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Here are the best resources to pass DAA. Find DAA study guides, notes, assignments, and much more.

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Data Analysis and Algorithms – Complete Topic Coverage
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July 2025
This document provides a overview of all major topics in Data Analysis and Algorithms (DAA), including concepts, algorithm design strategies, and performance analysis. It covers topics like algorithm analysis and data structures, and advanced strategies such as divide&conquer, greedy algorithms, dynamic programming greedy algos etc
anshisharma
$32.99 More Info

Class notes

Data Analysis and Algorithms – Graph Algorithms & Computational Complexity
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July 2025

2024/2025
This document explores essential graph algorithms and the fundamentals of computational complexity. Topics include depth-first search (DFS), breadth-first search (BFS), Dijkstra's and Kruskal's algorithms, along with complexity classes such as P, NP, and NP-complete. It is designed for students studying computer science or data analysis, especially those preparing for exams or tackling advanced algorithm challenges.
anshisharma
$10.49 More Info

Class notes

Data Analysis and Algorithms – Dynamic Programming
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15

July 2025

2024/2025
This document covers the key principles of dynamic programming, including memoization, tabulation, and optimal substructure. It presents detailed solutions to classical problems such as Fibonacci sequence, knapsack problem, longest common subsequence (LCS), and matrix chain multiplication. The notes are ideal for students in computer science and data analysis courses looking to master dynamic programming for exams and coding interviews.
anshisharma
$10.49 More Info

Class notes

Data Analysis and Algorithms – Divide and Conquer & Greedy Strategies
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18

July 2025

2024/2025
This document explains the divide and conquer paradigm and greedy algorithm strategies in the context of data analysis and algorithm design. It includes definitions, step-by-step breakdowns of classic problems like merge sort, quicksort, binary search, Huffman coding, and activity selection. The content is tailored for computer science students learning algorithmic techniques for optimization and problem-solving.
anshisharma
$10.49 More Info

Class notes

Data Analysis and Algorithms – Introduction to Algorithms
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13

June 2025

2024/2025
This document provides a comprehensive summary of the foundational concepts in data analysis and introductory algorithms. It covers algorithmic thinking, types of algorithms (searching, sorting, recursive), Big O notation, and basic data structures like arrays and linked lists. It is ideal for students beginning a computer science or data science course, especially those preparing for algorithm-heavy exams or assignments.
anshisharma
$10.49 More Info