Algorithms are one of the most common themes in coding interviews, so having a firm grip on them can be the difference between being hired or not. After this comprehensive course in Java, one of the most popular coding languages, you'll have an in-depth understanding of different algorithm types and be equipped with a simple process for approaching complex analysis.
As you progress through the course, you’ll be exposed to the most important algorithms that you're likely to encounter in an interview. You'll work your way through over 50 interactive coding challenges and review detailed solutions for each problem. And guess what? Even if you’re not yet fully comfortable with Java, you’ll walk away with the ability to craft optimal solutions for addressing tough coding interview questions in it.
Algorithms are one of the most common themes in coding interviews, so having a firm grip on them can be the difference between b...Show More
TAKEAWAY SKILLS
Content
1.
Introduction
2 Lessons
Get familiar with foundational concepts, coding challenges, and advanced problem-solving strategies for Java.
2.
Algorithmic Paradigms
4 Lessons
Grasp the fundamentals of brute force, greedy algorithms, divide and conquer, and dynamic programming.
3.
Asymptotic Analysis
22 Lessons
Master the steps to asymptotic analysis, comparing algorithm complexities, and solving complexity challenges.
4.
Sorting and Searching
26 Lessons
Discover algorithm techniques for sorting (like Merge Sort and QuickSort) and efficient searching methods.
5.
Dynamic Programming
25 Lessons
Deepen your knowledge of dynamic programming techniques for solving complex coding problems efficiently.
6.
Greedy Algorithms
20 Lessons
Follow the process of designing and implementing efficient greedy algorithms to solve diverse optimization problems.
7.
Divide and Conquer
23 Lessons
Master the steps to applying divide and conquer for efficient problem-solving in algorithm design.
8.
Graph Algorithms
22 Lessons
Sharpen your skills in implementing and solving diverse graph algorithms efficiently.
9.
Appendix: Auxiliary Source Code
5 Lessons
Unpack the core of auxiliary classes like Stack, Queue, PriorityQueue, HashMap, and ArrayList.
10.
Conclusion
2 Lessons
Master the steps to understand efficient algorithms and enhance your technical interview skills.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Course Author:
Developed by MAANG Engineers
Trusted by 2.8 million developers working at companies
"These are high-quality courses. Trust me. I own around 10 and the price is worth it for the content quality. EducativeInc came at the right time in my career. I'm understanding topics better than with any book or online video tutorial I've done. Truly made for developers. Thanks"
Anthony Walker
@_webarchitect_
"Just finished my first full #ML course: Machine learning for Software Engineers from Educative, Inc. ... Highly recommend!"
Evan Dunbar
ML Engineer
"You guys are the gold standard of crash-courses... Narrow enough that it doesn't need years of study or a full blown book to get the gist, but broad enough that an afternoon of Googling doesn't cut it."
Software Developer
Carlos Matias La Borde
"I spend my days and nights on Educative. It is indispensable. It is such a unique and reader-friendly site"
Souvik Kundu
Front-end Developer
"Your courses are simply awesome, the depth they go into and the breadth of coverage is so good that I don't have to refer to 10 different websites looking for interview topics and content."
Vinay Krishnaiah
Software Developer
Hands-on Learning Powered by AI
See how Educative uses AI to make your learning more immersive than ever before.
AI Prompt
Code Feedback
Explain with AI
AI Code Mentor
Free Resources
Frequently Asked Questions
How do I prepare for a Java coding interview?
Is Java a good choice for coding interviews?
How do I improve my Java coding skills?
How do I write fast code in Java?
Why is Java good for algorithms?
