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Data Structures and Algorithms – Course 1

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Data Structures and Algorithms – Course 1 (Size: 1 MB)
  0 102.4 B
  1. Analysis of Algorithms - Running Time.mp4 37 MB
  1. Analysis of Algorithms - Running Time.srt 17.8 KB
  1. Arrays - Introduction.mp4 60.2 MB
  1. Course Overview.srt 5.1 KB
  1. Linked List - Introduction.mp4 20.7 MB
  1. Linked List - Introduction.srt 9.1 KB
  1 371.5 KB
  1. Arrays - Introduction.srt 15 KB
  1. Course Overview.mp4 11.5 MB
  10. Why Floyd's Cycle detection works.mp4 21.5 MB
  10. Why Floyd's Cycle detection works.srt 7.1 KB
  11. Find the beginning of Loop in Linked List.mp4 62.9 MB
  11. Find the beginning of Loop in Linked List.srt 62.9 MB
  2. Arrays in C++, Java, Python.mp4 35.6 MB
  2. Arrays in C++, Java, Python.srt 7.8 KB
  2. Asymptotic Analysis of Algorithms.mp4 33.4 MB
  2. Asymptotic Analysis of Algorithms.srt 10.2 KB
  2. Linked List - Advantages and Disadvantages.mp4 19.3 MB
  2. Linked List - Advantages and Disadvantages.srt 7.2 KB
  2. What are data structures and algorithms.srt 10.5 KB
  2 256.9 KB
  2. What are data structures and algorithms.mp4 24.2 MB
  3 108.4 KB
  3. Big O notation.mp4 47.9 MB
  3. Big O notation.srt 11.7 KB
  3. Exercise Build Array from Permutation.mp4 28.5 MB
  3. Exercise Build Array from Permutation.srt 4.8 KB
  3. Linked List - Representation and Traversal.mp4 43.9 MB
  3. Linked List - Representation and Traversal.srt 11.4 KB
  4. Big Omega notation.srt 9.5 KB
  4. Exercise Concatenation of Array.mp4 40.3 MB
  4. Exercise Concatenation of Array.srt 6.3 KB
  4 135.5 KB
  4. Big Omega notation.mp4 34.4 MB
  4. Linked List - Insertion cases and Code.mp4 71.6 MB
  4. Linked List - Insertion cases and Code.srt 15.6 KB
  5. Big Theta Notation.mp4 35.1 MB
  5. Big Theta Notation.srt 8.5 KB
  5 344.3 KB
  5. Linked List - Deletion.mp4 15.5 MB
  5. Linked List - Deletion.srt 6.4 KB
  5. Running Sum of 1d Array.mp4 71.2 MB
  5. Running Sum of 1d Array.srt 5.8 KB
  6 110.7 KB
  6. Dynamic Arrays - Introduction.mp4 34.2 MB
  6. Dynamic Arrays - Introduction.srt 11 KB
  6. Linked List - Search a key.mp4 15.4 MB
  6. Linked List - Search a key.srt 5.6 KB
  7. Assignment 1.html 204.8 B
  7. Find Kth Node from end of a Linked List.mp4 39.1 MB
  7. Find Kth Node from end of a Linked List.srt 11.5 KB
  7 133.1 KB
  8 198.7 KB
  8. 2D Arrays.mp4 77.8 MB
  8. 2D Arrays.srt 20.6 KB
  8. Find Middle of a Linked List.mp4 35.4 MB
  8. Find Middle of a Linked List.srt 11.1 KB
  9. Detect Loop in Linked List.mp4 38.5 MB
  9. Detect Loop in Linked List.srt 12.5 KB
  9. Flipping an Image.html 204.8 B
  TutsNode.com.txt 102.4 B
  [TGx]Downloaded from torrentgalaxy.to .txt 614.4 B
  9 390 KB
  10 5.3 KB
  11 10.3 KB
  12 380.9 KB
  13 94.8 KB
  14 435.9 KB
  15 137.1 KB
  16 285.6 KB
  17 60.8 KB
  18 102.4 B
  19 355.8 KB
  20 497.9 KB
  21 281.4 KB
  22 202.1 KB
  23 496.1 KB
  24 79.8 KB
  ▲ 79 total files

Description


Description

In this course we will understand different data structures and how to use them effectively for solving problems. It is expected that the students have basic experience in any high-level programming language. Data structures and algorithms are a crucial part of programming interviews. This course is Part-1 of a 2 course series on Complete data structure and algorithms. The main focus here will be mastering the Data structures, implementing those and some problems explaining application of those data structures. The next part will cover different programming paradigms, analysis of algorithms and applying different data structures learnt in part 1. So, part 1 acts as a foundation for part 2.
In this part, we will cover the following topics:

Time and Space complexity of algorithms
Arrays,
Linked Lists,
Trees – Representation, binary trees, binary search trees, balanced binary search trees, and related problems
Stacks and Queues,
Heaps,
Graphs – representation, traversal of graph using breadth-first search, depth first search, graph algorithms
Hash Table,
Tries

A good understanding of data structures and algorithms is very crucial for programming interview. After completing this course you should be able to understand which data structures and algorithms should be used to solve a problem and why. It will not only prepare you for your coding interviews, but also make you a better programmer in general.

So, let’s get started.
Who this course is for:

Software Engineers
Computer Science students
Data Scientists

Requirements

Basic programming skill in any laguage

Last Updated 10/2021

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