Programming languages

As we know, we need a specific language to communicate with a human, just as programmers also need a language to communicate with computers, which is called a Programming Language. A programming language is a computer language used by programmers (developers) to communicate with computers. It is a set of instructions written in any specific language (C, C++, Java, and Python) to perform a specific task. Types of programming languages  

Low-level programming language

A low-level language is a machine-dependent (0s and 1s) programming language. So, The processor runs low-level programs directly without the need for a compiler or interpreter, so programs written in a low-level language can run very quickly.

High-level programming language 

A High-level programming language (HLL) is intended for developing user-friendly software programs and web pages. So, Programming language requires a compiler or interpreter to translate the program into machine language (execute the program).

The main advantage of a high-level language is that it is easy to read, write and maintain. High-level programming languages include Python, Java, JavaScript, PHP, C#, C++, Objective C, Cobol, Perl, Pascal, LISP, FORTRAN, and the Swift programming language.

Programming languages Course Details

  • C#
  • C++
  • Java
  • Hello react
  • Swift
  • Nodes js
  • R language

MODULE 1- Getting Started

  • C# Fundamentals
    • Namespaces, Input and Output
    • Operators and Control Constructs
    • Value data types, Arrays, and References
  • Method Parameters
    • Using params
    • Using ref
    • Using out

MODULE 2 – Classes and Objects

  • Class Design
    • Fields, Properties, Accessors
    • Constructors, Destructors, this keyword
    • Method Overloading
    • Static Fields and Methods
  • Inheritance
    • Polymorphism with virtual and override
    • Using base with Constructors and Methods
  • Classes and Structs
    • Abstract Classes and Methods
    • Sealed Classes
    • The Object Class
    • Boxing and Unboxing
    • Creating and Using Structs

MODULE 3 – Working with Objects

  • Exception Handling
    • try, catch, throw, finally
    • Exception Objects
  • Interfaces
    • Implementing and Extending Interfaces
    • The is and as Operators
    • Interfaces vs. Abstract Classes
    • Qualified Interfaces
  • Resource Management

MODULE 4 – Delegates and Events

  • Delegates
    • The delegate keyword
    • Assigning Methods to Delegates
    • Anonymous Methods, Lambda Expressions
  • Events
    • The event keyword
    • Publish-Subscribe Pattern
    • Event Properties and Handlers
  • Callbacks
    • Using AsyncCallback and IAsyncResult
  • Standard Events
    • Using EventHandler and EventArgs

MODULE 5 – Windows Programming in C#

  • Windows Forms
  • Controls and Components
    • Label, Button, TextBox, CheckBox
    • ComboBox, RadioButtons, ListBox
    • DateTimePicker, ImageList, Panel
    • FlowLayoutPanel and TableLayoutPanel
  • Window Applications
    • Window Events
    • MenuBars, MenuItems, Status Bars

MODULE 6 – Threads

  • The Thread Class
  • Starting Threads, Thread Priorities
  • Timer Threads
  • Interlocked, Monitor, and lock()

MODULE 7 – Generics and Collections

  • Generics
    • Generic Methods and Classes
    • Generic Delegates
  • Collections
    • Indexers
    • Stack and Queue
    • ArrayList, List, LinkedList
    • Dictionary

MODULE 8 – File I/O and Streams

  • File and Directory Management
  • Reading and Writing Text Files
  • Reading and Writing Binary Files

Section 1 –

  • Object-Oriented Fundamentals
  • Programming Paradigms
  • Conquering Complexity
  • C++ Basics
  • Built-in Types, Arrays and Pointers
  • Comments, Keywords, I/O Streams
  • Built-in Operators and Control Constructs
  • Dynamic Free Store Operators
  • C++ Functions
  • Definition and Prototypes
  • Inline Functions
  • Structures and References

Section 2

  • Classes and Objects
  • Encapsulation
  • Data Members, Member Functions
  • Private and Public
  • Constructors and Destructors
  • Default Arguments
  • Storage Allocation and Deallocation
  • this Pointer
  • Copy Constructors

Section 3

  • Overloading
  • Overloading Functions
  • Overloading Operators
  • Unary and Binary Operators
  • Initialization vs. Assignment
  • Stream Input and Output

Section 4

  • Polymorphic Programming
  • Inheritance
  • Public Inheritance and Subtyping
  • Base and Derived Classes
  • Constructors and Destructors
  • Base Class Initialization
  • Using Protected keyword
  • Virtual Functions
  • Base Class Pointers and References
  • Dynamic Binding
  • Abstract Base Classes
  • Pure Virtual Functions
  • Virtual Destructors

Section 5

  • Code Reuse in C++
  • Containment
  • Objects as Data Members
  • Member Initialization
  • Private Inheritance
  • Base and Derived Relationship
  • Access Declarations

Section 6

  • Designing with C++
  • Templates
  • Template Functions
  • Template Classes
  • Exceptions
  • try, catch, throw
  • Exception Hierarchies
  • Introduction to Java
  • Bytecode
  • Class Files
  • Compilation Process
  • Data types, and Operations
  • if conditions
  • Loops – for
  • while and do while
  • Arrays
  • Single Dimensional
  • Multidimensional arrays
  • Functions
  • Function with Arguments
  • Function Overloading
  • The concept of Static Polymorphism
  • String Handling
  • String
  • String Buffer Classes
  • OOPS in Java
  • Concept of Object Orientation
  • Attributes, and Methods
  • Classes and Objects
  • Methods and Constructors
  • Default Constructors and Constructors with Arguments
  • Inheritance
  • Abstract
  • Final
  • Static
  • Packages and Interfaces
  • Access Specifiers:
  • Public, Private
  • Protected and Package
  • Exception Handling: Try
  • Catch
  • Finally
  • Throw and Throws
  • Multi-Threading: Runnable Interface
  • Extending a Thread Class
  • Synchronization in Thread
  • Wrapper Classes and Inner Classes: Integer, Character, Boolean, Float etc
  • Applet Programs:
  • How to write UI programs with Applet
  • lang
  • io
  • util
  • Collections: ArrayList
  • Vector
  • HashSet
  • TreeSet
  • HashMap
  • HashTable

Hello React Native

  • What is React Native?
  • What does it do for us? Why choose it?
  • Pros and cons
  • Architecture
  • Sharing with web projects
  • What React Native code looks like
  • Leveraging your React knowledge

React and Redux reviews (when needed)

  • Redux reminder
  • Reducers, actions, state, store, and
  • middleware
  • React reminder
  • SFCs vs class-based components
  • Composition
  • JSX structure and rules
  • props
  • state
  • Controlled and uncontrolled
  • components
  • Virtual DOM vs the real DOM

The Development Process

  • Where do I even start?
  • react-native vs. create-react-nativeapp
  • Which is better for given situations
  • The React Native team’s
  • recommendations
  • What is expo?
  • Creating a new React Native app
  • How to run it on a tethered device
  • How to run it on a wireless device
  • How to run it in an Android emulator
  • How to run it on an iOS simulator
  • Debugging in a browser window
  • Logging, breakpoints, stepping
  • through
  • YellowBoxes and RedBoxes

Single-value Controls

  • Components overview
  • Categories of components
  • Text
  • Text props and events
  • TextInput
  • props and events and the event object
  • Image
  • Differences between HTML and React
  • Native images
  • Reserving space for them
  • Local images vs remote images
  • resizeMode

Platform-specific Development

  • How can we develop differently on the
  • different platforms?
  • Why would we ever do this?
  • Technical roadblocks
  • The DatePicker – iOS vs Android
  • Using the Platform module

Layout Components

  • Components review
  • View
  • SafeAreaView
  • ScrollView
  • Pinch-to-zoom
  • KeyboardAvoidingView
  • How to create modal views
  • Controlling the OS’s status bar

Flexbox for Native Layouts

  • Why flexbox?
  • Where it came from
  • Flexbox on the web is NOT flexbox on
  • native
  • Containers and items
  • Flex Direction
  • flex Basis vs width/height
  • flex Shrink, flexGrow
  • The flex shorthand
  • justifyContent and alignContent
  • flexWrap

Styling React Native Apps

  • How React Native styles differ from
  • CSS
  • How to apply styles
  • How to control style inheritance
  • Style arrays
  • Four methods of defining styles
  • Common properties
  • Cross-platform fonts
  • Conditional and programmatic styles


  • What is navigation, really?
  • How to get React Navigation
  • The three types of navigators
  • StackNavigator
  • Routing object
  • Navigation config
  • How to pass params when navigating
  • TabNavigators
  • Three types of TabNavigators
  • How to set icons
  • DrawerNavigator
  • Examples and demos

Ajax in React Native

  • Why it must be different on a device
  • The fetch API
  • How to show a loading indicator
  • How to make requests and populate
  • affordances

Basics of Swift

  • Open and run a provided Xcode Playground
  • Produce a new, blank Xcode Project
  • Write functional Swift code
  • Execute new syntax in Xcode Playgrounds
  • Recognize the use of control flow in swift coding

App Development Process

  • Differentiate the ordered phases in the app development process and their unique importance
  • Employ thoughtful design thinking during the app planning process
  • Recognize and intervene when the app development process is rushed

Debugging and Problem Solving

  • Recognize individual lines of code and the result of their execution
  • Identify errors and bugs, explain their problems, and correct them
  • Identify working code and non-working code
  • Utilize Apple documentation to understand project-specific syntax

Interface Builder

  • Practice building a UI in Xcode
  • Create outlets and actions for UI elements
  • Distinguish between good and bad UI design
  • Model a successful UI in a wireframe

More Swiftly

  • Write code that interacts with the UI using UIKit
  • Utilize Storyboards to layout the UX
  • Generate loops, functions, and custom data types
  • Build UI’s with Auto Layout that scale on different sized devices

Portfolio Project

  • Create a portfolio to showcase coding projects

More Swiftly Continued

  • Work with custom data types in Swift
  • Develop in-app workflows and navigation with multiple screens

App Exercise

  • Create an app through a guided planning process
  • Write apps that combine all of the Swift and Xcode tools introduced thus far

Staying Current

  • Understand the importance of app maintenance
  • Implement readable code
  • Write useful and clear comments
  • Identify professional development opportunities

Final App Challenge

  • Combine course topics into a cohesive project
  • Implement previous concepts independently

Introduction to Node JS

  • Introduction to Node JS
  • What is Node JS, Node.js Process Model?
  • Advantages of Node JS
  • Traditional Web Server Model

Setup Development Environment

  • install Node.js on Windows
  • Working in REPL, Node JS Console

Node JS Modules

  • Functions, Buffer, Module
  • Core Modules, Local Modules
  • Modules Types
  • Modules Exports

Node Package Manager

  • What is NPM, Installing Packages Locally?
  • Adding dependency in package Jason
  • Installing package globally
  • Updating packages

Creating Web Server

  • Creating Web Server
  • Handling http requests
  • Sending Requests

File System

  • Fs.readFile, Writing a File
  • Writing a file asynchronously
  • Opening a file, Deleting a file
  • Other IO Operations

Debugging Node JS Application

  • Core Node JS Debugger


  • Event Emitter class ~ Returning event emitter
  • Inheriting Events

Express JS

  • Configuring Routes
  • Working with Express

Serving Static Resources

  • Serving Static Files
  • Working with Middle Ware

Database Connectivity

  • Connecting String, Configuring
  • Working with Select Command
  • Updating Records
  • Deleting Reco
  • R language for statistical programming, various features of R, introduction to R Studio, statistical packages, familiarity with different data types and functions, learning to deploy them in various scenarios, use SQL to apply ‘join’ function, components of R Studio like code editor, visualization and debugging tools and learn about R-bind
  • R Packages

R functions, code compilation and data in well-defined format called R Packages, R Package structure, package metadata and testing, CRAN (Comprehensive R Archive Network), vector creation and variables values assignment

  • Sorting Data Frame

R functionality, Rep function, generating repeats, sorting and generating factor levels, transpose and stack function

  • Matrices and Vectors

Introduction to matrix and vector in R, understanding various functions like Merge, Strsplit, Matrix manipulation, rowSums, rowMeans, colMeans, colSums, sequencing, repetition, indexing and other functions

  • Reading Data from External Files

Understanding subscripts in plots in R, how to obtain parts of vectors, using subscripts with arrays, as logical variables, with lists and understanding how to read data from external files

  • Generating Plots

Generate plots in R, graphs, bar plots, line plots, histograms and components of a pie chart

  • Analysis of Variance (ANOVA)

Understanding analysis of variance (ANOVA) statistical technique, working with pie charts and histograms and deploying ANOVA with R, one-way ANOVA and two-way ANOVA

  • K-Means Clustering

K-Means clustering for cluster and affinity analysis, cluster algorithm, cohesive subset of items, solving clustering issues, working with large datasets, association rule mining affinity analysis for data mining and analysis and learning co-occurrence relationships

  • Association Rule Mining

Introduction to Association Rule Mining, various concepts of Association Rule Mining, various methods to predict relations between variables in large datasets, algorithm and rules of Association Rule Mining and understanding single cardinality

  • Regression in R

Understanding what is simple linear regression, various equations of line, slope, Y-intercept regression line, deploying analysis using regression, the least square criterion, interpreting the results and standard error to estimate and measure of variation

  • Analyzing Relationship with Regression

Scatter plots, two-variable relationship, simple regression analysis and line of best fit

  • Advanced Regression

Deep understanding of the measure of variation, the concept of co-efficient of determination, F-test, the test statistic with an F-distribution, advanced regression in R and prediction linear regression

  • Logistic Regression

Logistic regression mean and logistic regression in R

  • Advanced Logistic Regression

Advanced logistic regression, understanding how to do prediction using logistic regression, ensuring if the model is accurate, understanding sensitivity and specificity, confusion matrix, what is ROC, a graphical plot illustrating binary classifier system and ROC curve in R for determining sensitivity/specificity trade-offs for a binary classifier

  • Receiver Operating Characteristic (ROC)

Detailed understanding of ROC, area under ROC curve, converting the variable, data set partitioning, understanding how to check for multicollinearity, how two or more variables are highly correlated, building of model, advanced data set partitioning, interpreting of the output, predicting the output, detailed confusion matrix and deploying the Hosmer-Lemeshow test for checking whether the observed event rates match the expected event rates

  • Database Connectivity with R

Connecting to various databases from the R environment, deploying the ODBC tables for reading the data and visualization of the performance of the algorithm using confusion matrix

R Case Studies

  • Logistic Regression Case Study

In this case study, you will get a detailed understanding of the advertisement spends of a company that will help to drive more sales. You will deploy logistic regression to forecast the future trends, detect patterns and uncover insights and more, all through the power of R programming. Due to this, the future advertisement spends can be decided and optimized for higher revenues.

  • Multiple Regression Case Study

You will understand how to compare the miles per gallon (MPG) of a car based on various parameters. You will deploy multiple regression and note down the MPG for the car make, model, speed, load conditions, etc. It includes the model building, model diagnostic and checking the ROC curve, among other things.

  • Receiver Operating Characteristic (ROC) Case Study

You will work with various data sets in R, deploy data exploration methodologies, build scalable models, predict the outcome with highest precision, diagnose the model that you have created with various real-world data, check the ROC curve and more.




Programming languages

Fee: 60,000
Duration: 6 Months
Timing: 9AM-11AM, 11AM-1PM, 1PM-3PM, 3PM-5PM, 5PM-7PM, 7PM-9PM

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