Data Structures
Master the building blocks of computer science — understand how data is stored, accessed, and organized through every major data structure, from arrays to graphs.
10–12 weeks
15.2k students
4.9 rating
Progress0/55 lessons
Key Topics You'll Master
1
Foundations of Data Structures2
Arrays and Memory Representation3
Linked Lists4
Stacks and Queues5
Hash Tables and Dictionaries6
Trees7
Heaps and Priority Structures8
Graphs9
Advanced and Specialized Structures10
Case Studies and Real-World ApplicationsMaster Jetpack Compose1:1 Coaching
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Interested in the 7-Day Sprint Cohort?Learning Outcomes
- Understand internal memory representation of core data structures
- Know which data structure to use for specific real-world problems
- Visualize how data is stored, linked, and traversed
- Evaluate time and space trade-offs
- Implement efficient storage and retrieval mechanisms conceptually
- Build a strong base for learning algorithms later
Prerequisites
- Basic programming knowledge (any language)
- Understanding of variables, loops, and functions
- Logical and mathematical reasoning skills
1
Foundations of Data StructuresWhat data structures are, how memory works, and why they matter.
2
Arrays and Memory RepresentationUnderstanding sequential storage and index-based access.
3
Linked ListsNon-contiguous storage and node-based structures.
4
Stacks and QueuesOrdered data control for last-in-first-out (LIFO) and first-in-first-out (FIFO) behaviors.
5
Hash Tables and DictionariesFast access through hashing and key-value mapping.
6
TreesHierarchical structures that organize data in parent–child relationships.
7
Heaps and Priority StructuresSpecialized trees that maintain priority ordering.
8
GraphsNetworks of nodes and edges — the most powerful structure for modeling relationships.
9
Advanced and Specialized StructuresData structures built for high performance and domain-specific needs.
10
Case Studies and Real-World ApplicationsHow real systems leverage these structures.