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Make Money Online Learn Data Structures and Algorithms

No Previous Knowledge or Experience Needed

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Instructor: Ankur Kumar Varshney

This Online Coaching Includes

$600 | ₹48,000

What You Will Learn In This

UNIT-1

Introduction: Basic Terminology, Elementary Data Organization, Built in Data Types in C.
Algorithm, Efficiency of an Algorithm, Time and Space Complexity, Asymptotic notations: Big
Oh, Big Theta and Big Omega, Time-Space trade-off. Abstract Data Types (ADT) Arrays:
Definition, Single and Multidimensional Arrays, Representation of Arrays: Row Major Order, and
Column Major Order, Derivation of Index Formulae for 1-D,2-D,3-D and n-D Array Application
of arrays, Sparse Matrices and their representations. Linked lists: Array Implementation and
Pointer Implementation of Singly Linked Lists, Doubly Linked List, Circularly Linked List,
Operations on a Linked List. Insertion, Deletion, Traversal, Polynomial Representation and
Addition Subtraction & Multiplications of Single variable & Two variables Polynomial.

UNIT-2

Stacks: Abstract Data Type, Primitive Stack operations: Push & Pop, Array and Linked Implementation of Stack in C, Application of stack: Prefix and Postfix Expressions, Evaluation of postfix expression, Iteration and Recursion- Principles of recursion, Tail recursion, Removal of recursion Problem solving using iteration and recursion with examples such as binary search, Fibonacci numbers, and Hanoi towers. Tradeoffs between iteration and recursion. Queues: Operations on Queue: Create, Add, Delete, Full and Empty, Circular queues, Array and linked implementation of queues in C, De-queue and Priority Queue.

UNIT-3

Trees: Basic terminology used with Tree, Binary Trees, Binary Tree Representation: Array Representation and Pointer(Linked List) Representation, Binary Search Tree, Strictly Binary Tree ,Complete Binary Tree . A Extended Binary Trees, Tree Traversal algorithms: Inorder, Preorder and Postorder, Constructing Binary Tree from given Tree Traversal, Operation of Insertion , Deletion, Searching & Modification of data in Binary Search . Threaded Binary trees, Traversing Threaded Binary trees. Huffman coding using Binary Tree. Concept & Basic Operations for AVL Tree, B Tree & Binary Heaps.

UNIT-4

Graphs: Terminology used with Graph, Data Structure for Graph Representations: Adjacency Matrices, Adjacency List, Adjacency. Graph Traversal: Depth First Search and Breadth First Search, Connected Component, Spanning Trees, Minimum Cost Spanning Trees: Prims and Kruskal algorithm. Transitive Closure and Shortest Path algorithm: Warshal Algorithm and Dijikstra Algorithm.

UNIT-5

Searching: Concept of Searching, Sequential search, Index Sequential Search, Binary Search. Concept of Hashing & Collision resolution Techniques used in Hashing. Sorting: Insertion Sort, Selection, Bubble Sort, Quick Sort, Merge Sort, Heap Sort and Radix Sort.

Who Is This For

This Data Structures and Algorithms course is designed for:

Students and Beginners

Computer Science Students: Ideal for undergraduates studying computer science or related fields.
Programming Beginners: Those new to programming who want to build a solid foundation in core concepts.

Professionals and Developers

Software Engineers: Professionals looking to enhance their problem-solving and coding skills.
Developers Preparing for Interviews: Candidates preparing for technical interviews at top tech companies.

Career Switchers

Non-Technical Backgrounds: Individuals with non-technical backgrounds aiming to transition into software development or data science roles.

Competitive Programmers

Contest Participants: Individuals interested in participating in coding competitions and improving their algorithmic problem-solving abilities.

Lifelong Learners

Enthusiasts: Anyone with a passion for learning and mastering data structures and algorithms to solve complex problems efficiently.

This course is designed to cater to a wide range of learners, from those just starting their programming journey to seasoned professionals seeking to deepen their understanding and skills in data structures and algorithms.

Course Description: Data Structures and Algorithms

Overview

This comprehensive course on Data Structures and Algorithms is designed to equip you with the essential knowledge and skills needed to excel in computer science and software development. Whether you’re a student, a professional developer, or someone looking to transition into the tech industry, this course provides a solid foundation in the principles and practices of efficient problem-solving.

What You’ll Learn

Fundamentals of Data Structures: Understand and implement core data structures such as arrays, linked lists, stacks, queues, trees, graphs, and hash tables.
Algorithmic Techniques: Master key algorithms for sorting, searching, dynamic programming, greedy methods, and backtracking.
Complexity Analysis: Learn to evaluate the efficiency of algorithms using Big O notation and other complexity analysis tools.
Advanced Topics: Explore advanced data structures and algorithms, including balanced trees, heaps, and graph algorithms, depending on the course depth.
Practical Applications: Apply your knowledge to solve real-world problems and coding challenges through hands-on projects and exercises.
Interview Preparation: Gain the skills needed to excel in technical interviews and competitive programming contests.

Who This Course Is For

Computer Science Students: Undergraduates studying computer science or related fields.
Programming Beginners: Individuals new to programming who want to build a strong foundation.
Software Engineers: Professionals looking to enhance their coding and problem-solving skills.
Interview Candidates: Developers preparing for technical interviews at top tech companies.
Career Switchers: People with non-technical backgrounds aiming to transition into tech roles.
Competitive Programmers: Those interested in participating in coding competitions.
Enthusiasts: Lifelong learners passionate about mastering data structures and algorithms.

Why Take This Course

By the end of this course, you will have a robust understanding of data structures and algorithms, enabling you to write efficient code and tackle complex programming challenges. You’ll be well-prepared for technical interviews, competitive programming, and real-world software development projects.

Course Features

Comprehensive Curriculum: Covering all essential data structures and algorithms.
Hands-On Learning: Practical exercises and projects to reinforce learning.
Expert Instructors: Learn from experienced professionals and educators.
Flexible Learning: Suitable for self-paced learning or structured classroom environments.

Join this course to build a strong foundation in data structures and algorithms, and take your problem-solving and coding skills to the next level.