English | Size: 8.4 GB
Genre: eLearning
Master Time Complexities, Recursion, Linked Lists, Stacks, Queues, Heaps, HashMaps, Arrays, Sort and Search Algorithms
What you’ll learn
Learn popular Data Structures and Algorithms from Scratch using Java with simple and easy approach
Improve your Problem solving Skills with many logical techniques and Practice exercises
Become more confident and Ace coding Interviews from top tech companies
Deeper understanding on Stacks, Queues, LinkedList, Hashes, Heaps, Arrays etc
Learn various Search and Sort Algorithms with their time complexity estimation
Learn and Implement Recursive Programming to solve the tricky Programming puzzles
Your Search on Learning Data Structures & Algorithms ends here. Ds & Algos are very easy if you know how exactly they work! And I am here to show its implementation process with very easy approach using Whiteboard teaching so that you will master on all the essential concepts to clear the Interviews.
The examples I picked in this course will fine tune your thought process and enhance your logical thinking ability. With the approach of Whiteboard teaching, You will have practical understanding of how Data structures Problems can be analyzed and solved!!
There are tons of Assignments & Interview Questions with solutions all over the course for practice so that you can progress in the course confidently
In this course, I use Java to teach the concepts but you can apply these concepts in any programming language. Our focus is on data structures and algorithms, not programming languages and tools.
Below are the list of Data Structure topics you will master from this tutorial
1. Recursion
2. Linked List
3. Stacks
4. Queues
5. Time Complexity
6. Search Algorithms
7. Sort Algorithms
8. Binary Trees
9. Arrays & Heaps
10. Hash Map with its internal working process
By end of this course, you will gain enough confidence in solving the Data Structure puzzle questions and also gain the ability to write algorithms for any given problem
Who this course is for:
Software engineers
College Graduates
Computer Science Students
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