Algorithmic Thinking for Java Developers

4.441 hours943 learnersBeta
Uncover problem-solving mastery with this project-free Java course, which empowers developers, students, scientists, and problem solvers in any field.
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Short, practical text lessons by seasoned developers.
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What you'll learn

In this course, we will introduce you to various algorithms along with the basics of the Java programming language used here to crack complex problems. By gradually learning Java and algorithmic intricacies, you will figure out how to combine this knowledge and apply an algorithmic approach to find unobvious solutions to the many problems developers face in their work. We will show you how to analyze and correctly decompose a problem into separate, simpler fragments and how to choose the appropriate algorithm for its solution. With this course, you'll make the solution to any problem beautiful and concise.

In this course, you will:

  • Learn about algorithmic thinking, the core knowledge for a student and a developer; 
  • Master decomposing complex tasks into simpler steps;
  • Investigate the best practices in algorithms that are useful for finding optimal solutions to complex problems;
  • Find out about basic Java syntax and learn how to use it to implement algorithms.

Note that this is a project-free course which means that there are no required graduate projects to complete this course.

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Learn by doing

# 1
Apply knowledge into practice
You already know the theory. Now it's time to code like you do at work—in a professional IDE, with real project constraints, solving problems that actually matter. Welcome to software engineering as it should be.
# 2
Navigate complexity with surgical precision
Most developers waste months learning random concepts without seeing how they connect. Our interactive Knowledge Map fixes this. It shows exactly how every programming concept relates to others, helping you build a structured mental model of coding.
# 3
Copy the best. Then improve.
Here's what top engineers do that others don't: they study other people's code obsessively. When you get stuck on Hyperskill, you can explore solutions published by other developers. See their exact code. Understand their approach. Learn their tricks.
# 4
Code review that actually makes you better
We stripped code review down to what actually matters: does your solution work? Have you handled the edge cases? Is there a cleaner way to write this? Hyperskill acts like a competent reviewer who actually tests your code. Not genius-level analysis, not architecture debates — just solid feedback on making your code better.

Topics covered by this course

Algorithms and Data Structures
57 topics
Code organization
37 topics
Basics
25 topics
Working with data
12 topics
Fundamentals
10 topics
Interview preparation
8 topics
Errorless code
2 topics
Math
1 topic
Additional instruments
1 topic
Java internals
1 topic

Learn from the industry experts

JetBrains Academy

JetBrains Academy

JetBrains Academy is a part of JetBrains, a global software company specializing in the creation of intelligent, productivity-enhancing tools for software developers and teams. With years of expertise in software development and education, JetBrains Academy empowers more than a million people worldwide to learn and teach computer science, and help organizations inspire their teams to reach their goals in tech. Professional development tools play a big role in computer science education. This is why JetBrains Academy courses offer integration with JetBrains IDEs. This integration assists learners in getting experience with real development processes to streamline their learning curve at future work.

Your peers think Hyperskill rocks

Valery
9 months ago
I learned more about Java, types and dynamic type casting, and how to solve some algorithms. The course was very useful.
Denis Kostuković avatar
Denis Kostuković
10 months ago
There would be no any "enough" on DSA ever, - we need more, and more versatile!
EVGENII MORGUNOV avatar
EVGENII MORGUNOV
11 months ago
During this track, I have learned about the principles and characteristics of greedy algorithms, including their benefits and limitations. I have also explored specific problems like the cash changing problem and the knapsack problem, understanding when the greedy approach can be applied effectively ...

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