www.sqlschool.com
Python Developer Course Complete Practical & Real-time Training
Training Highlights
Job Support
Complete Practical
Real-Time Scenarios
Resume Preparation
Lab Access
Placement Support
Support Certification
Interview Preparation
Material, Practice Labs
100% Placement Assistance
Trainer: Mr. Sekhar is a Database Developer and Consultant, Microsoft Certified Trainer with more than 14 years of expertise on SQL Server, Business Intelligence (MSBI) and .NET. He delivers various Corporate Trainings to many MNCs including Infosys, MindTree, ADP, Infotech, PrimeHealth. Trainer Profile @ http://sqlschool.com/downloads/profiles/Sekhar-Trainer-Profile.pdf
Our latest Invoices & Purchase Orders available @ http://www.sqlschool.com/clients
For Free Demo: Call us on INDIA: +91 9666 44 0801, USA: +1 510 400 4845
To speak to Trainer: you can visit our SR Nagar office any day at 1 PM or at 8 PM. Free Career Guidance and Trainer sync-up classes every Saturday at 11 AM.
Revision, Mock Interviews, Interview & Resume Classes Every Saturday
www.sqlschool.com
Python Developer Training Plans
Plan A Plan B
Course Duration
Completely Practical
Mock Interviews
Real Time Project
Python Developer
Advanced Python X
Database Basics X
Joins, Sub Queries X
PL SQL Training X
Course Fee INR 8,000/-
USD 120
INR 12,000/-
USD 200
** Resume Preperation, Mock Interviews are included in every plan. ** Chapter wise Mock Interviews are included in every plan.
Module 1: Core Python
CHAPTER 1 : INTRODUCTION TO SCRIPT
What is Script?
What is a program?
Types of Scripts
Difference between Script & Programming
Languages
Features of Scripting
Limitation of Scripting
Types of programming Language Paradigms
Basic understanding of Python
Python and Other programming languages
CHAPTER 9 : Python LOOPS
How to use “While Loop”
How to use “For Loop”
How to use For Loop for set of other things
besides numbers
Break statements in For Loop
Continue statement in For Loop
Enumerate function for For Loop
Practical Example
How to use for loop to repeat the same
statement over and again
Break, continue statements
www.sqlschool.com
CHAPTER 2 : INTRODUCTION TO PYTHON
What is Python And Why Python?
Who Uses Python?
Characteristics of Python
History of Python
What is PSF?
Python Versions
How to Download & Install Python
Install Python with Diff IDEs
Features and Limitations of Python
Python Applications
Creating Your First Python Program
Printing to the Screen
Reading Keyboard Input
Using Command Prompt and GUI or IDE Python
Python first program Compilers VS interpreters
CHAPTER 10 : Learning Python Strings
Accessing Values in Strings
Various String Operators
Some more examples
Python String replace() Method
Changing upper and lower case strings
Using “join” function for the string
Reversing String
Split Strings
CHAPTER 11 : Sequence or Collections in Python
Strings and Unicode Strings
Lists and Tuples
Buffers and Xrange
CHAPTER 4 : PYTHON NEW IDEs
PyCharm IDE
How to Work on PyCharm
PyCharm Components
Debugging process in PyCharm
PYTHON Install Anaconda
What is Anaconda & Coding Environments?
Spyder Components and Features
Spyder Shortcut Keys
Jupyter Notebook
What is Conda and Conda List?
Jupyter and Kernels
What is PIP?
CHAPTER 12 : Python Lists
Lists are mutable
Getting to Lists
List indices
Traversing a list
List operations
List slices
List methods
Map, filter and reduce
Deleting elements
Lists and strings
CHAPTER 5 : Variables in Python
What is Variable?
Variables in Python
Constants in Python
Variable and Value
Variable names
Mnemonic Variable Names
Values and Types
What Does “Type” Mean?
Multiple Assignment
Python different numerical types
Standard Data Types
CHAPTER 13 : Python TUPLE
Advantages of Tuple over List
Packing and Unpacking
Comparing tuples
Creating nested tuple
Using tuples as keys in dictionaries
Deleting Tuples & Slicing of Tuple
Tuple Membership Test
Built-in functions with Tuple
Dotted Charts
www.sqlschool.com
Operators and Operands
Order of Operations
Swap variables
Python Mathematics
Type Conversion
Mutable Versus Immutable Objects
CHAPTER 14 : Python Sets
How to create a set?
Iteration Over Sets
Python Set Methods
Python Set Operations
Union of sets
Built-in Functions with Set
Python Frozen set
CHAPTER 6 : String Handling
What is string?
String operations
String indices
Basic String Operations
String Functions, Methods
Delete a string
String Multiplication and concatenation
Python Keywords
Python Identifiers
Python Literals
String Formatting Operator
Structuring with indentation in Python
Built-in String Methods
Define Data Structure?
Data Structures in PYTHON
CHAPTER 15 : Python Dictionary
How to create a dictionary?
PYTHON HASHING?
Python Dictionary Methods
Copying dictionary
Updating Dictionary
Delete Keys from the dictionary
Dictionary items() Method
Sorting the Dictionary
Python Dictionary in-built Functions
Dictionary len() Method
Variable Types
Python List cmp() Method
Dictionary Str(dict)
CHAPTER 7: Python Operators and Operands
Arithmetic Operators & Relational Operators
Comparison Operators
Python Assignment Operators
Short hand Assignment Operators
Logical Operators or Bitwise Operators
Membership Operators
Identity Operators & Operator precedence
Evaluating Expressions
CHAPTER 8 : Python Conditional Statements
How to use “if condition”
if statement (One-Way Decisions)
if .. else statement (Two-way Decisions)
How to use “else condition”
if .. elif .. else statement (Multi-way)
CHAPTER 16 : Python Functions
What is a function?
How to define and call a function in Python
Types of Functions
Significance of Indentation (Space) in
Python
How Function Return Value?
Types of Arguments in Functions
Default Arguments
Non-Default Arguments
Keyword Arguments
Non-keyword Arguments
Arbitrary Arguments
Rules to define a function in Python
Various Forms of Function Arguments
Scope and Lifetime of variables
Nested Functions
www.sqlschool.com
When “else condition” does not work
How to use “elif” condition and nested if.
Call By Value, Call by Reference
Anonymous Functions/Lambda functions
Module II: Advance Python
CHAPTER 17 : Python Modules
What is a Module?
Types of Modules
The import Statement
The from…import Statement
..import * Statement
Underscores in Python
The dir( ) Function
Creating User defined Modules
Command line Arguments
Python Module Search Path
CHAPTER 27 : Python-Data Base Communication
What is Database? Types of Databases?
What is DBMS and What is RDBMS?
What is Big Data? Types of data?
Oracle and MySQL
SQL server, DB2 and Postgre SQL
Executing the Queries
Bind Variables
Installing of Oracle Python Modules
Executing DML Operations..!!
CHAPTER 18 : Packages in Python
What is a Package?
Introduction to Packages?
Importing module from a package
Creating a Package and sub package
Importing from Sub-Packages
Popular Python Packages
CHAPTER 28 : Multi-Threading
What is Multi-Threading
Threading Module
Defining a Thread
Thread Synchronization
CHAPTER 19 : Python Date and Time
How to Use Date & Datetime Class
How to Format Time Output
How to use Time delta Objects
Calendar in Python
Datetime classes in Python
How to Format Time Output?
The Time Module and Calendar Module
Python Text Calendar & HTML Calendar Class
Unix Date and Time Commands
CHAPTER 30 : Web Scrapping
The components of a web page
Beautiful Soup
Urllib2
HTML, CSS, JS, jQuery
Data frames
PIP
Installing External Modules Using PIP
CHAPTER 20 : File Handling
What is a data, Information File?
File Objects and File Different Modes
file Object Attributes
How to create a Text File and Append Data
CHAPTER 31 : Unit Testing with PyUnit
What is Testing?
Types of Testings and Methods?
What is Unit Testing?
What is PyUnit?
www.sqlschool.com
How to Read a File and Closing a file
Read, read line ,read lines, write, write lines…!!
Renaming and Deleting Files
Directories in Python
Working with CSV files
Handling IO Exceptions
Test scenarios, Test Cases, Test suites
CHAPTER 21 : Python OS Module
Shell Script Commands
Various OS operations in Python
Python File System Shell Methods
Different Python Modules
Os, Math, cmd, csv, random
NumPY ( numerical python )
Pandas, Sys, MatPlotLib, Datetime, Time
CHAPTER 32 : Introduction to Python Web Frameworks
Django – Design
Advantages of Django
Installing Django & Designing Web Pages
HTML5, CSS3, Angular JS
PYTHON Flask & PYTHON Bottle
PYTHON Pyramid & PYTHON Falcon
CHAPTER 22 : Python Exception Handling
Common Run Time Errors in PYTHON
Abnormal termination
Chain of importance Of Exception
Exception Handling functions
Argument of an Exception
Python Custom Exceptions
Ignore Errors & Assertions
Using Assertions Effectively
CHAPTER 33 : GUI Programming-Tkinter
Introduction
Components and Events
Adding Controls
Entry Widget, Text Widget, Radio Button,
Check Button
List Boxes, Menus, Combo Box
CHAPTER 23 : More Advanced PYTHON
Python Iterators and Python Generators
Python Closures and Python Decorators
Python @property
CHAPTER 34 : Data Analytics
Introduction to data Big Data?
Introduction to NumPY and SciPY
Introduction to Pandas and MatPlotLib
CHAPTER 24 : Python Class and Objects
Introduction to OOPs Programming
Object Oriented Programming System
Creating Objects, Class and Instance Variables
Basic concept of Object and Classes
Access Modifiers
How to define Python classes
Python Namespace
Self-variable in python
Garbage Collection
What is Inheritance? Types of Inheritance?
How Inheritance works?
CHAPTER 35 : Introduction to Machine Learning with PYTHON
What is Machine learning?
Machine Learning Methods
Predictive Models
Descriptive Models
Steps used in Machine Learning?
What is Deep Learning?
CHAPTER 36 : Data Science
What is Data Science?
Data Science Life Cycle?
www.sqlschool.com
Python Multiple Inheritance
Overloading and Over Riding
Polymorphism, Abstraction, Encapsulation
Built-In Class Attributes
What is Data Analysis
What is Data Mining
Analytics vs Data Science
CHAPTER 25 : Python Regular Expressions
What is Regular Expression and Syntax?
Understanding Regular Expressions and Pattern
Literal characters & Repetition Cases
Example of w+ and ^ Expression
Example of \s expression in re.split function
Using regular expression methods
Using re.match()
Finding Pattern in Text (re.search())
Using re.findall for text
Python Flags & Methods of Regular Expressions
CHAPTER 37 : Internet of Things
IMPACT OF THE INTERNET
What is IOT
History of IoT
What is Network?
What is Protocol?
What is smart?
How IoT Works?
The Future of IoT
CHAPTER 26 : Python XML Parser
What is XML?
Difference between XML and HTML
Difference between XML and JSON and Gson
How to Parse XML and How to Create XML Node
Python vs JAVA and XML and HTML
Real-Time Project
Explanation
Oracle SQL & PL SQL Course Content
CHAPTER 1 : INTRODUCTION TO DBMS
What is Data and Information?
Purpose of Data Management
File and File System For Data Storage
Disadvantages of File Data Management
Database : Purpose, Basic Terminology
Advantages of Database for Data Storage
Possible Operations on the Database
Database Models – Hierarchical Model
Network Model and Relational Model
Introduction to DBMS and RDMS
Database Design
Real-time Database Examples (LIVE)
CHAPTER 9 : CONSTRAINTS & KEYS – Level I
Importance of Data Integrity
Working with Integrity constraints
Types of Integrity Constraints
Domain Integrity Constraint and Usage
Entity Integrity Constraints and Usage
Referential Integrity Constraint and Usage
Check Constraints and Usage
NOT NULL Constraint, UNIQUE Constraint
PRIMARY KEY Constraint and Usage
FOREIGN KEY Constraints and Relations
www.sqlschool.com
CHAPTER 2: ORACLE INSTALLATION
Oracle 2018 Installation Guidance
Oracle 2012 Installation
Installation Pre-Requisites and Precautions
Oracle Sql Developer
Oracle Sql Command prompt
Oracle Versions and Editions Comparisons
Connect Sql Developer Tool
Creating a new User and Grant permission
Lock and Unlock User Account
Reset User Account Password
SQL* Plus
How to Establish the Oracle Connection
Default System, Sysdba user in Oracle
CHAPTER 10 : CONSTRAINTS & KEYS (Level II)
Multiple Constraints on Columns
Adding Constraints to Tables
Enabling - Dropping Constraints
Disabling Constraints on Tables
Querying for Constraints Information
Data Validations using Constraints
Constraints Limitations and Usage
System Table – User Constraints
Column Level Constraints
Table level Constraints
Self Referential Key Constraints
CHAPTER 3: INTRODUCTION TO RDBMS
Features and Advantages of RDBMS
E.F Codd Rules for RDBMS
Normalization Concepts & Process
Client Server Communication
Oracle Corporation Products
RDBMS from Other Vendors
Oracle Versions about SQL & SQL*PLUS
Database Types: OLTP & OLAP Databases
Real-world Advantage of OLTP & OLAP
Database Entities and Attributes
Applicative use of RDBMS Databases
CHAPTER 11 : QUERIES & JOINS
Need for Joins and Table Comparisons
SET Operations on Tables and Joins
Join Types : Equi Join, Simple Join
Inner Join and Query Conditions
Cross Join (Cartesian Join), Conditions
Non-Equi Join and Self Join
Outer Joins – Types, Advantages and Usage
Cross Joins – Advantages and Limitations
Self Joins, Merge Joins and Sub Queries
Using Aliases in Joins and Conditions
Using Inner Self Joins with HAVING
JOINS and GROUP BY Queries
CHAPTER 4 : SQL LANGUAGE COMMANDS
Structured Query Language (SQL) Basics
What is SQL?
What Can SQL do?
Possible Operations with SQL
Data Definition Language (DDL)
Data Retrieval Language (DRL)
Data Manipulation Language (DML)
Transaction Control Language (TCL)
Database Security and Privileges (DCL)
Rules of SQL Queries and Statements
Real-world applicative uses of SQL
CHAPTER 12 : SUB QUERIES, NESTED QUERIES
Sub Queries in Real-world
Dynamic Conditions with Sub Queries
Sub Queries and Nested Sub Queries
How does oracle Execute Nested Sub
Queries?
Inner Select and Outer Select Queries
Usage of Sub Queries with WHERE, HAVING
Impact of Having Clause in Sub Queries
Select Nth Highest salary
Select and Delete Duplicate Records
Advantages of Oracle Sub Query
Sub query in the Select Clause Examples
www.sqlschool.com
Sub query in the From Clause Examples
CHAPTER 5: SQL BASICS
Creating Users and Tables
Table Data Inserts and Validations
Oracle Data Types
DDL Commands with Examples
CREATE, ALTER, TRUNCATE,DROP,RENAME
Learn the DESCRIBE command to display
the table structure
DML Command DRL Commands Operators
INSERT, UPDATE, DELETE Statements
Difference between Truncate and Delete
commands
SELECT Statements with Multiplier
SQL Comments
Single Line Comments & Multi Line
Comments
WHERE Keyword for Query Conditions
CHAPTER 13 : SUB QUERIES, CORRELATED QUERIES
Display Odd Rows in a table
Display Even Rows in a table
Execution of Correlated Sub Queries in SQL
IN, ANY SOME, ALL Operators in Sub
Queries
PAIR WISE and NON PAIR WISE in Sub
Queries
Single Row Sub query
Multiple Row Sub query
Multiple Column Sub query
Uncorrelated Sub query
Difference between Correlated and Non-
Correlated Sub query
How does Oracle Execute Correlated Sub
query?
NULLs and Correlated Sub Queries in SQL
Data Retrieval with EXISTS, NOT EXISTS
CHAPTER 6.SQL SPECIAL OPERATORS
SET, AND, OR, NOT, IN
Special Operators – IN (NOT IN)
BETWEEN (NOT BETWEEN),
Arithmetic and Logical Operators
Understand Operator Precedence
UNION, UNION ALL, INTERSECT, MINUS
LIKE (NOT LIKE), IS NULL (IS NOT NULL)
Understanding DCL and TCL Commands
Transaction Concepts in Databases with
SQL
Transaction Types and Uses
Commit and Rollback Operations
Nested Transactions with Save points
Database Read Consistency with SQL
DDL and DML Operations with Transactions
CHAPTER 14 : VIEWS, SYNONYMS,SEQUENCES
VIEWS IN ORACLE, Understanding Views
Relational Views and Standard Views
SIMPLE VIEWS & COMPLEX VIEWS in PLSQL
Column Definitions in VIEWS
Using VIEWS for DML Operations
Forced Views, CHECK Constraints in Views
Creation of READ ONLY VIEWS - Real time
TOP-N Analysis, (Indexed) Materialized
Views
Sequences, Working with Synonyms
What is the Use of Synonym in Oracle?
Difference b/w View & Synonym in Oracle
When should Table Synonyms be used?
Types of Synonym
Public Synonym and Private Synonyms
All_Synonyms, Dba_Synonyms, System Tables
Creating Index Tables – Purpose
CHAPTER 7: GROUPING QUERY RESULTS
Identify Distinct Values in Tables
CHAPTER 15 : PERFORMANCE (QUERY) TUNING
www.sqlschool.com
Group Function or Aggregate function
Group By Syntax
Group By Operations in Queries
Having Clause of DRL Statements
Aggregate Functions with Group By
Order By Clause and Group By
SQL Group By Statement
Query Execution Order with Group By
Indexes - Definition and Architecture
B Tree Concept in Indexes
Clustered and Non clustered Indexes
Primary Key and Clustered Index
Unique Key and Non Clustered Indexes
Simple Index
Materialized Views - Indexed Views
Composite Index and Function Based Index
User_indexes System Table
Rebuild Index
Partitioning Tables using PL/SQL
Working with Very Large Tables
Range Partitions and Hash Partition
Partition “VALUES LESS THAN “ Clause
List Partition and Composite Partition
Parallel Query Process with Partitions
Performance Tuning Advantages
CHAPTER 8 : BUILT-IN FUNCTIONS in SQL
Arithmetic Functions
Character Functions
Date & Time Functions
Character, String Functions
Conversion Functions
General Functions
OLAP Functions
Rank(), Dense_Rank(),Row_Number()
NVL(),NVL2(), NullIF(),Coalesce()
Other Functions Use the TO_CHAR,
TO_NUMBER, and TO_DATE conversion
functions
Nest multiple functions
CHAPTER 16 : PL/SQL (PROCEDURE LANGUAGE – SQL)
Introduction to Programming Languages
Introduction & Advantage of PL/SQL
PL/SQL Architecture, PL/SQL Data types
Difference between SQL and PL/SQL
PL-SQL Programming Structure
How PL/SQL Works?
Example of PL/SQL Features
Simple PL/SQL Programs
Printing Variables
DBMS_Output Package Usage
The %TYPE Attribute and %ROWTYPE
Attribute
Variable and Constants, Using Built-in
Functions
Conditional and Unconditional Statements
Advanced PL SQL Course Content
CHAPTER 17 : PL/SQL – (CONTROL STRUCTURE) - Level I
Simple If, If..Else. Nested If..Else
Statements
Ladder, Selection, Simple Case Statements
CHAPTER 21 : ADVANCED PL/SQL - 2
Cross Tab Views using Pivot/Unpivot
Operators
Follows Clause and READONLY Tables
IN-LINE VIEWS. Manipulations with Triggers
www.sqlschool.com
GOTO Label and EXIT Statements in
PL/SQL
Iterations in PL/SQL, Simple LOOP, WHILE
FOR LOOP and NESTED LOOPS in PLSQL
Overview of PL/SQL Control Structures
PL/SQL Select statements
PL/SQL Delimiters
Iterations in PL/SQL, Simple LOOP, WHILE
FOR LOOP and NESTED LOOPS in PLSQL
Purity Levels in Oracle - with Examples
User_Source Dictionary Table Packages
Creating PACKAGE Specifications with PLSQL
PACKAGE Body - Examples with Big Data
Tables
Private and Public Objects in PACKAGE
Types of Exceptions: User Defined
Exceptions
EXCEPTIONS in PL/SQL with Real-time
Event Handling and Error Handling
Techniques
Important Error Code Values in PL/SQL
RAISE_APPLICATION_ERROR Procedure
CHAPTER 18 : PL/SQL – (CONTROL STRUCTURE) – Level II
SQL within PL/SQL, Composite Data Types
Cursor Variables & Management in PL/SQL
Implicit & Explicit Cursors and Attributes
Cursor with Parameters and Nested LOOPs
Cursors Sub Queries, Reference Cursors
Types of Cursors, Implicit Cursors
Explicit Cursors, Parameterized Cursors
Record & PL/SQL Table. Real-time Use
What are Oracle-Supplied Packages?
Examples - Some of the Oracle-Supplied
Packages
How Does the DBMS_OUTPUT Package
Work?
CHAPTER 22 : ADVANCED PL/SQL - 3
Pragma_Autonomous_Transaction() with SPs
Returning into clause, Bulk Collect
For All, Definer/Invoker Rights & Usage
About Flash Back Queries, Dynamic SQL
Flash Back Command, Purge Command
Regular Expressions in PLSQL
What is the Recycle Bin?
How to Delete Recycle Bin Table?
How to Delete Recycle Bin?
SQL Loader
Abstract Data types
DML Error Logging and Virtual Columns
CHAPTER 19: LOCKS in ORACLE TABLES
Open Transactions and Lock Concepts
Lock Types and Locking Mechanism
Row Level Locks for Table Data Access
Table Level Locks and Query Blocking
Shared Lock and Real-time Use
Shared Update Lock and Real-time Use
Exclusive Lock and Real-time Use
DeadLock:Detection,Prevention, Avoidance
Implicit Locking Concepts with PLSQL
How to check how many locks are
occurred?
LOCK Hints and Query Blocking
CHAPTER 23 : ADVANCED PL/SQL - 4
Types of Triggers, Row Level Triggers
Statement Level Triggers, DML Triggers
DDL Triggers and Schema Level Triggers
Using OLD & NEW References, Trigger
Auditing
Enabling / Disabling Triggers, Dropping
Triggers
Triggers in PL/SQL and Data Manipulations
Using Memory Tables in Triggers
DML and DDL Events with Triggers
Compound Triggers, New data types
Working with LARGE Tables in PLSQL
New: EXTRACT(), Autonomous Transaction
www.sqlschool.com
CHAPTER 20 : ADVANCED PL/SQL - 1
Procedures in PL/SQL: STORED
PROCEDURE
PROCEDURES @ Parameters (IN, OUT, IN
OUT)
POSITIONAL Notation and NAMED Notation
Procedure with Cursors and Sub Queries
ALTER and DROP of Stored Procedures
Functions in PL/SQL: Real-time Usage
User Defined Functions, Nested Functions
Using Functions in SQL Statements
Working with Procedures and Functions
Comparing Stored Procedures and
Functions
Using SPs with Table Value Functions
Using SPs for Dynamic SQL Statements
Loops and Table Variables in SQL
Programs
Merge, NVL2(), NULLIF(), COALESCE()
CASE & Temporary /Global Tables
CHAPTER 24: IMPLEMENTING OBJECT TECHNOLOGY – Level I
Object Technology and Applicative Use
OOPS-Object Instances, Creation of Objects
Creating User Defined Data Types
Creating Object Tables in Oracle
Inserting rows in Table using Object
Retrieving data from Object Based Tables
Calling a Method, Indexing Abstract
Data type Attributes in PLSQL
Advantages of Collections
CHAPTER 25: IMPLEMENTING OBJECT TECHNOLOGY – Level II
Ref Cursor (Dynamic Cursor), Weak Ref Cursor
Strong Ref Cursors and Nested Tables
Associative Arrays, VARRAYS/VARYING arrays
Creating tables using Nested Tables
Inserting, Updating & Deleting
Nested, Table Records
Perform a Basic Search using the REGEXP_LIKE function
Patterns using the REGEXP_INSTR function
Extract Substrings using the REGEXP_SUBSTR function
Replace Patterns Using the REGEXP_REPLACE
REAL-TIME PROJECT
As a part of this Oracle PL-SQL Course, we shall work on a Real-world BANKING Project, The
project includes about 3000 Lines of Code (COMPLETELY SOLVED).
Phase 1: DATABASE DESIGN
Understanding OLTP Requirements, End to End Project Planning, Work Flow, Naming
Conventions in Real-time, User Creations , Table Creations, Relations, Implementing Normal
www.sqlschool.com
Forms, Creating Data Sheets, Test Data, Creating Synonyms - Security Advantages, Using
Synonyms for Object Access.
Phase 2: QUERY DESIGN
Joining Tables for Reports, Query Design and Tuning, Views with JOIN Options, Implementing
Views, Credit / Debit Reports, Customers & Accounts Reports, Transactions Reports, Active
Customers, Ledgers, Customer Address, Branches.
Phase 3: PROGRAMMING
Automating DML Operations, Using Views for Data Inserts, Using Triggers with Views,
Transactional Codes in PL- SQL, Debits and Credits Logic, Event Handling Mechanism, Error
Handling Mechanism, Stored Procedures for DMLs, Stored Procedures with Triggers.
Phase 4: RESUME PLANNING + PROJECT ORIENTED INTERVIEW QUESTIONS
For Free Demo, please call or Email us [24x7]
Reach Us: Email: [email protected] Skype: SQL School Training Institute Website: www.sqlschool.com
Call Us: India : +91 9666 44 0801 +91 9666 64 0801 USA: +1 510 400 4845
All Session Are Completely Practical and Real Time
For courses, please visit: http://sqlschool.com/Courses.html For LIVE Online Training, please visit: http://sqlschool.com/Register.html For Classroom Training, please visit: http://sqlschool.com/Classroom-Training.html For Video Training, please visit: http://sqlschool.com/Video-Training.html