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CourseraData Structures and Performance
4.8(2,250)113k studentsINTERMEDIATEEnglish
Korshub's take
Korshub take
This is where "learn to code" turns into "write code that scales." An intermediate-level Java course, it's aimed squarely at the moment when data structures and algorithms that worked fine on toy examples start breaking under real, large datasets — and it drills into why, and how to measure it.
Who it's for
Learners who already have some software development background or a first course in Java under their belt, and want to move from writing working code to writing efficient code with measurable performance.
What you'll practice
- Choosing and implementing data structures suited to real workloads
- Performance tuning and testing, not just functional correctness
- Unit testing discipline alongside object-oriented program design
Over 113,299 learners have taken it — a strong signal for anyone deciding whether to fill this specific gap in their Java fundamentals.
About this course
How do Java programs deal with vast quantities of data? Many of the data structures and algorithms that work with introductory toy examples break when applications process real, large data sets. Efficiency is critical, but how do we achieve it, and how do we even measure it?
This is an intermediate Java course. We recommend this course to learners who have previous experience in software development or a background in computer science, and in particular, we recommend that you have taken the fi
Skills you'll gain: Unit Testing, Data Structures, Java, Java Programming, Software Testing, Program Development, Performance Tuning, Algorithms, Performance Testing, Object Oriented Programming (OOP), Theoretical Computer Science.
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