Algorithms Data Structures in Java #1 (+INTERVIEW QUESTIONS)
This course is about data structures and algorithms. We are going to implement the problems in Java. The course takes approximately 14 hours to complete. It is highly recommended to type out these data structures several times on your own in order to get a good grasp of it.
Section 1:
data structures and abstract data types
Section 2 - Arrays
what are arrays
what is random access and how to indexes
Section 3 - Linked Lists
linked lists and doubly linked lists
linked list related interview questions
Section 2 - Stacks and Queues:
what are stacks and queues
heap memory and stack memory
visualizing stack memory
Section 3 - Binary Search Trees (BSTs):
what are tree data structures?
how to achieve O(logN) logarithmic running time?
binary search trees
Section 4 - AVL Trees
what is the problem with binary search trees?
balanced search trees: AVL trees
rotations
Section 5 - Red-Black Trees
what are red-black trees?
what is recovering operation?
comparing AVL trees and red-black trees
Section 6 - Splay Trees
splay trees and caches
achieve O(1) running time for getting the recently visited item
Section 7 - Heaps and Priority Queues
what are priority queues?
what is heap data structure?
how to do sorting in O(NlogN) with heaps?
Section 8 - B-Trees
external memory and the main memory (RAM)
B-trees and their applications in memory
B* trees and B+ trees
Section 9 - Hashing and HashMaps:
what are hashing and hashtables (hashmaps)
what are hash-functions
how to achieve O(1) running time complexity
Section 10 - Sorting Algorithms
basic sorting algorithms
bubble sort and selection sort
insertion sort and shell sort
quicksort and merge sort
comparison based and non-comparison based approaches
string sorting algorithms
bucket sort and radix sort
Section 11 (BONUS):
what is LRU cache
LRU cache implementation
Section 12 (BONUS):
Fenwick trees (binary indexed trees)
binary indexed tree implementation
In each chapter you will learn about the theoretical background of each algorithm or data structure, then we are going to write the code on a step by step basis in Eclipse, Java.
Most of the advanced algorithms relies heavily on these topics so it is definitely worth understanding the basics. These principles can be used in several fields: in investment banking, artificial intelligence or electronic trading algorithms on the stock market.
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| Rating | 4.2★ based on 169 ratings |
|---|---|
| Length | 19.5 total hours |
| Starts | On Demand (Start anytime) |
| Cost | $14 |
| From | Udemy |
| Instructor | Holczer Balazs |
| Download Videos | Only via the Udemy mobile app |
| Language | English |
| Subjects | IT & Networking |
| Tags | Development IT & Software Other Other IT & Software |
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What people are saying
algorithms and data structures
Very good and in depth coverage of Algorithms and Data Structures.
The workings and intentions of the algorithms and data structures are clearly explained along with their trade offs, they are then fully implemented.
You can spend 10 years of your life writing code and you will become a great programmer, or you can spend 2 years studying algorithms and data structures to get to the same place.
The instructor should demonstrate the practical implementation on the algorithms and data structures using Java code and not just provide a theoretical explanation.
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so far
https://globallogic.udemy.com/algorithms-and-data-structures/learn/v4/t/lecture/4666424?start=0 there is a mistake in method void factorial ---> int factorial So far so good.
language is bit different took time to understand the pronunciation Superb So far he has only talked about the theory of Big "O" notation, but has not shown any practical applicationof it The lectures are very clear and I am learning a lot.
Going really well so far I went through half a semester of data structures with a book by a professor.
Great Explanation So far!
i get the impression instructor is just reading information, not really trying to explain details Very Useful Course for Interviews Cracking He explains the point of things in easy way Good course So far, it's really going great!
Very good explanation It is absolutely nice course so far.
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easy to understand
a little bit slow for the first several courses Content is really good and easy to understand.
Great course to start with .. thanks Holczer :) The instructor made the subject easy to understand The course is very complete and shows you a lot of information.
need more insight on algorithm also Pretty Straightforward and easy to understand.
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well explained
All the topics were well explained and in-depth.
All is well explained Theory shown in a simple and clear manner.
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highly recommended
Highly recommended.
Very well explained and I think the wey the instructor code is more real world example, because I have taken other courses about algorithms and the code style is pretty ugly, so my recomendation is complement this course with another more visual in order to get fully understanding Highly recommended.
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holczer balazs
Holczer Balazs always delivers great content in his courses The course was well organized and a lot of the information that was covered was what I was interested in learning.
Update: Since I am following Holczer Balazs courses, my CS grades have increased considerably.
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well organized
The course is very well organized.
The material is well organized but the course is pretty shallow when it comes to explanation.
some time
I am familiar with UK English so, in the beginning, it took me some time to adjust with the speaker's pronunciation.
Awesome professor looking forward in taking his AI class Accent I have updated my ratings after spending some time with course.
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| Rating | 4.2★ based on 169 ratings |
|---|---|
| Length | 19.5 total hours |
| Starts | On Demand (Start anytime) |
| Cost | $14 |
| From | Udemy |
| Instructor | Holczer Balazs |
| Download Videos | Only via the Udemy mobile app |
| Language | English |
| Subjects | IT & Networking |
| Tags | Development IT & Software Other Other IT & Software |
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