Oracle SQL

You will understand how Oracle processes SQL queries and have a solid foundation in Oracle SQL. As the importance of relational databases grows, so does the demand for RDBMS and SQL programmers. Explore our library to learn more about SQL and its relational database management system (RDBMS).

Trending Course

From 468 Ratings

 4.5/5

Course Fees: Rs.17500 | Discount Fees: Rs.13000

Quick Enquiry

Overview of Oracle SQL Course

The Oracle SQL Online Course in Fast Learning Technologies is designed to help you learn the basics of SQL and how to use Oracle’s SQL*Plus. You will gain a comprehensive introduction to the SQL language, which is the foundation for many database applications. You will learn how to create and modify tables, write queries.

By the end of this course, you will be able to:

Create, modify, and delete tables using SQL
Write SQL queries to retrieve data
Write SQL commands to manipulate data
Utilize stored procedures, functions, and triggers to automate processes
Use the Oracle SQL*Plus console to execute queries and commands
Design and implement a database application
Create and manage database users

This course is suitable for any individual seeking to learn the basics of SQL and how to use Oracle’s SQL*Plus. It is also suitable for individuals who already have a working knowledge of SQL but need to refresh their understanding and increase their proficiency with Oracle’s version of the language.

Training Key Features

Syllabus - Oracle SQL Course

Introduction to Oracle Database

List the features of Oracle Database 11g
Discuss the basic design, theoretical, and physical aspects of a relational database
Categorize the different types of SQL statements
Describe the data set used by the course
Log on to the database using SQL Developer environment

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
Select All Columns
Select Specific Columns
Use Column Heading Defaults
Use Arithmetic Operators
Understand Operator Precedence
Learn the DESCRIBE command to display the table structure

Learn to Restrict and Sort Data

Write queries that contain a WHERE clause to limit the output retrieved
List the comparison operators and logical operators that are used in a WHERE clause
Describe the rules of precedence for comparison and logical operators
Use character string literals in the WHERE clause
Write queries that contain an ORDER BY clause to sort the output of a SELECT statement

Usage of Single-Row Functions to Customize Output

Describe the differences between single row and multiple row functions
Manipulate strings with character function in the SELECT and WHERE clauses
Manipulate numbers with the ROUND, TRUNC, and MOD functions
Perform arithmetic with date data
Manipulate dates with the DATE functions

Invoke Conversion Functions and Conditional Expressions

Describe implicit and explicit data type conversion
Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions
Nest multiple functions
Apply the NVL, NULLIF, and COALESCE functions to data
Use conditional IF THEN ELSE logic in a SELECT statement

Aggregate Data Using the Group Functions

Use the aggregation functions in SELECT statements to produce meaningful reports
Divide the data in groups by using the GROUP BY clause
Exclude groups of date by using the HAVING clause

Display Data From Multiple Tables Using Joins

Write SELECT statements to access data from more than one table
View data that generally does not meet a join condition by using outer joins
Join a table by using a self join

Use Sub-queries to Solve Queries

Describe the types of problem that sub-queries can solve
Define sub-queries
List the types of sub-queries
Write single-row and multiple-row sub-queries

The SET Operators

Describe the SET operators
Use a SET operator to combine multiple queries into a single query
Control the order of rows returned

Data Manipulation Statements

Describe each DML statement
Insert rows into a table
Change rows in a table by the UPDATE statement
Delete rows from a table with the DELETE statement
Save and discard changes with the COMMIT and ROLLBACK statements
Explain read consistency

Use of DDL Statements to Create and Manage Tables

Categorize the main database objects
Review the table structure
List the data types available for columns
Create a simple table
Decipher how constraints can be created at table creation
Describe how schema objects work

Other Schema Objects

Create a simple and complex view
Retrieve data from views
Create, maintain, and use sequences
Create and maintain indexes
Create private and public synonyms

Control User Access

Differentiate system privileges from object privileges
Create Users
Grant System Privileges
Create and Grant Privileges to a Role
Change Your Password
Grant Object Privileges
How to pass on privileges?
Revoke Object Privileges

Management of Schema Objects

Add, Modify and Drop a Column
Add, Drop and Defer a Constraint
How to enable and disable a Constraint?
Create and Remove Indexes
Create a Function-Based Index
Perform Flashback Operations
Create an External Table by Using ORACLE_LOADER and by Using ORACLE_DATAPUMP
Query External Tables

Manage Objects with Data Dictionary Views

Explain the data dictionary
Use the Dictionary Views
USER_OBJECTS and ALL_OBJECTS Views
Table and Column Information
Query the dictionary views for constraint information
Query the dictionary views for view, sequence, index and synonym information
Add a comment to a table
Query the dictionary views for comment information

Manipulate Large Data Sets

Use Subqueries to Manipulate Data
Retrieve Data Using a Subquery as Source
Insert Using a Subquery as a Target
Usage of the WITH CHECK OPTION Keyword on DML Statements
List the types of Multitable INSERT Statements
Use Multitable INSERT Statements
Merge rows in a table
Track Changes in Data over a period of time

Data Management in Different Time Zones

Time Zones
CURRENT_DATE, CURRENT_TIMESTAMP, and LOCALTIMESTAMP
DBTIMEZONE and SESSIONTIMEZONE
Difference between DATE and TIMESTAMP
INTERVAL Data Types
Use EXTRACT, TZ_OFFSET and FROM_TZ
Invoke TO_TIMESTAMP,TO_YMINTERVAL and TO_DSINTERVAL

Retrieve Data Using Sub-queries

Multiple-Column Subqueries
Pairwise and Nonpairwise Comparison
Scalar Subquery Expressions
Solve problems with Correlated Subqueries
Update and Delete Rows Using Correlated Subqueries
The EXISTS and NOT EXISTS operators
Invoke the WITH clause
The Recursive WITH clause

Regular Expression Support

Use the Regular Expressions Functions and Conditions in SQL
Use Meta Characters with Regular Expressions
Perform a Basic Search using the REGEXP_LIKE function
Find patterns using the REGEXP_INSTR function
Extract Substrings using the REGEXP_SUBSTR function
Replace Patterns Using the REGEXP_REPLACE function
Usage of Sub-Expressions with Regular Expression Support

Upcoming Batches

Schedule Your Batch at your convenient time.

Batch	Day	Timing
Weekdays	Monday, Wednesday, Friday	7 to 8.30AM, 9 to 10.30AM, 6 to 7.30PM ,8 to 9.30 PM
Weekend	Saturday	7 to 10 AM, 9 to 12 AM, 2 to 5 PM, 5 to 8 PM

Want to Book Your Seat?

Oracle SQL Course Certification

All major global multinational corporations accept our certification. The candidate has demonstrated knowledge of the front-end and back-end development processes, as well as the database, by earning this certification, which is provided at the conclusion of the course.

You can increase the importance of your profile during interviews and gain access to a wide range of professional opportunities by combining this certificate with your CV.

The certification is only given upon the successful completion of our training and project-based projects with a practical component.

Our Recent Placements

Kalai

Emphasis

RPA Developer

Ranjan

Wipro

Data Science Engineer

Sanjai

TCS

Cloud Engineer

Gowsalya

Philips

Software Engineer

Richa

GPT Technologies

Java Developer

Krishna

Infosys

Python Developer

Naveen Reddy

YG Technologies

Python Fullstack Developer

Testimonial Reviews

Poovizhirajan R

I joined Fast Learning Technologies to learn Java Fullstack course. It was really an amazing experience and gained a lot of technical knowledge. My trainer Karthik sir teaches every concept with real time example which is very easy to understand. He also helps in clarifying doubts on time and he is very friendly. Thank you so much sir for your guidance. I also thank Fast Learning Technologies Team, Bangalore. Best training institute in Bangalore.

Daniel Be

I enrolled for Python fullstack course in Fast Learning Technologies Bangalore. It is such a wonderful place to learn and I gained great knowledge.Karthik sir explained everything on one to one basis very clearly, with extra time if I had doubt This gave me very good self-confidence. Thanks to Fast Learning Technologies Bangalore

Jai Sankar

I completed my full stack web development training here. The whole experience was extremely wonderful and knowledgeable. Training is completely hands on. You learn to code and work on projects. Sonu sir is one of the best trainer I studied from. The assignment given are really help to check what you learned. I got placed while training itself with a really good package. Overall I recommend Fast Learning Technologies for training and career development.

Prabakaran D

First of all I would like to thank FAST LEARNING TECHNOLOGIES team for their continuous support throughout out my learning. I did PYHON FULL STACK training and the instructor is excellent. He knew in and out of the concepts. The way he explains the concepts is very cool and he will make sure that all concepts are clear to the students. I will look forward for more courses.

Anbu Arasu

It's been an amazing experience with Fast Learning Technologies. My Trainer is Mr.Karthik, he is so friendly and trained us with more effort. I’m not from csc or IT background but the way she thought us made me to learn the course easily. Thank you My training institute Fast Learning Technologies Bangalore.

Sathish Kumar

Fast Learning Technologies is best Python Training in Bangalore .I attended python training in Fast Learning Technologies. Training class and all session was very well and acceptable. Trainer Clear my all queries and doubts very politely. Thanks to Fast Learning Technologies Bangalore.

Santhosh Nisha

AWS Training was excellent with good interaction. Knowledge sharing is good. Course was practical and informative. Staffs were enthusiastic and really aware of what they were explaining. The course helped to build confidence, Valuable experiences and learning. Overall very informative training sessions. Course content got well covered and also demonstrated the concept very well. Thanks for such an informative and concept-clearing training sessions .Thanks to Fast learning Technologies.

Frequently Asked Questions

Who are the Trainers?

Fast Learning Technologies instructors are all industry practitioners with at least 9-12 years of relevant IT experience. They are subject matter experts, who have been trained by Fast Learning Technologies to deliver an extraordinary learning experience.

What if I miss one (or) more class?

Not to worry. Fast Learning Technologies ensure that no single lecture topic is missed. With all such options, we will reschedule the classes at your convenience within the course duration. If necessary, you can attend that topic with any other batch.

Is this course available Online or offline?

All courses are available in both Online and offline mode.

How much is the fee for course?

It is mentioned on the course pages. Discount prices are only available for a limited time.

How long is the duration of the course?

Course duration for Training courses are 30 – 45 Hrs.
Course duration for Master courses are 90 – 135 Hrs.

For any queries?

For any queries please contact us +91 7418595544