SQL Analytics

Best SQL Analytics Training @ Innozant

Innozant offer unparelelled job oriented SQL Analytics training.During your training, we will familiarize you with SQL Analytics,manipulate and analyze data and to make a meaningful report.

Innozant has been providing SQL Analytics course since long time and is one of the best computer training institute in Delhi- NCR for SQL Analytics Training, Innozant offers facility of Computer training at New Ashok Nagar Delhi. Learning SQL is useful for beginners and working professionals who want to learn MIS Data Analysis Reporting and data Analysis, this is a short term job and quality oriented practical training, We focus on skill building approach and try to enhance students skills at par excellence.

SQL Analytics

SQL Analytics Training

Target Audience
Fresher and working professional want to enhance their analytical and reporting skills.We enhance skills of students/ Working professional with SQL.

Course Highlight

Basic Level Training
We offer basic level quality course where student learn and familiar with Basic use of SQL , how to use SQL to perform Basic Data Manipulation by Certified and experienced trainers.
Advance Level Training
We offer advance level quality course where student can learn how to do advanced data analysis using SQL & solving analytical problems Advance SQL.Innozant certified course which helps you to get skilled job with reputation in professional life.

Advantage Innozant
-: Training Satisfaction Guaranteed
-: Applied and Conceptual learning Process
-: No Limit on Practice sessions
-: Focus on practical oriented approach
-: Competent Fees
-: Guaranteed delivery of said content
-: Experienced and renowned Trainer
-: Individual attention
-: Career counseling

Course Highlights

SQL is Structured Query Language, It is used to communicate with database for storing, manipulating and retrieving data stored in a relational database.Relational databases like MySQL Database, Oracle, Ms SQL server, Sybase, etc uses SQL. SQL syntaxes used in these databases are almost similar, except the fact that some are using few different syntaxes and even proprietary SQL syntaxes.

Training Duration Regular : 60 Hrs With Highly Skilled Corporate Trainers for 2 Months
Training Duration Fast Track : 60 Hrs With Highly Skilled Corporate Trainers for 1 Month
INTRODUCTION TO DATABASE AND SQL
• Features of database
• 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
• List the comparison operators and logical operators
• 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
• Sort output in descending and ascending order
USES OF SINGLE ROW FUNCTIONS TO CUSTOMIZE OUTPUT
• Describe the diff. between single row and multiple row functions
• Manipulate strings with character function
• 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, 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 GROUP FUNCTIONS
• Use the aggregation functions to produce meaningful reports
• Divide the retrieved data in groups by using the GROUP BY clause
• Exclude groups of data 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
• Join a table to itself 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
• Explain read consistency
USE THE DDL STATEMENTS TO CREATE AND MANAGE THE TABLES
• Categorize the main database objects
• Review the table structure
• List the data types available for columns
• Create a simple table
• Describe 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 USE 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
• 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
• 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
• Compare Date and Time in a Session's Time Zone
• 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 Non-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
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
• Implement the REGEXP_COUNT function
REAL TIME PROJECT IMPLEMENTATION