SQL Training institute in Nerul
Advanced Certification

Advanced Certification Course in SQL

Ready to build a solid foundation in SQL? Also, step towards your future and enroll in our Advanced SQL Course in Nerul, Navi Mumbai. Develop moxie through applied systems and customer collaborations. Boost your readiness with our help!!

Advanced Certification Course in SQL
  • OVERVIEW
  • CURRICULAM
  • WHY YUHASPRO ?
  • CERTIFICATION
  • JOB OPPORTUNITES

SQL, also known as the Structured Query Language, is the backbone of ultramodern database systems. SQL has a wide range of uses, from Database Management to Business Intelligence.

YuHasPro IT is the Best SQL institute in Nerul, Navi Mumbai offering a full-fledged course and placement backing to scholars. Folks, what are you staying for? A payment package of 2L- 9L(Source: ambitionbox) is staying for you so join us and elevate your career to new heights!!

Who Can Take this Course?
  • Any freshman is interested in technology, data, and programming places indeed if they don't have any previous experience
  • Any College pupil who wishes to upgrade their chops and develop systems.
  • Data judges who are looking to upgrade their chops in rooting, assaying, and managing data.
  • Database leaders overseeing management and maintenance
Pre-requisites:
  • No previous knowledge of Queries.
  • No previous experience in Database Management.
  • Understanding of simple computation and introductory fine operations.
Program Highlight
  • The expansive course structure covers SQL Fundamentals from basics to advanced motifs, including the generalities of Data drawing to Data Manipulation.
  • Data-driven receptivity for Business Analysis and presenting it on a dashboard.
  • Real-world case studies for querying and assaying data for culmination systems.
  • Master working with Database Management Systems.
  • Get a MySQL Certification from an honored assiduity upon completing the course.

  • List the features of Oracle Database 12c
  • 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 Save
  • Queries to files and use script files in SQL Developer

  • 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
  • Learn the DESCRIBE command to display the table structure
  • Understand Operator Precedence

  • 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
  • Sort output in descending and ascending order

  • 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

  • Use the aggregation functions in SELECT statements to produce meaningful reports
  • Divide the data into groups by using the GROUP BY clause
  • Divide the data into groups by using the GROUP BY clause

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

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

  • 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

  • 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

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

  • 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

  • Query External Tables

  • 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

  • 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 Multi-table INSERT Statements
  • Use Multi-table INSERT Statements
  • Merge rows in a table
  • Track Changes in Data over a period of time

  • 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

  • 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 Multi-table INSERT Statements
  • Use Multi-table INSERT Statements
  • Merge rows in a table
  • Track Changes in Data over a period of time

  • Multiple-Column Subqueries
  • airwise and No pairwise 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

  • 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
  • Implement the REGEXP_COUNT function

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Our Certification
  • YuHasPro Certification
**@Extra Cost Certification Options Available
  • JAIN UNIVERSITY
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Career Opportunity After Completing SQL Course
  • SQL Developer
  • Database Administrator
  • Data Analyst
  • Data Scientist
  • SQL Server Developer
  • Database Developer
  • Business Intelligence Analyst
  • Data Engineer
  • Database Consultant
  • Backend Developer
  • Data Architect
  • Report Developer
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