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

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  • The Oracle SQL Course is important for anyone who wants to work with databases in todays world, where data is everywhere. SQL, or Structured Query Language, is the main language used to work with databases. By taking this course, you will learn how to create, manage, and manipulate databases effectively.
  • This knowledge is vital for jobs in data analysis, software development, and IT. As the need for data professionals grows, having Oracle SQL skills can improve your job opportunities and career advancement, making you a valuable asset to any company.
  • What You Will Learn:
    • Database Basics

      SQL Queries

      Data Manipulation

      Table Creation

      Data Retrieval

      Joins Understanding

      Data Filtering

      Aggregate Functions

      Indexing Techniques

      Performance Optimization

  • Personal Skills Development:
  • Joining the Oracle SQL Course also helps you develop:
    • Analytical Thinking: You will learn how to look at data and make smart decisions based on what you find.

      Problem-Solving: The course teaches you how to spot problems in data and figure out how to fix them.

      Attention to Detail: Working with SQL helps you become more focused on small details, which is important for managing data accurately.

      Time Management: You will get better at using your time wisely while working on database tasks to finish projects on time.

      Communication Skills: You will learn how to explain technical ideas to people who dont have a tech background, making it easier to work in a team.

      Collaboration: You will work with others on projects, helping you improve your teamwork skills and share ideas.

      Adaptability: Learning SQL will make you more open to trying new tools and methods in data management.

      Self-Confidence: Mastering SQL will boost your confidence, making you more willing to take on new challenges at work.

      Critical Thinking: You will learn to evaluate data and make logical choices, which is important for good decision-making.

      Technical Proficiency: You will get more comfortable using database software, improving your overall tech skills, which are useful in many jobs.

  • Prerequisites:
  • Before joining the Oracle SQL Course, its good to have a few basic skills to help you learn better. While you dont need prior experience with databases, knowing some computer programming concepts can be useful. Understanding data structures and how databases work will make learning SQL easier.
  • Who Should Attend:
    • Aspiring Analysts

      Data Professionals

      IT Students

      Software Developers

      Business Analysts

      Database Administrators

      Project Managers

      Technical Writers

      Data Scientists

      Career Changers

Oracle SQL Database Certification Training

About-Us-Course

  • The goal of the Oracle SQL Database Certification Training is to help learners gain the skills needed to manage and work with databases effectively. Participants will learn how to write SQL queries, create and manage database structures, and analyze data. The training focuses on building a strong understanding of database concepts, allowing learners to work confidently with Oracle databases.

  • Freshers in the tech industry can expect to earn between 3,00,000 and 6,00,000 per year, depending on their skills and job type. In areas like data analysis and software development, starting salaries can go up to 8,00,000. For jobs in other fields, like marketing or finance, starting pay usually ranges from 3,00,000 to 5,00,000. Overall, freshers have many job opportunities with good starting salaries in different industries.

  • Completing Oracle SQL Database Certification Training can open up many job opportunities for you. With this certification, you can apply for roles like database administrator, data analyst, or software developer. Many employers appreciate this certification, which can lead to better job chances and higher pay.

  • Oracle SQL Database Certification Training is important today because many companies depend on data to make decisions. This training teaches you the skills needed to manage and analyze data effectively, which are needed in many jobs. As more businesses use databases, having this certification helps you stand out when applying for jobs and improves your chances of getting hired.

  • Key Roles and Responsibilities
    • Data Management

      Query Writing

      Database Design

      Performance Tuning

      Data Analysis

      Troubleshooting Issues

      Security Management

      Backup Solutions

      User Access Control

      Report Generation

  • The top industries hiring Oracle SQL professionals include information technology, finance, healthcare, and telecommunications. In the IT field, companies need people to manage databases and analyze data. The finance industry relies on accurate data for reporting and making decisions. Healthcare organizations use SQL to manage patient information and analyze research data. Telecommunications companies also look for SQL experts to handle large amounts of data.

  • Upon completing the Oracle SQL Database Certification Training, you will earn a widely recognized certificate. Certification is a great way to demonstrate your expertise and gain an advantage over those who are not certified.

Why should you get started with the Oracle SQL Database Certification Training?

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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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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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  • - Get Tips from Trainer to Clear Interviews
  • - Attend Mock-Up Interviews with Experts
  • - Get Interviews & Get Hired
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