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Data Structures and Algorithm

A data structure is a specific location that we can use to store and organize the data, while an algorithm is a step-by-step guide to solve a problem. We can write efficient and optimized computer programs with the help of data structures and algorithm. Data structures and algorithm is one of the most important topics for placement and interview preparation. Here is a complete roadmap to cover all the data structure algorithm topics. It makes you comfortable with the most important algorithms in the data structure for your interviews.
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Key Points

Earn Certificate of completion

Average time to complete  120 days

Pre-requisites: Basics of programming like functions, conditionals, loops in c++, java or python

Chapter 1

Introduction to Data Structures

8 Notes & 7 Problems
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Candidate Level

Introduction to Data Structures

Not a linear data structure

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Linear Data Structure Applications

Last-In-First-Out Principle

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Insertion and Removal at Both Ends

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Linked List Characteristics

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Non-Linear Data Structures

Hierarchical Representation

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Social Network Modeling

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Efficient Priority Management

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Choosing the Right Data Structure

Topics covered in GP

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