SQL Analytics - Innozant MIS & Data Analytics

Administrator Expert

Description

Boost your resume by learning an in-demand skill.

SQL that will get you hired – SQL for Business Analysis, Marketing, and Database Management. No prior technical experience is required! This course teaches SQL from the very basics

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.

What you will learn:

  • Become an expert in SQL & Learn how to code in SQL
  • Create, design, and operate with SQL databases
  • Study relational database management theory that you will need in your workplace every day
  • The ability to take control of your dataset – insert, update, and delete records from your database
  • Handle complex SQL joins with ease
  • Approach more advanced topics in programming like SQL’s triggers, sequences, local and global variables, indexes, and more
  • Become a proficient SQL user by writing flawless and efficient queries

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Topics for this course

113 Lessons44h 59m 59s

Training Duration Regular: 2.5 Months

INTRODUCTION TO DATABASE AND SQL?

INTRODUCTION TO DATABASE AND SQL
  • Features of database
  • Log on to the database using SQL Developer environment

RETRIEVE DATA USING THE SQL SELECT STATEMENT?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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
  • Decipher how constraints can be created at table creation
  • Describe how schema objects work

OTHER SCHEMA OBJECTS?

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?

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?

MANAGEMENT OF SCHEMA OBJECTS
    A
  • dd, 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?

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?

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?

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?

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?

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
5,999.00
  • Course level: Expert
  • Duration 44h 59m 59s