To Data & Beyond

To Data & Beyond

Share this post

To Data & Beyond
To Data & Beyond
Foundations of Data Structures: Essential Concepts for Data Science Coding Interviews

Foundations of Data Structures: Essential Concepts for Data Science Coding Interviews

Data Structure Basics for Data Science Coding Interview [Part 1 ]

Youssef Hosni's avatar
Youssef Hosni
Nov 24, 2023
∙ Paid
3

Share this post

To Data & Beyond
To Data & Beyond
Foundations of Data Structures: Essential Concepts for Data Science Coding Interviews
1
1
Share

In the dynamic field of data science, proficiency in fundamental data structures is crucial, especially for excelling in coding interviews. This initial installment of a comprehensive series explores essential data structure concepts vital for aspiring data scientists. 

From foundational structures like arrays and linked lists to more intricate ones such as trees and graphs, each section provides insights to cultivate a holistic understanding. Mastering these structures not only showcases problem-solving skills but also offers a strategic advantage in algorithmic thinking during data science interviews. 

The upcoming second part will delve into advanced topics like dynamic programming and disjoint sets (union-find), aiming to empower enthusiasts with the knowledge needed to navigate complex coding interviews.

Table of Contents

  1. Arrays 

  2. Linked Lists 

  3. Stacks 

  4. Queues

  5. Trees

  6. Graphs

  7. Hashing

  8. Heaps

  9. Trie

  10. Sets and Maps

  11. Dynamic Programming

  12. Disjoint Set (Union-Find)

This post is for paid subscribers

Already a paid subscriber? Sign in
© 2025 Youssef Hosni
Privacy ∙ Terms ∙ Collection notice
Start writingGet the app
Substack is the home for great culture

Share