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basics of computer science
1. Introduction to Computer Science

A structured path introducing the essential principles and practical applications of computer science.

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algorithms
2. Fundamentals of Algorithms

An organized, topic-specific path introducing essential concepts and applications of algorithms in computing.

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data structures
3. Arrays & Sorting

A structured study line covering core concepts in data structures and algorithms, from arrays and sorting to stacks, queues, and linked lists.

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data structures
4. Trees

A structured path introducing core ideas and applications of tree-based algorithms and data structures in coding.

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data structures
5. Linked Lists

A structured study line introducing core ideas, creation, traversal, and manipulation of Linked Lists in programming.

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python
interpreted languages
6. Understanding Python 101

A structured path introducing core ideas and applications of Python programming. Ideal for beginners aiming to grasp the Python 101 course.

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python
interpreted languages
7. Fundamentals of Python Primitives and Variables

A structured path introducing core ideas and applications of Python primitives and variables.

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data structures
8. Stacks

A structured path introducing core ideas and practical implementations of Stacks.

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data structures
9. Binary Trees

A focused study line exploring the fundamentals of binary trees, including terminology, implementation, traversal techniques, deletion cases, and array representation.

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java
object-oriented programming
10. Object Orientated Programming with Java

A comprehensive study line guiding you through the core principles of Object-Oriented Programming in Java, up to the topic of Encapsulation.

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data structures
11. Hash Tables

A structured path introducing core ideas and applications of Hash Tables in coding and software development.

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data structures
12. Heaps

A structured path introducing core ideas and applications of heaps in data structures.

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data structures
13. Graphs

A comprehensive path covering essential concepts, structures and uses of graphs in coding. Ideal for learners of all levels seeking to deepen their knowledge of graph theory and its application in code.

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data structures
14. Weighted Graphs

A comprehensive journey encompassing core concepts, applications, and implementation of weighted graphs in coding.

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