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[FreeTutorials.Us] Udemy - Data Structures And Algorithms Through C In Depth
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Data Structures and Algorithms in C programming language - coding interviews questions/projects. Linked List, Recursion
Created by : Deepali Srivastava Last updated : 8/2019 Language : English Subs + Caption (CC) : Included Course Source : https://www.udemy.com/course/data-structures-and-algorithms-in-c/
What you'll learn
• Understand the details of Data Structures and algorithms through animations • Learn to write programs for different Data Structures and Algorithms in C language • Get the confidence to face programming interviews • Test your knowledge with over 100 Quiz questions • Learn how to analyse algorithms • Get the ability to write and trace recursive algorithms
Course content all 148 lectures 10:12:54
Requirements
• Basic knowledge of programming in any language
Description
This "Data Structures and Algorithms In C" course is thoroughly detailed and uses lots of animations to help you visualize the concepts.
Subtitles are available for the first section only. Closed Captioning for rest of the sections is in progress and are available as [Auto-generated].
This "Data Structures and Algorithms in C" tutorial will help you develop a strong background in Data Structures and Algorithms. The course is broken down into easy to assimilate short lectures, and after each topic there is a quiz that can help you to test your newly acquired knowledge. The examples are explained with animations to simplify the learning of this complex topic. Complete working programs are shown for each concept that is explained.
This course provides a comprehensive explanation of data structures like linked lists, stacks and queues, binary search trees, heap, searching, hashing. Various sorting algorithms with implementation and analysis are included in this tutorial. Concept of recursion is very important for designing and understanding certain algorithms so the process of recursion is explained with the help of several examples.
This course covers following topics with C language implementation :
Algorithm Analysis, Big O notation, Time complexity, Singly linked list, Reversing a linked list, Doubly linked list, Circular linked list, Linked list concatenation, Sorted linked list.
Throughout the course, a step by step approach is followed to make you understand different Data Structures and Algorithms. You will see implementation of different data structures in C language and algorithms are explained in step-wise manner. Through this course you can build a strong foundation and it will help you to crack Data Structures and Algorithms coding interviews questions and work on projects. Good foundation on Data Structures and Algorithms interview topics helps you to attempt tricky interview questions.
In this Data Structures and Algorithms course, C language is used for implementing various concepts, but you can easily implement them in any other programming languages like C++, C#, Java, Python.
What students are saying about this course-
"This is exactly how I hoped to learn data structure and algorithm, PLUS, it's using C!!"
"Instructor is teaching in very well and efficient manner with a good pace ,clears every doubts and teaches concepts deeply."
"Great class, explains topics very well, better than any college class I ever took."
"yes this course has helped me a lot in discovering new topics and the example programs are also quite helpful."
"I really appreciate the way the steps are broken down incrementally."
"Deepali does a great job in explaining all the concept and the course is very well organized. First the concept is explained on paper and then there is a walk through of the code, and then execution of the code. I have learnt a great deal from this course."
"I am taking notes and writing code side by side watching videos which makes it beneficial to understand the code and easier to grasp the concept of the topic rather than just copying the source code. Thank you Deepali Mam for not giving the source it was better to write the code by myself. The videos are informative, detailed and right on point with step by step code programs and I feel learned a lot taking your course then the class which I took at University. This course made my base of data structures in C pretty strong thank you for that."
"This is an awesome course. If you need to understand then try to write every code yourself then try to analyze it. that's how you can gain confidence."
"I'm re-learning something what I am learn years ago, and this course is perfect for my need."
"Its quite helpful, it nicely supplements what you have studied in the book."
"Excellent presentation and content. Easily comprehensible. Since Data Structures and Algorithms are heart of computer science will give a 5 star for this kind of knowledge resource."
"It is one of the best courses that I have ever taken in Data Structures and C."
"Good foundation course covering the fundamentals of data structures in C."
"It's definitely a good course for beginners who have basic knowledge in C and want to learn Data Structures and Algorithms. Really good explanation by the instructor with experience of even writing a book on Data structures."
"Till now its above expectations.Mam I am also following your both book "C in Depth" and "Data Structure Using C"."
"Great in depth explanations of the data structures and algorithms covered."
"good and perfect teaching for basic levels for beginners in data structures."
"Very good clarification and reference for common data structures and algorithms."
This Data Structures and Algorithms In C online course on udemy will help software developers to refresh the concepts studied in book / pdf and also to students learning from referred book / pdf.
Who this course is for :
• Programmers looking for jobs • Programmers wanting to write efficient code • Computer Science students having Data Structures as part of their curriculum • Non Computer science students wanting to enter IT industry.
VISITOR COMMENTS (0 )
FILE LIST
Filename
Size
0. Websites you may like/How you can help Team-FTU.txt
237 B
1. Chapter 1/1. Introduction.mp4
15.1 MB
1. Chapter 1/1. Introduction.srt
2.2 KB
1. Chapter 1/1. Introduction.vtt
2.2 KB
10. Searching/1. Linear Search.mp4
9.7 MB
10. Searching/1. Linear Search.srt
4.9 KB
10. Searching/1. Linear Search.vtt
4.3 KB
10. Searching/2. Variations of Linear Search.mp4
13 MB
10. Searching/2. Variations of Linear Search.srt
6.7 KB
10. Searching/2. Variations of Linear Search.vtt
5.9 KB
10. Searching/3. Binary Search.mp4
11.4 MB
10. Searching/3. Binary Search.srt
6.1 KB
10. Searching/3. Binary Search.vtt
5.3 KB
10. Searching/4. Implementation of Binary Search.mp4
28.5 MB
10. Searching/4. Implementation of Binary Search.srt
14 KB
10. Searching/4. Implementation of Binary Search.vtt
12.1 KB
10. Searching/5. Analysis of Binary Search.mp4
5.2 MB
10. Searching/5. Analysis of Binary Search.srt
3 KB
10. Searching/5. Analysis of Binary Search.vtt
2.7 KB
11. Hashing/1. Direct Addressing.mp4
7.4 MB
11. Hashing/1. Direct Addressing.srt
4.1 KB
11. Hashing/1. Direct Addressing.vtt
3.6 KB
11. Hashing/10. Separate Chaining.mp4
47.8 MB
11. Hashing/10. Separate Chaining.srt
6.3 KB
11. Hashing/10. Separate Chaining.vtt
5.6 KB
11. Hashing/11. Implementation of Separate Chaining.mp4
39.6 MB
11. Hashing/11. Implementation of Separate Chaining.srt
2.9 KB
11. Hashing/11. Implementation of Separate Chaining.vtt
2.5 KB
11. Hashing/2. Hashing.mp4
11.4 MB
11. Hashing/2. Hashing.srt
6.1 KB
11. Hashing/2. Hashing.vtt
5.3 KB
11. Hashing/3. Collisions.mp4
3.8 MB
11. Hashing/3. Collisions.srt
2.2 KB
11. Hashing/3. Collisions.vtt
2 KB
11. Hashing/4. Hash Functions.mp4
15.6 MB
11. Hashing/4. Hash Functions.srt
9 KB
11. Hashing/4. Hash Functions.vtt
8 KB
11. Hashing/5. Open Addressing Linear Probing.mp4
18.9 MB
11. Hashing/5. Open Addressing Linear Probing.srt
10.5 KB
11. Hashing/5. Open Addressing Linear Probing.vtt
9.1 KB
11. Hashing/6. Open Addressing Quadratic Probing.mp4
14.7 MB
11. Hashing/6. Open Addressing Quadratic Probing.srt
7 KB
11. Hashing/6. Open Addressing Quadratic Probing.vtt
6.1 KB
11. Hashing/7. Open Addressing Double Hashing.mp4
16.2 MB
11. Hashing/7. Open Addressing Double Hashing.srt
8.9 KB
11. Hashing/7. Open Addressing Double Hashing.vtt
7.8 KB
11. Hashing/8. Deletion in Open Addressed Tables.mp4
9.6 MB
11. Hashing/8. Deletion in Open Addressed Tables.srt
5.3 KB
11. Hashing/8. Deletion in Open Addressed Tables.vtt
4.6 KB
11. Hashing/9. Implementation of Open Addressing.mp4
11.6 MB
11. Hashing/9. Implementation of Open Addressing.srt
4.3 KB
11. Hashing/9. Implementation of Open Addressing.vtt
3.7 KB
12. Bonus Lecture/1. Recommended Course and offer on my other courses.html
1.8 KB
12. Bonus Lecture/1.1 UdemyStudentCoupon.pdf.pdf
217.3 KB
2. Introduction to Data structures and Algorithms/1. Data Structures and Algorithms.mp4
27.8 MB
2. Introduction to Data structures and Algorithms/1. Data Structures and Algorithms.srt
4.2 KB
2. Introduction to Data structures and Algorithms/1. Data Structures and Algorithms.vtt
4.1 KB
2. Introduction to Data structures and Algorithms/10. Big O analysis of Algorithms Examples.mp4
12.2 MB
2. Introduction to Data structures and Algorithms/10. Big O analysis of Algorithms Examples.srt
8.5 KB
2. Introduction to Data structures and Algorithms/10. Big O analysis of Algorithms Examples.vtt
8.3 KB
2. Introduction to Data structures and Algorithms/11. Worst case, Best case and Average Case Analysis.mp4
7.6 MB
2. Introduction to Data structures and Algorithms/11. Worst case, Best case and Average Case Analysis.srt
5.5 KB
2. Introduction to Data structures and Algorithms/11. Worst case, Best case and Average Case Analysis.vtt
5.3 KB
2. Introduction to Data structures and Algorithms/12. Common Complexities.mp4
3.2 MB
2. Introduction to Data structures and Algorithms/12. Common Complexities.srt
3.9 KB
2. Introduction to Data structures and Algorithms/12. Common Complexities.vtt
3.8 KB
2. Introduction to Data structures and Algorithms/13. Abstract Data Types.mp4
10.1 MB
2. Introduction to Data structures and Algorithms/13. Abstract Data Types.srt
5.2 KB
2. Introduction to Data structures and Algorithms/13. Abstract Data Types.vtt
5 KB
2. Introduction to Data structures and Algorithms/14. Introduction Quiz B.html
145 B
2. Introduction to Data structures and Algorithms/2. Measuring Running time of Algorithms.mp4
5.5 MB
2. Introduction to Data structures and Algorithms/2. Measuring Running time of Algorithms.srt
3.5 KB
2. Introduction to Data structures and Algorithms/2. Measuring Running time of Algorithms.vtt
3.4 KB
2. Introduction to Data structures and Algorithms/3. Asymptotic Analysis.mp4
5.7 MB
2. Introduction to Data structures and Algorithms/3. Asymptotic Analysis.srt
3.6 KB
2. Introduction to Data structures and Algorithms/3. Asymptotic Analysis.vtt
3.5 KB
2. Introduction to Data structures and Algorithms/4. Big O Notation.mp4
6.3 MB
2. Introduction to Data structures and Algorithms/4. Big O Notation.srt
4.5 KB
2. Introduction to Data structures and Algorithms/4. Big O Notation.vtt
4.4 KB
2. Introduction to Data structures and Algorithms/5. Finding Big O.mp4
5.6 MB
2. Introduction to Data structures and Algorithms/5. Finding Big O.srt
5.7 KB
2. Introduction to Data structures and Algorithms/5. Finding Big O.vtt
5.6 KB
2. Introduction to Data structures and Algorithms/6. Tight and Loose Upper Bounds.mp4
2.5 MB
2. Introduction to Data structures and Algorithms/6. Tight and Loose Upper Bounds.srt
1.9 KB
2. Introduction to Data structures and Algorithms/6. Tight and Loose Upper Bounds.vtt
1.9 KB
2. Introduction to Data structures and Algorithms/7. Introduction Quiz A.html
145 B
2. Introduction to Data structures and Algorithms/8. Big O analysis of Algorithms.mp4
3.3 MB
2. Introduction to Data structures and Algorithms/8. Big O analysis of Algorithms.srt
2.8 KB
2. Introduction to Data structures and Algorithms/8. Big O analysis of Algorithms.vtt
2.7 KB
2. Introduction to Data structures and Algorithms/9. Finding Time Comlexity.mp4
7 MB
2. Introduction to Data structures and Algorithms/9. Finding Time Comlexity.srt
3.9 KB
2. Introduction to Data structures and Algorithms/9. Finding Time Comlexity.vtt
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