Introduction
Setting up Visual Studio Code
Learning Format
RECORDED LECTURES
with 1:1 MENTORSHIP
Course Duration
134 hours
dedication 10-15 hours/week
Internship
100%
on course completion
Offer Price
₹ 2,999/-
life time course access
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One Time Payment of ₹ 2,999/- is the only transaction you need to do, and you will not just own the course but also groom your career with our 1:1 lifetime mentorship
You heard it right. You may be from an IT/Non-IT background, but we know companies are equally looking for the right skills for their talent team
Industry Standard Courses
Guaranteed Certification on Completion
Guaranteed Internship
1:1 Mentoring by the Industry Experts
Focused Resume Building
Skill Driven Program Architecture
C++
We will teach C++ to build your fundamentals and strong foundation in programming. It is the best language to start with coding.
Curriculum:
C++
Introduction
Setting up Visual Studio Code
Introduction & Skeleton
Input/output, Variables & Data types
Arithmetic Operators & Precedence
Compound Operators, Expressions & Comments
Conditionals, If Else & Switch Case
Assignment 1
Loops - While loops
Loops - DoWhile & For loops
Arrays
Pointers
Assignment 2
Strings using Char Array
Strings using string Class
Assignment 3
Functions in C++ [1]
Functions in C++ [2]
Assignment 4
Structures in C++
OOPs Basics
Class & Objects
Assignment 5
Constructors & Fn Overloading
Class Functions
Operator Overloading
Assignment 6
Inheritance - Introduction
Inheritance - Access Specifiers
Inheritance & Constructors
Types of Inheritance
Inheritance - Pointers & Fn Overriding
Assignment 7
Virtual Fns & Runtime Polymorphism
Abstract Classes & Interface
Friend Fn & Classes
Static Data Members
Static Fns
Nested or Inner Classes
Destructors in C++
Assignment 8
Exception Handling - Introduction
Exception Handling - Syntax & Use
Exception Handling - Nested try, Multiple Catch
Assignment 9
Streams - Introduction
Streams - Syntax (Using in programs)
Assignment 10
Template Fns & Classes
STL - Why do we need STL?
STL - Introduction
STL - Using in Programs
Assignment 11
Python
Python is the best language and very high in demand among employers and big companies. We will be learning this extensively and build high end projects.
Curriculum:
Python
Introduction To The Course
Installing Python And PyCharm
Hello World Program In Python
Some other mathematical operations in Python
Strings In Python
Accepting input from the user in Python
Performing operations on a string in Python
Variables in Python
In place operators in Python.
Writing our very first program in PyCharm
Coding Challenge Part 1
If statement in Python
Elif statement in Python
Introduction to lists in Python
List operations in Python
List functions in Python
Range function in Python
Code reuse and functions in Python
For Loop in Python
Boolean logic in Python
While loop in Python
Passing arguments to functions in Python
Making function return value in Python
Passing functions as arguments in Python
Modules in Python
Errors & exceptions in Python
Exception handling in Python
Finally block
File handling
Reading data from file
Adding data to the file
Appending to a file
Dictionaries
Dictionary Functions
Tuples
List Slicing
List Comprehension
String formatting
String functions
Numeric functions
Functional programming
Lambdas in Python
Map in Python
Filters in Python
Generators in Python
Introduction To Object Oriented Programming, Classes & Objects
Class Methods
Creating A Class & Defining Class Attributes
Instance Attributes & Constructor
Implementing Methods In Object Oriented Programming
Function Based vs OOP Way Of Writing Code
Inheritance
Multiple Inheritance
Multi-level Inheritance
Recursion in Python
Sets
Itertools
Operator overloading in Python
Data hiding in Python
Regular expressions in Python
Search & find all
Find & replace
The dot metacharacter
Caret & dollar metacharacter
Character class
Star metacharacter
Group
Tkinter : Hello world program
Tkinter: Using frames
Tkinter: Grid layout
Tkinter: Self adjusting widgets
Tkinter: Handling button clicks
Tkinter: Using classes
Tkinter: Using drop downs
Tkinter: Toolbar
Tkinter: Making Status Bar
Tkinter: Message box
Tkinter Drawing
Building Calculator App Part 1
Building Calculator App Part 2
Building Calculator App Part 3
Building Calculator App Part 4
Introduction To Databases
Introduction To PostgreSQL
Installing PostgreSQL On Windows
Installing PostgreSQL On Mac
Creating A Database
Creating Table & Adding Data
Reading Data From Database
Setting Up Virtualenv on Mac
Setting Up Virtualenv On Windows
Installing Psycopg2
Connecting To Database With Python Code
Creating Database Tables With Python
Adding Data To Database Tables With Python
User Submitted Data To Database
Creating App Layout
Adding Entries
Saving Entries To Database
Search Functionality
Listing All Entries
Introduction to Data Analysis Using Python
Installing Tools For Data Analysis
Introduction to Pandas & Series
Converting Dictionaries to Series
Introduction to Data Frames
Changing Column Sequence
Changing Columns & Transposing Dataframe
Reindexing Series & DataFrames
Deleting Rows & Coulumns
Arithmetic operations on dataframe and series
Arithmetic operations in between dataframe and series
Sorting series and dataframes
Sorting according to values
Handling duplicate values
Calculating sum, max & min values
Dropping nan values
Loading data from a file
Analyzing file data
Creating Numpy Array
19 Another way to create an array
Logspace & Linspace
Slicing a Numpy Array
Advanced indexing and slicing techniques
Broadcasting
Iterating using ndite
Plotting data using Matplotlib
Analysing Supermarket Sales Data Part 1: Reading CSV File
Analysing Supermarket Sales Data Part 2: Switching Up The Theme
Analysing Supermarket Sales Data Part 3: Accessing Different Parts Of Data
Analysing Supermarket Sales Data Part 4: Selecting Rows On A Condition
Analysing Supermarket Sales Data Part 5: Queries To Find Conditional Data
Analysing Supermarket Sales Data Part 6: Sum, Max, Min & Average
Analysing Supermarket Sales Data Part 7: Using GroupBy To Group Data By Location
Analysing Supermarket Sales Data Part 8: Finding Market Share
Analysing Supermarket Sales Data Part 9: Classifying Shoppers
Analysing Supermarket Sales Data Part 10: Analysing Memberships & Ratings
Analysing Supermarket Sales Data Part 11: Answering Multiple Queries
Analysing Supermarket Sales Data Part 12: Classifying Sales By Day
Analysing Supermarket Sales Data Part 13: Classifying Sales By Month
Analysing Supermarket Sales Data Part 14: Classifying Sales By Hour
Analysing Supermarket Sales Data Part 15: Classifying Payment Types With Hour
Django Tutorial 1: Installing Django on Windows
Django tutorial 2: Creating Our First Django Project
Django tutorial 3: Creating Our Own App
Django tutorial 4: Overview Of an App in Django
Django tutorial 5: Creating Our Own Views in Django
Django tutorial 6: Applying Migrations
Django tutorial 7: Creating Books Table in Django
Django tutorial 8: Final Steps in Creating Table
Django tutorial 9: Adding Data to the Database Tables
Django tutorial 10: Filtering the Results
Django tutorial 11: Admin Pannel in Django
Django tutorial 12: Creating Another View in Django
Django tutorial 13: Connecting to the Database
Django tutorial 14: Creating Templates
Django tutorial 15: Rendering Templates
Django tutorial 16: Raising a 404 Error
Django tutorial 17: Designing The Detail View
Django tutorial 18: Removing The Hardcoded Urls
Django tutorial 19: Namespaces in Django
Django tutorial 20: Using Static Files In Django
Django tutorial 21: Creating Our Navigation Bar
Django tutorial 22: Navigation Bar Touchup
Django tutorial 23: Using Base Templates
Django tutorial 24: Generic Views In Django
Django tutorial 25: Design Touchup
Django tutorial 26: Form To Add Books
Django tutorial 27: Form part -2
Using virtual environment
Django 2 Lecture 1 Creating a project
Django 2 Lecture 2 Creating An App
Django 2 Lecture 3 Overview of an app
Django 2 Lecture 4 Creating a View
Django 2 Lecture 5 Applying Migrations
Django 2 Lecture 6 Creating Models
Django 2 Lecture 7 Creating Database Tables
Django 2 Lecture 8 Adding Data To Database
Django 2 Lecture 9 Filtering Results
Django 2 Lecture 10 Creating A Super User
Django 2 Lecture 11 Creating Another View
Django 2 Lecture 12 Connecting To The Database
Django 2 Lecture 13 Creating Templates
Django 2 Lecture 14 Using Render
Django 2 Lecture 15 Raising 404 Error
Django 2 Lecture 16 Designing The Detail View
Django 2 Lecture 17 Removing Hard Coded URLs
Django 2 Lecture 18 Using Namespaces
Django 2 Lecture 19 Using Static Files
Django 2 Lecture 20 Designing Navbar
Django 2 Lecture 21 Navbar Touchup
Flask Tutorial 1: Creating Directory Structure
Flask Tutorial 2: Hello world
Flask Tutorial 3: Routing
Flask Tutorial 4: Variables
Flask Tutorial 5: Dynamic Urls
Flask Tutorial 6: Passing Data To The Server
Flask Tutorial 7: Templates
Flask Tutorial 8: Templates Passing Data
Flask Tutorial 9: Using Templates
Flask Tutorial 10: Passing Form Data To Templates
Flask Tutorial 11: Using Cookies
Introduction to API
Building a basic REST API using Django REST Framework
Creating API Endpoints
Adding Image Field
Filtering
Search functionality
API Authentication
Python Web Crawler Part -1
Python Web Crawler Part -2
Python Web Crawler Part -3
Python Web Crawler Part -4
Python Web Crawler Part -5
Python Web Crawler Part -6
Python Web Crawler Part -7
Python Web Crawler Part -8
Python Web Crawler Part -9
Python Web Crawler Part -10
Python Web Crawler Part -11
Python Web Crawler Part -12
Python Web Crawler Part -13
Python Web Crawler Part -14
Python Web Crawler Part -15
Python Web Crawler Part -16
Python Web Crawler Part -17
Python Web Crawler Part -18
Python Web Crawler Part -19
Introduction to Selenium
Installing Selenium
Opening a URL
Automating Google Search
Find Elements By XPATH
Clicking Links
Refreshing a Webpage
Using Forward and Backward Navigation Buttons
Scrolling and Getting the Current URL
Building A Facebook Auto Poster
Writing Clean Python Code: Best Practices part 1
Writing Clean Python Code: Best Practices part 2
Writing Clean Python Code: Best Practices part 3
Writing Clean Python Code: Best Practices part 4
Writing Clean Python Code: Best Practices part 5
IP Address
Ports & Sockets
Creating A Client
Sending Messages
Using Buffer
Building The Messaging Functionality
Sending Messages To Client
Programming Send Functionality
Completing Our Chat App
Introduction To OpenCV
Installing OpenCV
Reading & Displaying Images
Capturing Video From Webcam
Drawing Shapes On Images
Mouse Callback Events
Manipulating Pixels
Color Spaces In OpenCV
Object Tracking In Images
Object Tracking In Videos
Simple Thresholding
Simple Thresholding Implementation
Adaptive Thresholding
Adaptive Thresholding Implementation
Geometric Transformation Of Images
Geometric Transformation Of Images Implementation
Image Blurring
Image Blurring Implementation
Averaging
Gaussian Filtering
Updating entries in Django with UpdateView
Bootstrap part 1: Introduction To Bootstrap
Bootstrap Part 2: Adding Bootstrap To Our Site
Bootstrap Part 3: Bootstrap Grid System
Bootstrap Part 4: Grid Classes Part 1
Bootstrap Part 5: Grid Classes Part 2
Bootstrap Part 6: Grid Column Offset
Bootstrap Part 7: Making Images Responsive
Bootstrap Part 8: Nesting of Rows & Columns
Introduction to Regular Expressions & Raw Strings
Search & Match Methods
Introduction To Meta Characters
Introduction To Plus Meta Character
Plus Meta Character Example
Introduction To Curly Braces
Curly Braces Example
Introduction To Wildcard
Wildcard Example
Optional Meta Character
Caret Meta Character
Character Classes Part 1
Character Classes Part 2
Conclusion
Data Structure & Algorithm
DSA is the most important thing to crack interviews, this is the thing on which you will be judged about your skills. We will be learning it together extensively with many assignments to practice and master it.
Curriculum:
DSA
Introduction to the Course
Setting Up the environment
Static Memory Allocation
Dynamic memory allocation
Physical and logical data structures
ADT
Space and time complexity
How recursion works, Generalization, Recursion and stack
Recurrence relation and time complexity
Code recursion
Static and global variables in recursion and code
Tail recursion
Head recursion
Tree recursion
Indirect recursion
Nested recursion
Sum of natural numbers using recursion
Factorial using recursion
Power using recursion
Taylor series using recursion approach-1
Taylor series using recursion approach-2
Fibonacci series using recursion
nCr using recursion
Tower of hanoi
Tower of Hanoi implementation
Introduction, Declaration, Demo
Static array vs dynamic array, CODE
Increase array size, CODE
2D array
2D array DEMO
Array representation by compiler
Row major formula for 2d arrays
Column major formula for 2d arrays
Formulas for nD arrays
Formulas for 3D arrays
Array ADT
Array ADT - Demo
Inserting in array
Inserting in array - DEMO
Deleting from array
Deleting from array - DEMO
Linear search
Linear search - DEMO
Binary search
Binary search - DEMO
Get, set, avg, max functions
Get, set, avg, max functions DEMO
Merging array
Mergin array demo
Check if an array is sorted
Check if an array is sorted - DEMO
Set operations on arrays
Single missing element in sorted array
Multiple missing element in sorted array
Finding duplicates in sorted array
Finding duplicates in unsorted array
Reverse an array
Reverse array DEMO
Find duplicates in sorted array usign hashing
Find a pair of elements with sum as K in unsorted array
Find a pair of elements with sum as K in sorted array
Find max and min in one scan
String introduction
Length of string
Changing case of a string
Counting words and vowels
Validating a string
Reversing a string
Comparing two strings and palindrome
Finding duplicates
Check if two strings are anagrams
Permutations of a given string
Diagonal matrix
Diagonal matrix DEMO
Class for diagonal matrix
Class for diagonal matrix - DEMO
Lower triangular matrix
Lower triangular matrix code
Upper triangular matrix
Symmetric matrix
Tri digonal and tri band matrix
Toeplitz marix
C++ class for matrix
Sparse matrix representation
Sparse matrix addition
Creation of Sparse matrix
Addition of sparse matrix
Sparse matrix using
Polynomials
Why need dynamic DS LL
Linked list introduction
Display linked list
Display linked list code
Counting nodes and sum of all elements of linked list
Counting nodes and sum - DEMO
Max element in linked list
Max element in linked list - DEMO
Searching in linked list
Searching in linked list - DEMO
Insertion
Insertion - DEMO
Insertion in sorted list
Insertion in sorted list - DEMO
Check if list is sorted
Check if list is sorted - DEMO
Deletion
Deletion - DEMO
Reverse a linked list
Concatinating two linked lists
Checking for a LOOP
Checking for LOOP - DEMO
CLL Introduction
CLL Introduction - DEMO
Insertion in CLL
Deletion in CLL
CLL insertion and deletion - DEMO
Doubly linked list - Introduction
Insert in DLL
Delete in DLL
DLL - DEMO
Circular doubly linked list
Comparision of linked lsits
Max element in LL
Creating a LL using insert
Creating a LL by inserting at last
Removing duplicates from sorted LL
Removing duplicates from sorted LL DEMO
Recursive reverse for LL
Reversign a LL DEMO
Reverse a doubly LL DEMO
Polynomial representation using LL
Polynomial representation using LL DEMO
Stack introduction
Stack using array - DEMO
Stack using linked list
Parenthesis matching
Parenthesis matching - DEMO
Infix to postfix conversion
Infix to postfix - DEMO
Evaluation of postfix expression
Postfix evaluation - DEMO
Stack using LL - DEMO
Queue introduction
Queue insertion and deletion - DEMO
Drawback of queue using array
Circular queue
Circular queue - DEMO
Queue using linked list
Queue using LL - DEMO
Priority queue
Double ended queue DEQUE
Double ended queue DEQUE - DEMO
Tree - terminology
Height vs nodes formulas
Internal and external nodes
Strict binary tree
n-ary trees
Representation of binary tree
Full vs complete binary tree
Strict vs complete binary tree
Creating a tree
Creating Binary tree DEMO
Binary tree traversals
Iterative traversals DEMO
Level order traversal DEMO
Generate binary tree from traversals
Generate BT from traversals DEMO
Height and count of BT DEMO
Count leaf nodes in BT DEMO
Searching in BST
Inserting in BST
Creating a BST
BST DEMO
Deleting from BST
BST drawbacks
Generate BST from preorder
AVL tree introduction
Insertion in AVL with rotations
General form of AVR rotations
Generating AVL tree
Height analysis AVL trees
AVL rotations DEMO
2,3 trees
2,3,4 trees
Red black trees
Red black tree creation
Red black trees vs 2-3-4 trees
Red black tree deletion
Heap introduction
Heap insertion
Heap insertion - DEMO
Heap creation
Heap element deletion
Heap sort - DEMO
Heapify
Heap as priority queue
Bubble sort
Bubble sort DEMO
Insertion sort
Insertion sort DEMO
Selection sort
Selection sort DEMO
Quick sort
Quick sort DEMO
Merge sort
Merge sort DEMO
Hashing introduction
Chaining
Chaining - DEMO
Linear probing - Quadratic probing
Linear probing - DEMO
Hash function ideas
Graphs terminology
Representation of undirected graph
Representation of directed graph
Breadth first search
BFS DEMO
Depth first search
DFS - Demo
Minimum cost spanning tree
Prims algorithm
Prims algorithm DEMO
Kruskal_s algorithm
Kruskal algorithm DEMO
Asymptotic notations
Competitve Programming
Competitive programming is needed to hone your skills in coding and crack interviews of very good companies. Once you indulge in it it will be like an addiction but a good one :)
Curriculum:
cp
Introduction to the Course
What is Competitive Programming
Competitive Programming Competitions
Websites for Competitive Programming
Terminologies in Competitive Programming
Choosing a Programming Language
Taking Input & Output in Competitive Programming Contests
Cout vs Printf
Endl vs Back n
Fast cin cout Methods _ Conclusion
Time Complexity in Competitive Programming
Calculating Time Complexity of Code
Importance of English in Competitive Programming
Introduction to STL in C++
Standard Array
Standard Vector
Standard Set
Standard Multiset
Standard Map
Standard Multimap
Standard Pair
Standard Forward List
Standard List
Standard Unordered Set
Standard Unordered Multiset
Unordered Map and Unordered Multimap
Standard Stack
Standard Queue
Standard Priority Queue
Standard Deque
Importance of Bit Manipulation Techniques
Basic Binary Operations
Bit Operations in C++
Check ith bit is SET or NOT SET
Toggle ith bit
Check odd or even using bits
Check if Number is Power of 2
Need for Modulo 10^9 + 7
Modulo Arithmetic
[A3.1] Problem XOR ORED
[A3.2] Solution - XOR-ORED
[A3.3] Solution with Code - XOR-ORED
Introduction to Graphs
Weights in Graphs
Why Study Graphs
Edge List
Adjacenty Matrix
Adjacenty List
DFS Traversal
Implementing DFS Traversal
BFS Traversal
Implementing BFS Traversal
Minimum Spanning Tree
Concept of Kruskal_s Algorithm
Concept of Prim_s Algorithm
Concept of Dijkstra Algorithm
[A4.1] Problem - CHFPLN
[A4.2] Solution - CHFPLN
[A4.3] Solution with Code - CHFPLN
Sum of Updated Range Problem
Solving Sum of Range Problem with Segment Trees
Segment Trees - Update Queries
Segment Trees - Calculate Sum
Implementing Segment Tree - Part 1
Implementing Segment Tree - Part 2
Problem - Range Minimum Query
Implementing Range Minimum Query
Implementing Segment Tree - Tricks
Lazy Propagation in Segment Trees - Part 1
Lazy Propagation in Segment Trees - Part 2
Implementing Lazy Propagation in Segment Trees - Part 1
Implementing Lazy Propagation in Segment Trees - Part 2
Problem - Xenia and Bit Operations
Solution - Xenia and Bit Operations
Solution with Code - Xenia and Bit Operations
Problem - Circular RMQ
Solution with Code - Circular RMQ - Part 1
Solution with Code - Circular RMQ - Part 2
Introduction to Backtracking
N Queens Problem Explained
N Queens Solved
Knights Tour Problem Explained
Knight's Tour Solved
Rat in Maze Problem Explained
Rat in Maze Solved
Problem Richie Rich
Solving Richie Rich
Problem False Number
Solving False Number
Introduction to Greedy Algorithms
Understanding Greedy with Fractional Knapsack Problem
Solving Fractional Knapsack Problem
Tasks and Deadlines Problem
Solving Tasks and Deadlines Problem
Optimal File Merging Problem
Solving Optimal File Merge Patterns Problem
Huffman Coding
[A7.1] Problem - Dragons
[A7.2] Solution with Code - Dragons
[A7.3] Problem - Little Elephant and Bits
[A7.4] Solution with Code - Little Elephant and Bits
Introduction to Dynamic Programming
Top down vs Bottom Up
Fibbonacci Problem Top Down
Implementing Fibonnaci with DP
2D Grid Traversal Problem
Implementing 2D Grid Traversal Problem
Understanding Memoization
Fibbonacci with Tabulation
Implementing Fibbonacci with Tabulation
2D Grid Traversal Problem with Tabulation
Implementing 2D Grid Traversal Problem with Tabulation
Understanding Tabulation
[A8.1] Problem - Subset Sum Problem
[A8.2] Solving - Subset Sum Problem
Binary Lifting (Kth Ancestor of a Tree Node)
LCA (Lowest Common Ancestor) Problem
Fenwick Trees - Introduction
Fenwick Trees - Sum of Range (Range Find Query)
Fenwick Trees - Update (Point Update Query)
Problem - Distance between nodes in Trees
Solution - Distance between nodes in Trees
Implementing Fenwick Trees
Implementing Binary Uplifting
Implementing LCA
Solution with Code - Distance between nodes in Trees
Very important to crack interviews for startups.
We will help you to make the best resume you can.
Get guranteed one month internship with minimum stipend of ₹5ooo/month on completing the course along with all the assigmnets & projects
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I was surfing through internet for some opportnuties in Full Stack Development, but was not able to get the idea to land on one. And I found my skills to be a bit lacking. There I found this webinar and I can proudly tell that I have not only acquired my lagging skills but also backed up a much desired internship.
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Learning Flexibility | |||
Instant Doubt Solving | |||
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Dedicated Projects | |||
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