CF

Algorithms and Data Structures for Beginners

8h 22m 4s
English
Paid

Before starting the course, let’s go a little bit over what will be taught, who it is for and what you will need to succeed.

This course covers all of the fundamental data structures and algorithms required to succeed in technical interviews.

Who is this course for?

If you are someone who is a beginner, this course is for you. If you need a refresher, or are trying to switch careers, this course is also for you.

Content of the course

In technical interviews, you will be expected to code up an efficient algorithm, talk comfortably about the design, analysis and tradeoffs of a specific algorithm. Being able to succinctly perform these tasks in a timely fashion and communicate your ideas in a coherent manner is what can make the difference in thousands of dollars of compensation.

Topics Covered

  1. Arrays
  2. Linked Lists
  3. Recursion
  4. Sorting
  5. Binary Search
  6. Trees
  7. Backtracking
  8. Heap/Priority Queue
  9. Hashing
  10. Graphs
  11. Dynamic Programming
  12. Bit Manipulation

Let’s get started when you are ready.

About the Author: NeetCode

NeetCode thumbnail

NeetCode (neetcode.io) is the technical-interview-preparation platform of Navi (formerly an engineer at Google), behind one of the larger DSA-focused YouTube channels online. NeetCode's distinctive contribution is the curated NeetCode 150 and NeetCode 250 problem lists — pattern-grouped sets of LeetCode questions that have become a default reference for engineers preparing for the algorithm portion of senior tech-company interviews.

The course catalog covers algorithms and data structures in depth, system design for senior interviews, the OOP / design-patterns material that shows up in low-level design rounds, and the broader interview-prep landscape. Material is taught in Python, Java, and JavaScript with the same problem solved across multiple languages.

The CourseFlix listing under this source carries 7 NeetCode courses spanning that range. Material is paid; NeetCode runs on per-course or membership pricing on the original platform. Courses are aimed at engineers preparing for technical interviews at large tech companies.

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#1: 0. Introduction
All Course Lessons (35)
#Lesson TitleDurationAccess
1
0. Introduction Demo
00:50
2
1. RAM
05:51
3
2. Static Arrays
14:36
4
3. Dynamic Arrays
16:26
5
4. Stacks
04:27
6
5. Singly Linked Lists
11:50
7
6. Doubly Linked Lists
09:31
8
7. Queues
03:33
9
8. Factorial
11:08
10
9. Fibonacci Sequence
12:27
11
10. Insertion Sort
19:27
12
11. Merge Sort
21:49
13
12. Quick Sort
16:44
14
13. Bucket Sort
13:35
15
14. Search Array
15:32
16
15. Search Range
07:34
17
16. Binary Tree
11:12
18
17. Binary Search Tree
14:35
19
18. BST Insert and Remove
21:38
20
19. Depth-First Search
15:28
21
20. Breadth-First Search
11:24
22
21. BST Sets and Maps
05:50
23
22. Tree Maze
13:59
24
23. Heap Properties
14:07
25
24. Push and Pop
17:44
26
25. Heapify
14:35
27
26. Hash Usage
10:01
28
27. Hash Implementation
28:52
29
28. Intro to Graphs
22:03
30
29. Matrix DFS
21:53
31
30. Matrix BFS
13:44
32
31. Adjacency List
19:44
33
32. 1-Dimension DP
20:02
34
33. 2-Dimension DP
22:30
35
34. Bit Operations
17:23
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Frequently asked questions

What prerequisites should I have before enrolling in the course?
This course is designed for beginners, so there are no strict prerequisites. However, a basic understanding of programming concepts and familiarity with at least one programming language will be beneficial. If you're looking to refresh your knowledge or switch careers, this course can also serve as a helpful starting point.
What types of projects or exercises will I work on during the course?
Throughout the course, you will engage in exercises that involve coding algorithms and understanding data structures. For instance, you will implement and analyze sorting algorithms like Merge Sort and Quick Sort, work with data structures such as Linked Lists and Binary Search Trees, and solve problems using dynamic programming techniques. These exercises are designed to help you prepare for technical interviews.
Who is the target audience for this course?
The course is aimed at beginners who want to gain a foundational understanding of algorithms and data structures. It's also suitable for those needing a refresher or individuals seeking to switch to a tech-related career. If you're preparing for technical interviews, this course is particularly relevant.
What specific tools or platforms will I learn about?
The course focuses on fundamental concepts and does not require specific tools or platforms. You will learn about various data structures like arrays, linked lists, and graphs, and algorithms such as sorting and searching techniques. The course also covers dynamic programming and bit manipulation.
What topics are not covered in this course?
While the course provides a solid foundation in data structures and algorithms, it does not cover advanced topics like machine learning, artificial intelligence, or database management. The focus is strictly on fundamental concepts essential for technical interviews.
How does the depth of this course compare to other similar courses?
The course offers a comprehensive overview of essential topics needed for technical interviews but stays at an introductory level. It covers core concepts such as sorting algorithms, trees, and dynamic programming. Unlike advanced courses, it does not delve into highly specialized algorithms or complex data structures.
How can the skills learned in this course be applied to other areas or careers?
The skills learned in this course, such as algorithmic thinking and problem-solving, are valuable in various tech-related fields. Understanding data structures and algorithms is crucial for roles in software development, data analysis, and systems engineering. The ability to design efficient algorithms is a transferable skill that can enhance your performance in technical interviews and contribute to career advancement in tech.