Programming Languages Certification Course

Coding Bytes provides 6 months Certificate Course in Programming Languages based on current industry standards that helps attendees to secure placements in their dream jobs in Industry.
Learn Java, Python, Mysql in this course.

 

  • Course Fees: Rs. 45000/-
  • Course Duration: 6 months
  • UKIQ Certificate
  • 100% Placement Assistance
  • 24*7 Expert Support
  • Online & Offline Mode
  • Affordable Fees
  • Easy EMI
  • Live Projects Experience

 

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Certificate Course in Programming Languages

Course Highlights

  • Java
  • OOPS Concept
  • Classes
  • Swings
  • JDBC
  • Python
  • Python Networking
  • Mysql
  • PDBC
  • RDBMS
  • Advance SQL

Programming Languages Certificate Course Details

1) Introduction

  • Why Java
  • Paradigms
  • Diff B/W Java & Other (C,C++)
  • Java History
  • Java Features
  • Java programming format
  • Java Statements
  • Java Data Types

2) OOPS (Object Oriented Programming & Systems)

  • Introduction
  • Object
  • Constructors
  • This Key Word
  • Inheritance
  • Super Key Word
  • Polymorphism (Over Loading & Over Riding)
  • Abstraction
  • Interface
  • Encapsulation
  • Introduction to all predefined packages
  • User Defined Packages
  • Access Specifiers
Blank
3) STRING Manipulation
  • String
  • String Buffer
4) Arrays
  • What is Array
  • Single Dimensional Array
  • Multi Dimensional Array
  • Sorting of Arrays
5) Packages
6) Exception Handling
  • Introduction
  • Pre Defined Exceptions
  • Try-Catch-Finally
  • Throws, throw
  • User Defined Exception examples
7) I/O Streams
  • Introduction
  • Byte-oriented streams
  • Character – oriented streams
  • File
8) Wrapper Classes
  • Introduction
  • Byte, Short, Integer, Long, Float, Double, Character
  • Boolean classes
9) Inner Classes
  • Introduction
  • Member Inner Class
  • Static Inner Class
  • Local Inner Class
  • Anonymous Inner Class
10) Collection Frame Work
  • Introduction
  • Util Package interfaces, List, Set, Map
  • List Interface 7 Its Classes
  • Set Interface & Its Classes
  • Map Interface & Is Classes
11) AWT
  • Introduction
  • Components
  • Event-Delegation-Model
  • Listeners
  • Layouts
  • Individual Components Lable, Button, Check Box, Radio Button,
  • Choice, List, Menu, Text Field, Text Area
12) SWING (JFC)
  • Introduction Diff B/W AWT and SWING
  • Components hierarchy
  • Panes
  • Individual Swings components J Label
  • JButton, JTextField, JTextAres
13) SQL
  • Basics of SQL queries
  • SQL Joins
14) JDBC
  • Introduction
  • JDBC Architecture
  • Types of Drivers
  • Statement
  • Result Set
    • Read Only Result Set
    • Updatable Result Set
    • Forward Only Result Set
    • Scrollable Result Set
    • Prepared Statement
15) Introduction to Languages
  • What is Language?
  • Types of languages
  • Introduction to Translators
  • Compiler
  • Interpreter
  • What is Scripting Language?
  • Types of Script
  • Programming Languages v/s Scripting Languages
  • Difference between Scripting and Programming languages
  • What is programming paradigm?
  • Procedural programming paradigm
  • Object Oriented Programming paradigm
16) Introduction to Python
  • What is Python?
  • WHY PYTHON?
  • History
  • Features – Dynamic, Interpreted, Object oriented, Embeddable, Extensible, Large standard libraries, Free and Open source
  • Why Python is General Language?
  • Limitations of Python
  • What is PSF?
  • Python implementations
  • Python applications
  • Python versions
  • PYTHON IN REALTIME INDUSTRY
  • Difference between Python 2.x and 3.x
  • Difference between Python 3.7 and 3.8
  • Software Development Architectures
17) Python
  • Python Distributions
  • Download &Python Installation Process in Windows, Unix, Linux and Mac
  • Online Python IDLE
  • Python Real-time IDEs like Spyder, Jupyter Note Book, PyCharm, Rodeo, Visual Studio Code, ATOM, PyDevetc
18) Python Language Fundamentals
  • Python Implementation Alternatives/Flavors
  • Keywords
  • Identifiers
  • Constants / Literals
  • Data types
  • Python VS JAVA
  • Python Syntax
19) Different Modes of Python
  • Interactive Mode
  • Scripting Mode
  • Programming Elements
  • Structure of Python program
  • First Python Application
  • Comments in Python
  • Python file extensions
  • Setting Path in Windows
  • Edit and Run python program without IDE
  • Edit and Run python program using IDEs
  • INSIDE PYTHON
  • Programmers View of Interpreter
  • Inside INTERPRETER
  • What is Byte Code in PYTHON?
  • Python Debugger
20) Python Variables
  • bytes Data Type
  • byte array
  • String Formatting in Python
  • Math, Random, Secrets Modules
  • Introduction
  • Initialization of variables
  • Local variables
  • Global variables
  • ‘global’ keyword
  • Input and Output operations
  • Data conversion functions – int(), float(), complex(), str(), chr(), ord()
21) Operators
  • Arithmetic Operators
  • Comparison Operators
  • Python Assignment Operators
  • Logical Operators
  • Bitwise Operators
  • Shift operators
  • Membership Operators
  • Identity Operators
  • Ternary Operator
  • Operator precedence
  • Difference between “is” vs “==”
22) Input & Output Operators
  • Print
  • Input
  • Command-line arguments
23) Control Statements
  • Conditional control statements
  • If
  • If-else
  • If-elif-else
  • Nested-if
  • Loop control statements
  • for
  • while
  • Nested loops
  • Branching statements
  • Break
  • Continue
  • Pass
  • Return
  • Case studies
24) Data Structures or Collections
  • Introduction
  • Importance of Data structures
  • Applications of Data structures
  • Types of Collections
  • Sequence
  • Strings, List, Tuple, range
  • Non sequence
  • Set, Frozen set, Dictionary
  • Strings
  • What is string
  • Representation of Strings
  • Processing elements using indexing
  • Processing elements using Iterators
  • Manipulation of String using Indexing and Slicing
  • String operators
  • Methods of String object
  • String Formatting
  • String functions
  • String Immutability
  • Case studies
25) List Collection
  • What is List
  • Need of List collection
  • Different ways of creating List
  • List comprehension
  • List indices
  • Processing elements of List through Indexing and Slicing
  • List object methods
  • List is Mutable
  • Mutable and Immutable elements of List
  • Nested Lists
  • List_of_lists
  • Hardcopy, shallowCopy and DeepCopy
  • zip() in Python
  • How to unzip?
  • Python Arrays:
  • Case studies
26) Tuple Collection
  • What is tuple?
  • Different ways of creating Tuple
  • Method of Tuple object
  • Tuple is Immutable
  • Mutable and Immutable elements of Tuple
  • Process tuple through Indexing and Slicing
  • List v/s Tuple
  • Case studies
27) Set Collection
  • What is set?
  • Different ways of creating set
  • Difference between list and set
  • Iteration Over Sets
  • Accessing elements of set
  • Python Set Methods
  • Python Set Operations
  • Union of sets
  • functions and methods of set
  • Python Frozen set
  • Difference between set and frozenset ?
  • Case study
28) Dictionary Collection
  • What is dictionary?
  • Difference between list, set and dictionary
  • How to create a dictionary?
  • PYTHON HASHING?
  • Accessing values of dictionary
  • Python Dictionary Methods
  • Copying dictionary
  • Updating Dictionary
  • Reading keys from Dictionary
  • Reading values from Dictionary
  • Reading items from Dictionary
  • Delete Keys from the dictionary
  • Sorting the Dictionary
  • Python Dictionary Functions and methods
  • Dictionary comprehension
29) Functions
  • What is Function?
  • Advantages of functions
  • Syntax and Writing function
  • Calling or Invoking function
  • Classification of Functions
  • No arguments and No return values
  • With arguments and No return values
  • With arguments and With return values
  • No arguments and With return values
  • Recursion
  • Python argument type functions :
    • Default argument functions
    • Required(Positional) arguments function
    • Keyword arguments function
    • Variable arguments functions
  • ‘pass’ keyword in functions
  • Lambda functions/Anonymous functions
    • map()
    • filter()
    • reduce()
  • Nested functions
  • Non local variables, global variables
  • Closures
  • Decorators
  • Generators
  • Iterators
  • Monkey patching
30) Python Modules
  • Importance of modular programming
  • What is module
  • Types of Modules – Pre defined, User defined.
  • User defined modules creation
  • Functions based modules
  • Class based modules
  • Connecting modules
  • Import module
  • From … import
  • Module alias / Renaming module
  • Built In properties of module
31) Packages
  • Organizing python project into packages
  • Types of packages – pre defined, user defined.
  • Package v/s Folder
  • py file
  • Importing package
  • PIP
  • Introduction to PIP
  • Installing PIP
  • Installing Python packages
  • Un installing Python packages
32) OOPs
  • Procedural v/s Object oriented programming
  • Principles of OOP – Encapsulation , Abstraction (Data Hiding)
  • Classes and Objects
  • How to define class in python
  • Types of variables – instance variables, class variables.
  • Types of methods – instance methods, class method, static method
  • Object initialization
  • ‘self’ reference variable
  • ‘cls’ reference variable
  • Access modifiers – private(__) , protected(_), public
  • AT property class
  • Property() object
  • Creating object properties using setaltr, getaltr functions
  • Encapsulation(Data Binding)
  • What is polymorphism?
  • Overriding
  1. i) Method overriding
  2. ii) Constructor overriding
  • Overloading
  1. i) Method Overloading
  2. ii) Constructor Overloading

iii)  Operator Overloading

  • Class re-usability
  • Composition
  • Aggregation
  • Inheritance – single , multilevel, multiple, hierarchical and hybrid inheritance and Diamond inheritance
  • Constructors in inheritance
  • Object class
  • super()
  • Runtime polymorphism
  • Method overriding
  • Method resolution order(MRO)
  • Method overriding in Multiple inheritance and Hybrid Inheritance
  • Duck typing
  • Concrete Methods in Abstract Base Classes
  • Difference between Abstraction & Encapsulation
  • Inner classes
  • Introduction
  • Writing inner class
  • Accessing class level members of inner class
  • Accessing object level members of inner class
  • Local inner classes
  • Complex inner classes
  • Case studies
33) Exception Handling & Types of Errors
  • What is Exception?
  • Why exception handling?
  • Syntax error v/s Runtime error
  • Exception codes – AttributeError, ValueError, IndexError, TypeError…
  • Handling exception – try except block
  • Try with multi except
  • Handling multiple exceptions with single except block
  • Finally block
    • Try-except-finally
    • Try with finally
    • Case study of finally block
  • Raise keyword
    • Custom exceptions / User defined exceptions
    • Need to Custom exceptions
  • Case studies
34) Regular Expressions
  • Understanding regular expressions
  • String v/s Regular expression string
  • “re” module functions
  • Match()
  • Search()
  • Split()
  • Findall()
  • Compile()
  • Sub()
  • Subn()
  • Expressions using operators and symbols
  • Simple character matches
  • Special characters
  • Character classes
  • Mobile number extraction
  • Mail extraction
  • Different Mail ID patterns
  • Data extraction
  • Password extraction
  • URL extraction
  • Vehicle number extraction
  • Case study
35) File & Directory handling
  • Introduction to files
  • Opening file
  • File modes
  • Reading data from file
  • Writing data into file
  • Appending data into file
  • Line count in File
  • CSV module
  • Creating CSV file
  • Reading from CSV file
  • Writing into CSV file
  • Object serialization – pickle module
  • XML parsing
  • JSON parsing
36) Python Logging
  • Logging Levels
  • implement Logging
  • Configure Log File in over writing Mode
  • Timestamp in the Log Messages
  • Python Program Exceptions to the Log File
  • Requirement of Our Own Customized Logger
  • Features of Customized Logger
37) Date & Time module
  • How to use Date & Date Time class
  • How to use Time Delta object
  • Formatting Date and Time
  • Calendar module
  • Text calendar
  • HTML calendar
38) OS module
  • Shell script commands
  • Various OS operations in Python
  • Python file system shell methods
  • Creating files and directories
  • Removing files and directories
  • Shutdown and Restart system
  • Renaming files and directories
  • Executing system commands
39) Multi-threading & Multi Processing
  • Introduction
  • Multi tasking v/s Multi threading
  • Threading module
  • Creating thread – inheriting Thread class , Using callable object
  • Life cycle of thread
  • Single threaded application
  • Multi threaded application
  • Can we call run() directly?
  • Need to start() method
  • Sleep()
  • Join()
  • Synchronization – Lock class – acquire(), release() functions
  • Case studies
40) Garbage collection
  • Introduction
  • Importance of Manual garbage collection
  • Self reference objects garbage collection
  • ‘gc’ module
  • Collect() method
  • Threshold function
  • Case studies
41) Python Data Base Communications(PDBC)
  • Introduction to DBMS applications
  • File system v/s DBMS
  • Communicating with MySQL
  • Python – MySQL connector
  • connector module
  • connect() method
  • Oracle Database
  • Install cx_Oracle
  • Cursor Object methods
  • execute() method
  • executeMany() method
  • fetchone()
  • fetchmany()
  • fetchall()
  • Static queries v/s Dynamic queries
  • Transaction management
  • Case studies
42) Python – Network Programming
  • What is Sockets?
  • What is Socket Programming?
  • The socket Module
  • Server Socket Methods
  • Connecting to a server
  • A simple server-client program
  • Server
  • Client
43) Tkinter & Turtle
  • Introduction to GUI programming
  • Tkinter module
  • Tk class
  • Components / Widgets
  • Label , Entry , Button , Combo, Radio
  • Types of Layouts
  • Handling events
  • Widgets properties
  • Case studies
44) Basics of Database
  • RDBMS
  • Architecture of MySQL
  • Database ACID properties
  • Installation and Configuring MySQL
  • Features of DBMS
45) Database Design
  • Database Table and Constraints
  • ACID and Transactions
  • Deadlocks, Isolation Levels and Logging
  • Designing and Normalization
46) Security and Users
  • Creating users and granting privileges
  • User Backup
  • Security practices and changing password
47) Performance
  • Performance problems
  • Performance monitoring
  • Impact of Indexing on Database performance
  • Performance Optimization
48) MySql Basics
  • Database creation
  • Database manipulation – Add, Edit, Retrieve and Delete
  • Table creation
  • Table manipulation – Add, Edit, Retrieve and Delete
49) Advance SQL
  • Building and Updating VIEWs
  • SQL Select Statements
  • Using Joins to combine Related Table
  • Insert, Update and Delete commands
  • Sub queries

 

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