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Delve into the principles of Oracle SQL with expert-led training at Croma Campus.

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Course Duration

22 Hrs.

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1 Project

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CURRICULUM & PROJECTS

Oracle SQL Database Certification Training

    Module 1: Introduction & Software Installation

    • Overview of Oracle Database
    • Overview of RDBMS Concepts And Terminologies
    • Introduction to SQL and its Development Environments
    • Installing Oracle
    • Installing Java SDK
    • Installing SQL Developer Client

    Module 2: Retrieve Data Using The Sql Select Statement

    • List the Capabilities Of Sql Select Statements
    • Generate a Report Of Data From The Output Of a Basic Select Statement
    • Use Arithmetic Expressions and Null Values In the Select Statement
    • Invoke Column Aliases
    • Concatenation Operator, Literal Character Strings, Alternative Quote Operator, and the Distinct Keyword
    • Display the Table Structure Using the Describe Command

    Module 3: Restricted And Sorted Data

    • Write Queries With a Where Clause to Limit the Output Retrieved
    • Describe the Comparison Operators and Logical Operators
    • Describe the Rules Of Precedence For Comparison and Logical Operators
    • Usage Of Character String Literals In the Where Clause
    • Write Queries With an Order By Clause
    • Sort the Output In Descending and Ascending Order
    • Substitution Variable

    Module 4: Usage Of Single-Row Functions To Customize Output

    • List the Differences Between Single Row and Multiple Row Functions
    • Manipulate Strings Using Character Functions
    • Manipulate Numbers With the ROUND, TRUNC, and MOD Functions
    • Perform Arithmetic With Date Data
    • Manipulate Dates With the DATE Functions

    Module 5: Conversion Functions And Conditional Expressions

    • Describe Implicit and Explicit Data Type Conversion
    • Describe The TO_CHAR, TO_NUMBER, And TO_DATE Conversion Functions
    • Nesting Multiple Functions
    • Apply the NVL, NULLIF, and COALESCE Functions to Data
    • Usage Of Conditional IF THEN ELSE Logic In a SELECT Statement

    Module 6: Aggregated Data Using The Group Functions

    • Usage Of The Aggregation Functions In SELECT Statements To Produce Meaningful Reports
    • Describe the AVG, SUM, MIN, and MAX Function
    • How to Handle Null Values In a Group Function
    • Divide The Data In Groups By Using The GROUP BY Clause
    • Exclude Groups Of Date By Using The HAVING Clause

    Module 7: Display Data From Multiple Tables

    • Write SELECT Statements To Access Data From More Than One Table
    • Join Tables Using SQL:1999 Syntax
    • View Data That Does Not Meet a Join Condition By Using Outer Joins
    • Join A Table To Itself By Using a Self-Join
    • Create Cross Joins

    Module 8: Usage Of Subqueries To Solve Queries

    • Use a Subquery To Solve a Problem
    • Single-Row Subqueries
    • Group Functions In A Subquery
    • Multiple-Row Subqueries
    • Use The ANY and ALL Operator In Multiple-Row Subqueries
    • Use The EXISTS Operator

    Module 9: SET Operators

    • Describe The SET Operators
    • Use A SET Operator To Combine Multiple Queries Into a Single Query
    • Describe The UNION, UNION ALL, INTERSECT, and MINUS Operators
    • Use The ORDER BY Clause In Set Operations

    Module 10: Data Manipulation

    • Add New Rows To a Table
    • Change The Data In a Table
    • Use The DELETE and TRUNCATE Statements
    • How To Save and Discard Changes With The COMMIT and ROLLBACK Statements
    • Implement Read Consistency
    • Describe The FOR UPDATE Clause

    Module 11: DDL Statements To Create And Manage Tables

    • Categorize Database Objects
    • Create Tables
    • Describe The Data Types
    • Understand Constraints
    • Create a Table Using A Subquery
    • How To Alter a Table
    • How To Drop a Table

    Module 12: Other Schema Objects

    • Create, Modify, And Retrieve Data From a View
    • Perform Data Manipulation Language (DML) Operations On a View
    • How to Drop a View
    • Create, Use, and Modify a Sequence
    • Create and Drop Indexes
    • Create and Drop Synonyms
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    Module 1: Manipulating Data

    • Default Values for Columns
    • Virtual Columns
    • Arithmetic Calculations on NULL Values
    • Multi table Insert's
    • Merge the Data

    Module 2: Analytical Functions

    • Analytical Functions Introduction
    • Getting the Cumulative Sum of Sales
    • Displaying Sales as a Percentage of Total Sales
    • Ranking your Data
    • Performing Top N Analysis
    • Dividing your Data into Bands
    • LAG and LEAD Function Examples
    • Analyzing Sales Growth Across Time
    • Analytical Functions Recap

    Module 3: Transforming the Data

    • Row Level Data to Column Level using CASE statement
    • Row Level Data to Column Level using PIVOT
    • Row Level Data to Column Level using LISTAGG
    • Column Level Data to Row Level using UNION
    • Column Level Data to Row Level using UNPIVOT

    Module 4: Hierarchical Queries

    • Hierarchical Queries Introduction
    • Connect By Clause
    • Creating the Hierarchy Tree
    • Sorting the Hierarchy Tree
    • CONNECT_BY_ROOT Unary Operator
    • SYS_CONNECT_BY_PATH Function
    • CONNECT BY for Number Generation

    Module 5: Regular Expressions

    • Regular Expressions Introduction
    • Meta Characters . and +
    • Meta Characters and *
    • Interval Operator to Match the Number of Occurrences
    • Matching the Characters in a List
    • Combine Multiple Expressions Using
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22 Hrs.
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FAQ's

Getting certified in Oracle SQL shows employers you have the skills to manage databases, making you a more appealing candidate in a crowded job market.

Yes, workers in areas like finance, healthcare, and marketing can use Oracle SQL skills to analyze data and make better decisions in their fields.

Yes, Oracle SQL certification is known globally, giving you credibility and more job opportunities in different countries.

Understanding SQL helps you spot weaknesses in how databases are managed, allowing you to put better security measures in place to protect important information.

SQL helps you quickly find and analyze data, so businesses can make informed choices based on up-to-date information and trends.

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