Algorithms in Java :Live problem solving & Design Techniques (Udemy.com)
Recursion,BackTracking,Divide & Conquer,Dynamic Programming,Greedy Algorithms via Data Structures and Algorithms in Java
Created by: HeadEasy Labs
Last updated June 2025
What you will learn
- Algorithm Design in Computer Systems
- Algorithm Design Techniques
- How to Code a Algo in Java
- Calculate time and space complexity
- Dynamic Programming, Greedy, D&C and Much more
How it compares
Against the other 86 rated Udemy courses in Data Structures and Algorithms on CourseDuck:
- Rating4.2 out of 5higher than 10% of them
- Reviews168#57 of 87 by number of reviews
- Length19.7 hourslonger than 72% of them
- Last updatedJune 2025more recently than 70% of them
Course Description
Algorithm Design Techniques: Live problem-solving in Java
Algorithms are everywhere. One great algorithm applied sensibly can result in a System like GOOGLE!
Completer scientists have worked from 100s of years and derived some of the techniques that can be applied to write and design algorithms.
So Why to reinvent the wheel ??
Let’s go through some of the most famous algorithm design techniques in this course.
Once you will come to know these design techniques It will become very easy for you to approach a problem by identifying which technique to apply to solve that correctly and efficiently.
0. Complexity analysis
1. Recursion is the base of any algorithm design
2. Backtracking
3. Divide and Conquer
4. Greedy algorithms
5. Dynamic programming
And WE WILL WRITE THE CODE LINE BY LINE IN JAVA !!
By the end of this course -
1. You will understand how to design algorithms
2. A lot of coding practice and design live problems in Java
3. Algorithm Complexity analysis
AND
If you are preparing for your coding Interview or doing competitive programming This course will be a big help for you.
THRILLED? I welcome you to the course and I am sure this will be fun!!
If it does not - It comes with a 30 Days money-back guarantee so don’t think twice to give it a shot.
Happy Learning
Basics>Strong;
Instructor Details
- 4.2 Rating
168 Reviews
HeadEasy Labs
Previously We were Basics>Strong;
HeadEasy – Creating Impactful Learning for the Digital Age
At HeadEasy, we believe learning should be simple, engaging, and transformative. In today’s fast-paced digital world, learners expect experiences that are interactive, flexible, and inspiring—and that’s exactly what we deliver.
We specialize in designing and developing engaging digital learning experiences that go beyond traditional classrooms. Our approach blends instructional design, storytelling, interactivity, and technology to create learning journeys that capture attention, build curiosity, and drive real outcomes.
Whether you’re an educator, trainer, instructional designer, or content creator, our courses equip you with practical strategies, frameworks, and tools to design learning that truly makes an impact.
With a focus on clarity, creativity, and learner success, HeadEasy is committed to helping you create digital learning that stands out, engages deeply, and lasts.
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Reviews
By Ankit Srivastava on 10/3/2024
even all subsequence problem is not efficiently solved
By Madineni Jayasree on 2/6/2024
The way of teaching and the content is good. Please make more videos on implementing these algorithms and solving coding problems for the coding exams.
By David Vera on 11/8/2022
Complex stuffs to understand but very well explained. I still have issues with some of them. I'll return to enhance my understanding. good material for advanced developpers, and must have for junior developers
By Rahul Rajput on 9/9/2022
From Basic to Advance .. .It Is good
By Yaswanth Baddi on 12/20/2021
it is better to attach the coding files
By Thabiso Blessed on 2/27/2021
Perfectly and nicely explained ,good stuff.
By Ashwell Kakaza on 12/31/2020
Greatcourse, needs effort on your part ...
By Samaresh Kumar Pradhan on 10/21/2020
The best thing about this course is the in depth explanation to each topic
By Vineet on 9/17/2020
Bit slow. The problems discussed are all easy, need more examples and most important discuss more than one solution for a given problem along with Time and space complexity and code best time and space complexity solution.
By Ranju vyas on 7/3/2020
Another Great course by this instructor!
Quality Score
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Overall Score : 84 / 100











