

  • Basic Sub-Query Technique
  • Multi-valued Subqueries
  • Subquery Returning NULL
  • Set Comparison Subqueries
  • Correlated Subqueries
  • Subquery Operator EXISTS
  • ANY/ALL Operators

 

6.    SQL Join Operator

 

  • SQL Inner Join Operation
  • SQL Non-Equi Join Operation
  • SELF JOIN operation
  • OUTER JOIN operation

·         OUTER JOIN clause

7.    SQL standardized build-in Group Function

  • SQL Group Function Concepts
  • SQL Group Function Queries
  • SQL Group Function Tricky Queries
  • ROLLUP & CUBE – SQL Group Function Analytical Extension

·         Oracle SQL General built in Functions

 

8.    Transaction And DML

  • SQL Transactions Concepts
  • SQL DML Statements
  • SQL Transaction and Isolation
  • Concept of Consistency and Consistent Read in Database Transaction
  • SQL Transaction Control Language
  • SQL DELETE vs TRUNCATE vs DROP

 

9.    DDL Creating and Altering the tables

  • SQL Create table Statement
  • Borrow Structure and Data from Existing Table
  • SQL Alter Table operation

·         Data Integrity Constraints

  • Data Integrity Concepts
  • SQL Create and Alter Constraints
  • Foreign Key Constraint and Referential Integrity

 

10.Analytical Functions

·         DECODE vs CASE

·         RANK() vs DENSE_RANK()

     11. Interview Preparation

  • Some most important queries
  • What is a VIEW?
  • SQL vs NOSQL
  • SUM over multiple table

 

Work on live examples

 

Course Coordinator: Md. Shakhawat Hossain

Cell: 01717539855