Data Structures And Algo.

Complete Overview Of The Course

Buy Course

Topics Covered

Introduction , Installation and Pseudo Codes
  • Learn from the very basics “the background” of Analysis of Algorithms
Variables, Operators and Data Types
  • Learn how to use various Variables and Operators like Assignment Operator and Relational Operators.
Conditional Statements And Loops
  • Acquire Knowledge of Ternary Operators and statements like if, if else, 
  • how to run a loop in the code. Make a billing statement using code. Acquire knowledge about flow control
Patterns, Functions And Methods
  • Gain understanding some basic patterns asked in FAANG , MAANG companies 
  • Acquire Knowledge about Parameters and Arguments , Functions Overloading and much more
Arrays
  • Master Arrays from its Introduction and Operations to solving problems like Stock Buy and Sell, Trapping Rain Water, etc
Time And Space Complexity + Sorting
  • Sort out your sorting concepts and learn about the important sorting techniques like Insertion sort, Quick sort and Merge Sort and their complexities
2D Arrays
  • Learn Strings form its Introduction and Methods to popular problem tutorials on Rabin Karp Algorithm, KMP algorithm, etc 
  • Learn about Binary AND , OR, XOR operations and much more. 
String + Bit Manipulation
  • Polylines & Arcs 
  • Polygons & Ellipses
Recursion
  • Learn basics of recursion and solve classical problems like Tilling problem , Friends Pairing Problem and their stack analysis
BackTracking, ArrayList, LinkedList,
  • Learn about backtracking on arrays Solve popular problems like Sudoku Solver, N Queens , Find Permutations and much more
  • Gain understanding operations on ArrayList 
  • Solve classical problems like Container with most water, Pair – Sum 1 and much more.
  • Learn about Singly, Doubly and Circular Linked List from Introduction to implementation
  • Gain knowledge of important concept like Merge Sort on LL, ZigZag Linked list
Stacks And Queue
  • Gain understanding of Stack from Introduction, application to implementation Learn from problems like Balanced Parenthesis, Stock Span Problems, Infix, Prefix and Postfix expressions etc 
  • Acquire Knowledge of Queue with important example tutorials on Reversing a Queue, Generate numbers with given digits and much more
Heap, Hashing, Tree and Graphs
  • Learn concepts related to Min Heap, Max Heap, Priority Queue and solve related problems
  •  Acquire concepts of HashMap, HashSet, TreeMap and much more Solve problems like Majority Element, Valid Anagram and much more
  • Learn about Tree concepts like representation, search, insert and delete with related problems 
  • Gain understanding of foundational concepts like Graph Representation, BFS, DFS, etc 
  • Learn about the popular Prim’s, Dijkstra, Kosaraju algorithms and much more with tutorials and problems.
Dynamic Programming
  • Build a strong foundation of DP memoization and tabulation techniques Master DP with problems like LCS, Coin Change, Climbing Stairs, 0- 1 knapsack and much more.
Segment Trees
  • Get acquainted with Segment tree concepts with example problems
Learn How to Build Projects
  • Minor project 
  • Major project

Important Course Highlights

  • Pre – Recorded Content.
  • Live Group Q&A Session.
  • Course Community.
  • Unlimited Lifetime Access.
  • Internship Opprtunity.
  • Certificate Of Completion.
  • 00Hours
  • 00Minutes
  • 00Seconds

Course Description

Whether you’re a beginner or a professional looking to enhance your skills, this course offers a comprehensive guide to mastering Data Structures and Algorithms. Perfect for those in management roles or looking to enter the tech industry.

Course Content

Why Choose Us?

What You Will Learn By This Course

Data Structures and Algos.

Data Structures and Algos.

Programming Language

Programming Language

Critical Thinking

Critical Thinking

Certificates

Our Mentors

Our Programs

How Can We Help You

What are the prerequisites for enrolling in the DSA Course?

Basic programming knowledge in Python/Java and a fundamental understanding of mathematics, particularly linear algebra and calculus, are recommended. No advanced prerequisites are required.

Who should take this machine learning course?

This course is ideal for beginners wanting to enter the field of programming, data enthusiasts looking to deepen their knowledge, career changers transitioning into data science, and professionals seeking to enhance their skills in programming.

What topics are covered in DSA course?

Mentioned on the top left corner tab.

How long is this course

The course typically spans 6-8 weeks, depending on your pace, including lectures, assignments, and hands-on projects.

Will I recieve a certificate on completion of this course?

Yes, you will receive a certificate of completion and a Letter of Recommendation upon successfully finishing the course and all required assignments and projects.