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Next cohort Starts

7th Jan, 2025

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Program duration

11 months

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Learning Format

Live, Online, Interactive

Why Choose Our Full Stack Developer Course in Noida?

Noida is a hub for technology and innovation, offering numerous opportunities for aspiring software developers. Our Full Stack Development course in Noida is designed to equip you with the skills and knowledge required to excel in this high-demand field. From front-end design to back-end architecture, our course covers everything you need to succeed in the tech-driven world.

Key Highlights of this Full Stack Developer Course at IISTP

Full Stack Development is one of the most versatile and rewarding fields today, combining creativity and technical skills. Our course is designed to equip you with the tools and techniques required to excel in this dynamic industry. Here's why this program is the ideal choice for aspiring developers:

This comprehensive program ensures you're job-ready and confident to tackle the challenges of the Full Stack Development world.

What You’ll Learn in Our Full Stack Developer Course

In today’s tech-driven world, mastering Full Stack Development is essential for professionals looking to stay ahead. Our comprehensive course is carefully designed to help you build a solid foundation in software development while preparing you to solve real-world problems. Here's a detailed breakdown of the modules you'll explore:

  • Front-End Development:
  • Back-End Development:
  • Database Management:
  • Version Control:
  • Deployment:
  • Real-World Projects:

Why Choose Our Full Stack Developer Course in Noida?

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Access Multiple Tools

Learn to analyze data effectively using diverse advanced tools.

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Live Session

Interactive live sessions with expert guidance and real-time queries.

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Multiple Projects

Hands-on experience with multiple real-world Full Stack Developer projects.

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Comprehensive Curriculum

Extensive syllabus covering core and advanced Full Stack Developer topics.

Course Duration

Duration: 11 months (weekend and weekday batches available)

Fees: ₹60,000 (inclusive of all taxes)

Scholarships: Up to 20% for early enrollments

Small batches with only 8-10 students for better attention. Regular assessments to track your progress.

Agile Activity

Next cohort starts on 7th Jan

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Contact Us

Full Stack Developer Certification Advantage

IISTP offers a Full Stack Development Certification Course in Noida with comprehensive training in front-end, back-end, and database management. Designed for both beginners and professionals, this course equips you with practical skills in React, Node.js, MongoDB, and deployment practices. Gain hands-on experience with real-world projects and enhance your career prospects in the rapidly growing software development industry. Learn from expert instructors and become a certified Full Stack Developer in Noida.

Fast-track your career with our comprehensive Full Stack Developer Course. Gain industry-relevant skills, hands-on experience, and expert guidance to excel in analytics and business intelligence. Unlock high-paying opportunities and achieve professional growth faster.

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Full Stack Developer Course Curriculum Overview

What You’ll Learn in Our Full Stack Developer Course

Python for Full Stack Developer
Full Stack Developer Primer and Statistics

Detailed Course Contents:

  • Introduction HTML
  • HTML Basics
  • HTML Elements
  • HTML5 Semantic
  • HTML Attributes
  • HTML Headings
  • HTML Paragraph
  • HTML Styles
  • HTML Formatting
  • HTML Computer Code
  • HTML Comments & Colours
  • HTML CSS, Links and Images
  • HTML Lists
  • HTML Blocks
  • HTML Layout
  • HTML Responsive
  • HTML JavaScript
  • HTML Head
  • Introduction CSS3
  • CSS3 Syntax
  • CSS3 Colours
  • CSS3 Backgrounds
  • CSS3 Borders
  • CSS Padding
  • CSS Height/Width
  • CSS3 Gradients
  • CSS3 Shadows
  • CSS3 Text
  • CSS3 Fonts
  • CSS3 2D Transforms
  • CSS3 3D Transforms
  • CSS Box Model
  • CSS Display
  • CSS Position
  • CSS Align
  • CSS Pseudo-class
  • CSS Pseudo-element
  • CSS Navigation Bar
  • CSS Dropdowns
  • CSS3 Images
  • CSS Attr Selectors
  • CSS Forms
  • CSS Counters
  • CSS3 Animations
  • CSS3 Buttons
  • CSS3 Multiple Columns
  • CSS3 Filters
  • CSS3 Media Queries
  • CSS3 Responsive
  • Introduction to Bootstrap
  • Bootstrap Basics
  • Bootstrap Grids
  • Bootstrap CSS
  • Typography
  • Tables
  • Forms
  • Carousel
  • Modal
  • Tooltip

Detailed course contents:

    Introduction to JavaScript

  • History of JavaScript
  • Advantages
  • Limitations
  • Script element
  • Creating your first JavaScript program
  • Coding convention
  • Setting up development environment (with VSCode)

Types and Statements

  • Keywords in JavaScript
  • Overview of Data types
  • Primitive Data types
  • Non-primitive Data types
  • Conditional statements
  • Loops

Operators

  • Introduction to operators
  • Operator precedence and associativity
  • Deep dive into operators
  • Arithmetic
  • Comparison
  • Ternary
  • Logical
  • Language
  • Language

Functions - Level I

  • Introduction to functions
  • Function definition
  • Passing values
  • Returning values
  • Local and global variables
  • Functions as objects
  • Function constructor

Functions - Level II

  • Function invocation patterns
  • Arrow functions
  • JavaScript scopes
  • Function closures

Arrays and Strings

  • Introduction to Arrays
  • Array declaration
  • Array access methods
  • Multi-dimensional arrays
  • String properties
  • String access methods

Objects in JavaScript

  • Introduction to objects
  • Type of objects in JavaScript
  • Creating objects
  • Object methods
  • Constructor function
  • Prototype in JavaScript
  • Inheritance using prototype chain

Event handling

  • JavaScript events
  • Event handler
  • Event flow
  • Event bubbling and capturing
  • Event types

Document Object Model (DOM)

  • Introduction to DOM
  • Types of DOM
  • DOM standards and methods
  • Manipulating documents using DOM
  • Handling images
  • Table manipulation
  • Animation
  • Node and Node-list handling

Form Handling

  • Introduction to forms
  • Form processing
  • Forms object
  • Accessing data from forms
  • Form validation
  • Additional features in forms
  • Validation APIs

Debugging Techniques

  • JavaScript Errors
  • Error handling mechanisms
  • Introduction to jQuery
  • jQuery Syntax
  • jQuery Selectors
  • jQuery Events
  • jQuery Effects
  • jQuery HTML
  • jQuery Traversing
  • jQuery AJAX & Misc

Detailed course contents:

    Introduction to React

  • History of React
  • Key Benefits of React
  • React development environment
  • Creating your first React Application
  • React Source code structure

JSX

  • Introduction to JSX
  • Coding in JSX
  • Expressions in JSX
  • Working with HTML
  • Conditional Constructs

Components

  • Introduction to components
  • Why Components?
  • Writing JSX code in components
  • Adding CSS
  • Populating Data Dynamically
  • Passing data through "props"
  • Multiple Components

State and Event Binding

  • Introduction to Events
  • Event Handlers
  • Working with state
  • Data Binding
  • Controlled and Uncontrolled Components

Rendering Lists and Conditional Contents

  • Rendering lists of data
  • Using stateful list
  • Keys in data
  • Conditional Contents
  • Adding dynamic styles

Debugging Techniques

  • Understanding error message
  • Code flow and warnings
  • Breakpoints
  • Using React Dev Tools

Class based Components

  • What and Why?
  • Adding first class based component
  • Working with states and events
  • Component Life cycle and in action
  • Class based vs functional component

HTTP

  • Introduction to HTTP
  • Methods in HTTP
  • Response code in HTTP
  • Introduction to REST interfaces
  • Characteristics of REST
  • Introduction to JSON
  • JSON data representation
  • GET request
  • Using async and await
  • Handling Http errors
  • useEffects()
  • POST request

Custom React Hooks

  • What are custom hooks?
  • Creating and using custom hooks
  • Custom HTTP hooks

Forms

  • Introduction to Forms
  • Working with user input and submission
  • Adding validation
  • Working with custom hooks

Routing and Navigation

  • Introduction to Single Page Applications
  • What is Routing?
  • Why Routing?
  • Installing react router
  • Defining and using routes
  • Working with links
  • Dynamic routes with Params
  • Nested routes
  • Redirecting the user
  • Working with query Param
  • Sending and getting data via HTTP

Authentication

  • What is authentication?
  • Why and How?
  • Authentication tokens
  • Setting up
  • Adding signup
  • Showing feedback to the user
  • Adding User login
  • Using tokens
  • Redirecting the user
  • Adding logout
  • Protecting frontend pages
  • Persisting User authentication status
  • Adding auto logout

Deployment

  • Introduction
  • Deployment steps
  • Adding lazy loading
  • Building the code for production
  • Getting started with deployment
  • Handling routes and finishing deployment
  • Introduction
  • RESTful Services
  • Introducing Express
  • Building Your First Web Server
  • Nodemon
  • Environment Variables
  • Route Parameters
  • Handling HTTP GET Requests
  • Handling HTTP POST Requests
  • Calling Endpoints Using Postman
  • Input Validation
  • Handling HTTP PUT Requests
  • Handling HTTP Delete Requests

Express - Advanced Topics

  • Middleware
  • Creating Custom Middleware
  • Built-In Middleware
  • Third-party Middleware
  • Environments
  • Configuration
  • Debugging

Asynchronous JavaScript

  • Synchronous Vs. Asynchronous Code
  • Patterns For Dealing with Asynchronous Code
  • Callbacks
  • Callback Hell
  • Named Functions to Rescue
  • Promises
  • Replacing Callbacks with Promises
  • Consuming Promises
  • Creating Settled Promises
  • Running Parallel Promises
  • Async and Await
  • What is Node
  • Node Architecture
  • How Node Works
  • Installing Node
  • Your First Node Program
  • Event Loop

Node Module System

  • Introduction
  • Global Object
  • Modules
  • Creating a Module
  • Loading a Module
  • Module Wrapper Function
  • Path Module
  • OS Module
  • File System Module
  • Events Module
  • Event Arguments
  • Extending Event Emitter
  • HTTP Module

Node Package Manager (NPM)

  • Introduction
  • Package.json
  • Installing a Node Package
  • Using a Package
  • Package Dependencies
  • NPM Packages and Source Control
  • Semantic Versioning
  • Listing the Installed Packages
  • Viewing Registry Info for a Package
  • Installing a Specific Version of a Package
  • Updating Local Packages
  • DevDependencies
  • Uninstalling a Package
  • Working with Global Packages
  • Publishing a Package
  • Updating a Published Package

Detailed course contents:

  • CRUD Operations Using MongoDB
  • Installing MongoDB
  • Connecting to MongoDB
  • Schemas
  • Models
  • Saving a Document
  • Querying Documents
  • Comparison Query Operators
  • Logical Query Operators
  • Regular Expressions
  • Updating Documents - Query First
  • Updating a Document - Update First
  • Removing Documents

Authentication and Authorization:

  • Introduction
  • Creating the User Model
  • Registering Users
  • Authenticating Users
  • Testing the Authentication
  • JSON Web Tokens
  • Generating Authentication Tokens
  • Storing Secrets in Environment Variables
  • Setting Response Headers
  • Authorization Middleware
  • Protecting Routes
  • Role Based Authorization

Handling and Logging Errors Deployment:

  • Preparing the App for Production
  • Preparing the App for Deployment
  • Adding the Code to a Git Repository
  • Setting Environment Variables
  • MongoDB in the Cloud

Python Overview:

  • Why do we need Python?
  • Program structure

Environment Setup:

  • Python Installation
  • Execution Types
  • Using the Python Interpreter
  • Integrated Development Environments

Basic Concepts:

  • Python Arithmetic Operators
  • Python Comparison Operators
  • Python Assignment Operators
  • Python Logical Operators

Loops and Decision Making:

  • if statements
  • else statements
  • while loop
  • for loop

Functions:

  • Defining a Function
  • Syntax
  • Function Arguments
  • Variable-length arguments
  • Return Statement

Python Modules and Packages:

  • Creating modules
  • The import Statement
  • Namespaces and Scoping

Basic OOPs Concept:

  • Creating class in Python
  • Constructor
  • Inheritance
  • Polymorphism

INTRODUCTION TO JAVA

  • Why Java was Developed
  • Application Areas of Java
  • History of Java
  • Platform Independency in Java
  • USP of Java: Java Features
  • Sun-Oracle Deal
  • Different Java Platforms
  • Difference between JDK,JRE,JVM
  • Java Versions
  • JVM Architecture
  • Installing Java on Windows
  • Understanding Path Variable: Why Set Path
  • Installing Eclipse
  • Installing Netbeans

CREATING FIRST JAVA PROGRAM

  • Understanding Text Editors to Write Programs
  • How to compile java file
  • Byte Code and class file
  • How to run class file

JAVA LANGUAGE FUNDAMENTALS

  • Identifiers
  • Keywords
  • Variables
  • Literals
  • Data Types
  • Operators
  • Comments
  • Looping Statements
  • Condition Statements
  • Type Casting

OOP IMPLEMENTATION

  • Why OOP
  • OOP Concepts with Real life examples
  • Class& it's Syntax
  • Object& it's Syntax
  • Reference Variable
  • Constructors
  • Instance(Non-Static) & Static Variables
  • Instance(Non-Static) & Static Methods
  • this Keyword and it's usages
  • Object & Static Initializers (Anonymous Blocks)
  • inheritance & its Syntax
  • Types of Inheritance
  • Object Class as Root of Java Class Hierarchy
  • Variable Hiding
  • Method Hiding
  • Method Overriding
  • Method Overloading
  • Super keyword and its usages
  • Final keyword and its usages
  • Constructor Chaining
  • Upcasting and Downcasting
  • Static & Dynamic Binding
  • Runtime Polymorphism
  • Abstract Keyword (Abstract classes and methods)
  • Understanding Interfaces
  • Implementation of Encapsulation
  • Association with Implementation

PACKAGES

  • Understanding Packages
  • Setting Classpath
  • Reading Input from Keyboard
  • Access Modifiers
  • With in Package & Outside Package Implements

NESTED TYPES

  • Static Nested Class
  • Non-static Nested Class
  • Local Class
  • Anonymous Class
  • Nested Interface

ARRAYS

  • General Definition of Array Advantages from Array
  • Arrays in Java
  • 1-d Arrays
  • 2-d Arrays
  • Jagged Arrays
  • Array of reference type
  • Operations on Arrays
  • User Define Array & Object Type

COMMAND LINE ARGUMENTS AND WRAPPER CLASSES

  • Wrapper Classes
  • Parsing of Numeric Strings
  • String representation of Primitives

EXCEPTION HANDLING

  • Types of Runtime Errors
  • Understanding Exceptions
  • Exception Class Hierarchy
  • Try & Catch Blocks
  • Patterns of Catch Block
  • Nested Try statements
  • Throw, throws and finally
  • Creating Custom Exceptions
  • Checked & Unchecked Exceptions
  • Assertion

WORKING WITH STRINGS

  • What is String
  • String Class
  • Creating String Object
  • Operations on String
  • String Buffer Class and it's Methods
  • Difference between String and String Buffer class
  • StringBuilder Class and it's Methods
  • Difference between StringBuffer and StringBuilder

SWING

  • Introduction to AWT
  • Introduction to Swing Components
  • Look And Feel of Swing Components
  • MVC Architecture of Swing Components
  • Working with Image
  • Advance Swing Components
  • JOptionPane, JTree, JTable, JTabbedPane
  • JfileChooser, JcolorChooser
  • Menu Components
  • JMenu
  • JMenuitem
  • JMenubar

MULTITHREADED PROGRAMMING

  • Multitasking: Why Concurrent Execution
  • Multiprocessing v/s Multithreading
  • Main Thread (Default Java Thread)
  • Creating Child Threads and understanding context switching
  • Thread States
  • Thread Group
  • Thread Synchronization: Methods and Blocks
  • Inter-Thread communication
  • Daemon Threads
  • Deadlock

I/O STREAMS

  • What is I/O
  • Why Need Streams
  • Byte Streams and Character Streams
  • Read/Write operations with file
  • Scanner Class
  • Object Serialization & Deserialization
  • Transient keyword
  • File Class and its Methods

REFLECTION

  • Understanding the Need of Reflection
  • Getting information about class's modifiers, fields, methods, constructors and superclasses
  • Creating an instance of the class whose name is not known until runtime
  • Getting and setting values of an object's field if field name is unknown until runtime
  • Invoking Private Methods
  • Invoking a method on an object if the method is unknown until runtime

EXTENDED & UTILITY CONCEPTS

  • Generics
  • Lambda Expression
  • Annotations
  • Object Cloning
  • Vargs
  • Static-import
  • Enum
  • Static, Default and Private Methods of Interface
  • Var Type
  • Java Modules
  • Stream API

COLLECTIONS FRAMEWORK

  • What is Collection?
  • What is Framework?
  • Collections Framework
  • Core Interfaces
  • Collection, List, Queue, Deque
  • Set, NavigableSet, SortedSet, Map, NavigableMap, SortedMap
  • Core Classes
  • ArrayList, LinkedList, Priority Queue, ArrayDeque
  • HashSet, LinkedHasSet, TreeSet
  • HashMap, LinkedHashMap, TreeMap
  • Iterator Interface
  • Using Lambda Expressions with Collection

JAVA MEMORY MANAGEMENT

  • JVM
  • JVM Architecture
  • JVM vs JRE
  • Memory Stack & Heap
  • Garbage Collection in Java
  • Memory Management with JVM

FINAL THOUGHTS ON JAVA

  • Recap of Key Java Concepts
  • Future of Java
  • Job Opportunities with Java
  • What is Full Stack Developer ?
  • What does Full Stack Developer involve?
  • Era of Full Stack Developer
  • Business Intelligence vs Full Stack Developer
  • Life cycle of Full Stack Developer
  • Tools of Full Stack Developer
  • Application of Full Stack Developer
  • Introduction
  • Stages of Analytics
  • CRISP DM Data Life Cycle
  • Data Types
  • Introduction to EDA
  • First Business Moment Decision
  • Second Business Moment Decision
  • Third Business Moment Decision
  • Fourth Business Moment Decision
  • Correlation
  • What is Feature
  • Feature Engineering
  • Feature Engineering Process
  • Benefit
  • Feature Engineering Techniques
  • Basics Of Probability
  • Discrete Probability Distributions
  • Continuous Probability Distributions
  • Central Limit Theorem
  • Concepts Of Hypothesis Testing - I: Null And Alternate Hypothesis, Making A Decision, And Critical Value Method
  • Concepts Of Hypothesis Testing - II: P-Value Method And Types Of Errors
  • Industry Demonstration Of Hypothesis Testing: Two-Sample Mean And Proportion Test, A/B Testing
  • Simple Linear Regression
  • Simple Linear Regression In Python
  • Multiple Linear Regression
  • Multiple Linear Regression In Python
  • Industry Relevance Of Linear Regression
  • Univariate Logistic Regression
  • Multivariate Logistic Regression: Model
  • Building And Evaluation
  • Logistic Regression
  • Industry Applications
  • Data mining classifier technique
  • Application of KNN classifier
  • Lazy learner classifier
  • Altering hyperparameter(k) for better accuracy
  • Black box
  • SVM hyperplane
  • Max margin hyperplane
  • Kernel tricks for non-linear spaces
  • Rule based classification method
  • Different nodes for developing decision trees
  • Discretization
  • Entropy
  • Greedy approach
  • Information gain
  • Introduction to Databases
  • How to create a Database instance on Cloud?
  • Provision a Cloud hosted Database instance.
  • What is SQL?
  • Thinking About Your Data
  • Relational vs. Transactional Models ER Diagram
  • CREATE Table Statement and DROP tables
  • UPDATE and DELETE Statements
  • Retrieving Data with a SELECT Statement
  • Creating Temporary Tables
  • Adding Comments to SQL
  • Basics of Filtering with SQL
  • Advanced Filtering: IN, OR, and NOT
  • Using Wildcards in SQL
  • Sorting with ORDER BY
  • Math Operations
  • Aggregate Functions
  • Grouping Data with SQL
  • Using Subqueries
  • Subquery Best Practices and Considerations
  • Joining Tables
  • Cartesian (Cross) Joins
  • Inner Joins
  • Aliases and Self Joins
  • Advanced Joins: Left, Right, and Full Outer Joins
  • Unions
  • Working with Text Strings
  • Working with Date and Time Strings
  • Date and Time Strings Examples
  • Case Statements
  • Views
  • Data Governance and Profiling
  • Using SQL for Data Science
  • How to access databases using Python?
  • Writing code using DB-API
  • Connecting to a database using DB API
  • Create Database Credentials
  • Connecting to a database instance
  • Creating tables, loading, inserting, data and querying data
  • Analysing data with Python
  • Input data & handling large spreadsheets
  • Tricks to get your work done faster
  • Automating data analysis (Excel VLOOKUP, IF Function, ROUND and more)
  • Transforming messy data into shape
  • Cleaning, Processing and Organizing large data
  • Spreadsheet design principles
  • Drop-down lists in Excel and adding data validation to the cells
  • Creating Charts & Interactive reports with Excel Pivot Tables, PivotCharts, Slicers and Timelines
  • Functions like: - COUNTIFS, COUNT, SUMIFS, AVERAGE and many more
  • Excel features: - Sort, Filter, Search & Replace, Go to Special, etc...
  • Importing and Transforming data (with Power Query)
  • Customize the Microsoft Excel interface
  • Formatting correctly for professional reports
  • Commenting on cells
  • Automate data entry with Autofill and Flash-fill
  • Writing Excel formulas & referencing to other workbooks/worksheets
  • Printing options
  • Charts beyond column and bar charts: - Pareto chart, Histogram, Treemap, Sunburst
  • Charts & more
  • Introduction to Data Visualization
  • Tableau Introduction and Tableau Architecture
  • Exploring Data using Tableau
  • Working with Data using Tableau including Data Extraction and Blending
  • Various Charts in Tableau (Basics to Advanced)
  • Sorting-Quick Sort, Sort from Axis, Legends, Axis, Sort by Fields
  • Filtering- Dimension Filters, Measure Filters, Date Filters, Tableau Context Filters
  • Groups, Sets and Combined Sets
  • Reference Lines, Bands and Distribution
  • Parameters, Dynamic Parameters and Actions
  • Forecasting-Exponential Smoothing Techniques
  • Clustering
  • Calculated Fields in Tableau, Quick Tables
  • Tableau Mapping Features
  • Tableau Dashboards, Dashboards Action and Stories
  • Introduction to Power BI – Need, Importance
  • Power BI – Advantages and Scalable Options
  • Power BI Data Source Library and DW Files
  • Business Analyst Tools, MS Cloud Tools
  • Power BI Installation
  • Power BI Desktop – Installation, Usage
  • Sample Reports and Visualization Controls
  • Understanding Desktop & Mobile Editions
  • Report Rendering Options and End User Access
  • Input data & handling large spreadsheets
  • Tricks to get your work done faster
  • Automating data analysis (Excel VLOOKUP, IF Function, ROUND, and more)
  • Transforming messy data into shape
  • Cleaning, Processing, and Organizing large data
  • Spreadsheet design principles
  • Drop-down lists in Excel and adding data validation to cells
  • Creating Charts & Interactive reports with Excel Pivot Tables, PivotCharts, Slicers, and Timelines
  • Functions like: COUNTIFS, COUNT, SUMIFS, AVERAGE, and many more
  • Excel features: Sort, Filter, Search & Replace, Go to Special, etc.
  • Importing and Transforming data (with Power Query)
  • Customize the Microsoft Excel interface
  • Formatting correctly for professional reports
  • Commenting on cells
  • Automating data entry with Autofill and Flash-fill
  • Writing Excel formulas & referencing other workbooks/worksheets
  • Printing options
  • Charts beyond column and bar charts: Pareto chart, Histogram, Treemap, Sunburst, and more
  • Introduction to Data Visualization
  • Tableau Introduction and Tableau Architecture
  • Exploring Data using Tableau
  • Working with Data using Tableau, including Data Extraction and Blending
  • Various Charts in Tableau (Basics to Advanced)
  • Sorting: Quick Sort, Sort from Axis, Legends, Axis, Sort by Fields
  • Filtering: Dimension Filters, Measure Filters, Date Filters, Tableau Context Filters
  • Groups, Sets, and Combined Sets
  • Reference Lines, Bands, and Distribution
  • Parameters, Dynamic Parameters, and Actions
  • Forecasting: Exponential Smoothing Techniques
  • Clustering
  • Calculated Fields in Tableau, Quick Tables
  • Tableau Mapping Features
  • Tableau Dashboards, Dashboard Actions, and Stories
  • Introduction to Power BI – Need, Importance
  • Power BI – Advantages and Scalable Options
  • Power BI Data Source Library and DW Files
  • Business Analyst Tools, MS Cloud Tools
  • Power BI Installation
  • Power BI Desktop – Installation, Usage
  • Sample Reports and Visualization Controls
  • Understanding Desktop & Mobile Editions
  • Report Rendering Options and End User Access
  • Report Design with Database Tables
  • Report Visuals, Fields, and UI Options
  • Reports with Multiple Pages and Advantages
  • Pages with Multiple Visualizations. Data Access
  • “GET DATA” Options and Report Fields, Filters
  • Report View Options: Full, Fit Page, Width Scale
  • Report Design using Databases & Queries

Tools and Technologies You'll Master

Full Stack Developer Job Opportunities in Noida

Noida is home to numerous IT companies, startups, and multinational corporations, making it an ideal location to start your career in Full Stack Developer . According to recent reports:

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10,000+ job openings

Full Stack Developer and related fields in Noida.

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Top Companies

TCS, Accenture, IBM, and Infosys are actively hiring data scientists.

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Average starting salary:

₹6-8 LPA for freshers and ₹15+ LPA for experienced professionals.

What Makes Us the Best Full Stack Developer Institute in Noida?

Stock Price Prediction using Machine Learning

Predict future stock prices using historical data and machine learning algorithms

  • ✅ Use Python and machine learning libraries like Scikit-learn
  • ✅ Work with real-world stock data and clean it
  • ✅ Implement linear regression, decision trees, and time-series analysis
  • ✅ Train models to predict future stock movements

In Collaboration with

Finance Expert
Tools Used
Python Scikit-learn Pandas

Stock Price Prediction using Machine Learning

Predict future stock prices using historical data and machine learning algorithms

  • ✅ Use Python and machine learning libraries like Scikit-learn
  • ✅ Work with real-world stock data and clean it
  • ✅ Implement linear regression, decision trees, and time-series analysis
  • ✅ Train models to predict future stock movements

In Collaboration with

Finance Expert
Tools Used
Python Scikit-learn Pandas

Stock Price Prediction using Machine Learning

Predict future stock prices using historical data and machine learning algorithms

  • ✅ Use Python and machine learning libraries like Scikit-learn
  • ✅ Work with real-world stock data and clean it
  • ✅ Implement linear regression, decision trees, and time-series analysis
  • ✅ Train models to predict future stock movements

In Collaboration with

Finance Expert
Tools Used
Python Scikit-learn Pandas

Stock Price Prediction using Machine Learning

Predict future stock prices using historical data and machine learning algorithms

  • ✅ Use Python and machine learning libraries like Scikit-learn
  • ✅ Work with real-world stock data and clean it
  • ✅ Implement linear regression, decision trees, and time-series analysis
  • ✅ Train models to predict future stock movements

In Collaboration with

Finance Expert
Tools Used
Python Scikit-learn Pandas

Stock Price Prediction using Machine Learning

Predict future stock prices using historical data and machine learning algorithms

  • ✅ Use Python and machine learning libraries like Scikit-learn
  • ✅ Work with real-world stock data and clean it
  • ✅ Implement linear regression, decision trees, and time-series analysis
  • ✅ Train models to predict future stock movements

In Collaboration with

Finance Expert
Tools Used
Python Scikit-learn Pandas

Stock Price Prediction using Machine Learning

Predict future stock prices using historical data and machine learning algorithms

  • ✅ Use Python and machine learning libraries like Scikit-learn
  • ✅ Work with real-world stock data and clean it
  • ✅ Implement linear regression, decision trees, and time-series analysis
  • ✅ Train models to predict future stock movements

In Collaboration with

Finance Expert
Tools Used
Python Scikit-learn Pandas

Build a Career Plan with our Full Stack Developer Training in Noida

Fast-track your career with our comprehensive Full Stack Development Course. Gain industry-relevant skills, hands-on experience, and expert guidance to excel in data analytics, machine learning, and AI. Unlock high-paying opportunities and achieve professional growth faster.

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150%

Maximum salary hike

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70%

Average salary hike

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2900+

Hiring partners

Our Alumni In Top Companies

Amazon Amity JustDial IBM Adobe Walmart Deloitte BlooHash Nasscomm AppInventiv

What Our Learners Have To Say

How to Choose the Best Specialization for Your Full Stack Developer Course

Selecting the right specialization in a Full Stack Developer course is critical for building a strong foundation in this versatile field. With various technologies and career opportunities available, it's essential to pick a path that aligns with your interests and future goals. Here’s how you can decide:

1. Understand the Scope of Full Stack Development Specializations

The field of full stack development encompasses various specializations, such as:

  • Frontend Development: Focus on creating user interfaces and enhancing user experience with technologies like HTML, CSS, JavaScript, and frameworks like React.js or Angular.
  • Backend Development: Involves server-side programming, databases, and APIs using tools like Node.js, Python, PHP, or Java.
  • Database Management: Specialization in handling, designing, and optimizing databases such as MySQL, MongoDB, and PostgreSQL.
  • DevOps and Cloud Integration: Ideal for those interested in CI/CD pipelines, containerization, and cloud platforms like AWS or Azure.
  • Mobile App Development: Learn to build responsive and scalable mobile applications using technologies like Flutter, React Native, or Swift.

Research each specialization to understand the job roles, required skills, and market demand.

2. Assess Your Career Goals

Do you aspire to become a:

  • Frontend Developer: Focused on user experience and design.
  • Backend Developer: Skilled in databases and server management.
  • Full Stack Developer: Proficient in both frontend and backend technologies.
  • Cloud Developer or DevOps Engineer: Specializing in infrastructure automation.

Your career objectives should guide your choice of specialization during your Full Stack Developer Certification.

3. Evaluate Your Skills and Interests

Identify your strengths and passions:

  • If you enjoy creating visually appealing designs: Frontend Development may suit you.
  • If solving logical problems excites you: Backend Development could be the right choice.
  • For those with a holistic approach and adaptability: Full Stack Development offers versatility.

4. Explore the Course Curriculum

Ensure that the Full Stack Development course you choose covers:

  • Foundational concepts: HTML, CSS, and JavaScript.
  • Advanced frameworks: React.js, Angular, Node.js, and Express.js.
  • Database management: MySQL, MongoDB, and PostgreSQL.
  • Hands-on projects: Capstone work and exposure to industry-standard tools.
  • Placement assistance: Mentorship opportunities.

Practical experience and industry-relevant content are critical for success.

5. Stay Updated with Industry Trends

The tech industry is constantly evolving. Emerging trends like Progressive Web Apps (PWA), serverless architecture, and AI-integrated development are reshaping the field. Choose a Full Stack Developer course that integrates modern technologies and practices.

6. Seek Guidance

Connect with industry professionals, alumni, and mentors to gain insights into the best practices and career paths. Their experiences can help you choose the specialization that aligns with your aspirations.

7. Focus on Certification and Recognition

A certification from a reputed Full Stack Development Institute can boost your credibility in the job market. Verify the institute’s accreditation, industry tie-ups, and alumni success stories.

Choosing the right specialization in a Full Stack Developer course can pave the way for a fulfilling and dynamic career. Consider your career goals, skills, and industry demand to make an informed decision. If you're ready to embark on your journey, explore our comprehensive Full Stack Developer courses designed to equip you with the latest skills and tools to succeed in the tech world!

If you’re ready to embark on an exciting career in data analytics, explore our Data Analytics Courses in Noida today. With industry-recognized certifications, expert mentorship, and hands-on training, we provide everything you need to thrive in this competitive field. Let us help you take the first step toward achieving your career aspirations!

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Career Services

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assistance Placement Assistance
job-portal Exclusive access to intellipat job portal
mock-interview Mock Interview Preparation
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Program Benefits

  • Masterclasses delivered by Purdue faculty and staff and IBM
  • Full Stack Developer and GenAI program completion certificate
  • Exposure to ChatGPT, GenAI, prompt engineering, and more
  • Alumni Association Membership from Purdue University
  • Simplilearn’s Career Assistance post program completion

F.A.Q

1. What is the eligibility for this course?

Graduates in any discipline with basic programming knowledge can apply. Even working professionals looking to switch careers can join.

3. Is this course suitable for beginners?

Absolutely! Our Full Stack Developer Course in Noida starts with the basics and gradually moves to advanced topics, making it ideal for beginners and professionals alike.

5. Do you offer placement assistance?

Yes, we at IISTP provide 100% placement support, including resume building, mock interviews, and job referrals to top companies.

7. What is the mode of training?

We offer both online and classroom training. You can choose whichever suits your schedule best.

9. What tools and technologies will I learn in this course?

You’ll gain hands-on experience with tools like Python, R, SQL, Tableau, Power BI, and machine learning frameworks like TensorFlow and Scikit-learn.

11. What are the class timings?

We offer flexible batch timings, including weekday and weekend options, to cater to both students and working professionals.

13. Will I get a certificate after completing the course?

Yes, you will receive an industry-recognized certificate upon successfully completing the course.

15. What kind of projects will I work on?

You will work on real-world projects like predictive analytics, recommendation systems, sentiment analysis, and more, using actual datasets.

17. Is there a demo class available?

Yes, we offer a free demo class to help you understand the course structure and teaching methodology.

19. Are there any scholarships or discounts available?

Yes, we offer scholarships and early-bird discounts of up to 20% for eligible candidates.

2. What career roles can I expect after completing this course?

You can pursue roles such as Data Scientist, Data Analyst, Machine Learning Engineer, Business Analyst, or AI Specialist.

4. Do I need prior programming knowledge to join?

Basic programming knowledge is helpful but not mandatory. We provide foundational programming sessions as part of the course.

6. How can I enroll in the course?

You can enroll by filling out the online registration form or visiting our Noida center. For assistance, contact our support team.

8. What happens if I miss a class?

All sessions are recorded, and you’ll have access to the recordings, so you can revisit any missed classes.

10. Can I switch batches if needed?

Yes, batch switching is allowed based on availability and your convenience.

12. Is this course aligned with industry standards?

Absolutely! Our curriculum is updated regularly to align with the latest industry trends and demands.

14. What is the average salary of a Data Scientist in Noida?

The average starting salary for a Data Scientist in Noida is ₹6-8 LPA, with experienced professionals earning ₹15+ LPA.

16. Can I pay the fees in installments?

Yes, we offer EMI options to make it easier for you to afford the course.

18 How do I know if Full Stack Developer is the right career for me?

If you enjoy solving problems, working with data, and learning new technologies, Data Science could be a perfect fit. Our counselors can help you decide during a free consultation.

20. Will I receive career guidance during the course?

Yes, we provide career counseling, resume preparation, mock interviews, and placement assistance to ensure you are job-ready.