10 Best Data Structures Courses and Certifications Online

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Close up iPhone showing Udemy application and laptop with notebookThere are countless online courses and classes that will assist you improve your Data Structures abilities and earn your Data Structures certificate.

In this short article, our experts have assembled a curated list of the 10 Best of the Best Data Structures courses, tutorials, training programs, classes and certifications that are offered online right now.

We have actually included only those courses that meet our high-quality requirements. We have put a great deal of time and effort into gathering these all for you. These courses are suitable for all levels, beginners, intermediate learners, and experts.

Here’s a look at these courses and what they have to offer for you!

10 Best Data Structures Courses and Certifications Online

1. Mastering Data Structures & Algorithms using C and C++ by Abdul Bari Udemy Course Our Best Pick

“Learn, Analyse and Implement Data Structure using C and C++. Learn Recursion and Sorting.”

As of right now, more than 117066+ people have enrolled in this course and there are over 30145+ reviews.

Course Content
Before we Start
Essential C and C++ Concepts
Required Setup for Programming
Introduction
Recursion
Arrays Representations
Array ADT
Strings
Matrices
Sparse Matrix and Polynomial Representation
Linked List
Sparse Matrix and Polynomial using Linked List
Stack
Queues
Trees
Binary Search Trees
AVL Trees
Search Trees
Heap
Sorting Techniques
Hashing Technique
Graphs
Asymptotic Notations

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2. Easy to Advanced Data Structures by William Fiset Udemy Course

A complete guide to learning everything there is to know about data structures

As of right now, more than 89051+ people have enrolled in this course and there are over 7447+ reviews.

Course Content
Introduction
Static and dynamic arrays
Linked lists
Stacks
Queues
Priority queues
Union find/Disjoint set
Binary search trees
Hash tables
Fenwick tree/Binary indexed tree
AVL Tree
Indexed Priority Queue
Sparse Tables

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3. Data Structures and Algorithms: Deep Dive Using Java by “Tim Buchalka, Goran Lochert, Tim Buchalka’s Learn Programming Academy” Udemy Course

“Learn about Arrays, Linked Lists, Trees, Hashtables, Stacks, Queues, Heaps, Sort algorithms and Search algorithms”

As of right now, more than 80552+ people have enrolled in this course and there are over 12826+ reviews.

Course Content
“Introduction
Arrays and Big-O Notation
Sort Algorithms
Lists
Stacks
Queues
Hashtables
Search Algorithms
Trees
Heaps
Course Wrap-Up
Extra Information – Source code, and other stuff”

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4. “Python for Data Structures, Algorithms, and Interviews!” by Jose Portilla Udemy Course

Get a kick start on your career and ace your coding interviews!

As of right now, more than 74605+ people have enrolled in this course and there are over 10729+ reviews.

Course Content
Course Setup
Company and Job Types
Resume Preparation
Online Presence
Networking
Job Searching
During the Interview (Non-Technical)
Post Interview
Technical Break Section
Introduction to Jupyter Notebooks
Algorithm Analysis and Big O
Array Sequences
Stacks Queues and Deques
Linked Lists
Recursion
Trees
Searching and Sorting
Graph Algorithms
Riddles
Introduction to Mock Interview Section
Mock Interview 1 – E-Commerce Company
Mock Interview 2 – Large Search Engine Company
Mock Interview 3 – Ride Share Start-Up Company
Mock Interview 4 – Social Network Company
BONUS SECTION: THANK YOU!

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5. Master the Coding Interview: Big Tech (FAANG) Interviews by “Andrei Neagoie, Yihua Zhang, Zero To Mastery” Udemy Course

“Ace the Google, Amazon, Facebook, Microsoft, Netflix coding interviews. Step by step guide for their toughest questions!”

As of right now, more than 42969+ people have enrolled in this course and there are over 3676+ reviews.

Course Content
“Introduction
Arrays – Question #1 Google Interview Question Two Sum (Easy)
Arrays – Questions #2 – Container With Most Water (Medium)
Arrays – Questions #3 – Trapping Rainwater (Hard)
Strings – Question #4 – Typed Out Strings (Easy)
Strings – Question #5 – Longest Substring Without Repeating Characters (Medium)
Strings – Question #6 – Valid Palindrome & Almost Palindrome
Introducing Linked Lists – Basics and Reverse A Linked List
Linked List – Question #7 – M, N Reversals (Medium)
Linked List – Question #8 – Merge Multi-Level Doubly Linked List (Medium)
Linked List – Question #9 – Cycle Detection (Medium)
Stacks – Question #10 – Valid Parentheses (Easy)
Stacks – Question #11 – Minimum Brackets To Remove (Medium)
Queues – Question #12 – Implement Queue With Stacks (Easy)
Recursion (Sorting and Hoare’s QuickSelect) – Question #13 – Kth Largest Element
Recursion (Binary Search) – Question #14 – Start And End Of Target (Medium)
Binary Trees – Question #15 – Maximum Depth Of Binary Tree (Easy)
Binary Trees – Question #16 – Level Order Of Binary Tree (Medium)
Binary Trees – Question #17 – Right Side View of Tree (Medium)
Full & Complete Binary Trees – Question #18 – Number Of Nodes In Complete Tree
Binary Search Tree – Question #19 – Validate Binary Search Tree (Medium)
Heaps & Priority Queues
Intro To 2D-Arrays – Basics & Traversal Algorithms
2D-Arrays – Question #20 Number Of Islands (Medium)
2D-Arrays – Question #21 Rotting Oranges (Medium)
2D-Arrays – Question #22 – Walls And Gates (Medium)
Intro to Graphs – Representation & Traversal Algorithms
Graphs – Question #23 – Time Needed to Inform All Employees (Medium)
Graphs – Question #24 – Course Scheduler (Medium)
Graphs – Question #25 – Network Time Delay (Medium)
Dynamic Programming – Question #26 – Minimum Cost Of Climbing Stairs (Easy)
Dynamic Programming – Question #27 – Knight Probability In Chessboard (Medium)
Backtracking – Question #28 – Sudoku Solver (Hard)
Interface Design – Question #29 – Monarchy
Tries – Question #30 – Implement Prefix Trie (Medium)
Where To Go From Here?
Appendix: Big O
Appendix: Arrays
Appendix: Hash Tables
Appendix: Linked Lists
Appendix: Stacks + Queues
Appendix: Trees
Appendix: Searching + BFS + DFS
Appendix: Recursion
Appendix: Sorting
BONUS SECTION”

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6. Practical Data Structures & Algorithms in Java + HW by Imtiaz Ahmad Udemy Course

Go from zero to hero in the most important algorithms and data structures using Java

As of right now, more than 28005+ people have enrolled in this course and there are over 5448+ reviews.

Course Content
Course Overview (Watch this First!)
Prerequisite: Intro to Object Oriented Programming
Basic Data Structures
Linked Lists
Popular Searching Algorithms
Popular Sorting Algorithms
Binary Search Trees
Heap Data Structure
Hash Tables
Graphs

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7. Data Structures A-Z : Data Structures + Algorithms Bootcamp by Vinoth Parthasarathy Udemy Course

Become ace in data structures & algorithms & Crack the code interview by getting mastery in data structures & algorithms

As of right now, more than 26983+ people have enrolled in this course and there are over 6413+ reviews.

Course Content
Getting Started to Data Structures Masterclass!!!
Start Your Journey with Data Structures and Algorithms
——- Basic Data Structures ——-
The Basic Idea behind all the data structure : Array data structure
Linked List Data Structure : Store your data in order
Special Data structure based on Hashing Technique
Stack And Queue Data Structures : They are Fun – See How!
——- Advanced Data Structures ——-
Tree Theory – Getting Ready to Advanced Data Structures
Graph Theory – Its Amazing [ Another Advanced Data Structures]——- Welcome to Algorithms ——-
Algorithms : The 2 most popular Shortest Path Algorithms
Algorithms : Searching Algorithms – Searching is always Fun!
Sorting Algorithms – Choose Right Algorithm for Right Place
The Conclusion [Of Data Structures and Algorithms Masterclass]

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8. Algorithms and Data Structures in Python (INTERVIEW Q&A) by Holczer Balazs Udemy Course

“A guide to implement data structures, graph algorithms and sorting algorithms from scratch with interview questions!”

As of right now, more than 25655+ people have enrolled in this course and there are over 3904+ reviews.

Course Content
Introduction
Installation and Environment Setup
### DATA STRUCTURES ###
Data Structures – Arrays
Interview Questions – (Arrays)
Data Structures – Linked Lists
Data Structures – Doubly Linked Lists
Interview Questions (Linked Lists)
Data Structures – Stacks
Data Structures – Queues
Interview Questions (Stacks and Queues)
Data Structures – Binary Search Trees
Interview Questions (Binary Search Trees)
Data Structures – AVL Trees
Data Structures – Red-Black Trees
Data Structures – Heaps
Interview Questions (Heaps)
Data Structures – Associative Arrays (Dictionaries)
### GRAPH ALGORITHMS ###
Graph Algorithms – Graph Traversal Algorithms
Interview Questions (Graph Traversal)
Graph Algorithms – Shortest Paths with Dijkstra’s Algorithm
Graph Algorithms – Shortest Paths with Bellman-Ford Algorithm
Interview Questions (Shortest Paths)
Graph Algorithms – Spanning Trees with Kruskal Algorithm
Graph Algorithms – Spanning Trees with Prims Algorithm
Hamiltonian Cycles – Travelling Salesman Problem
### SUBSTRING SEARCH ALGORITHMS ###
### SORTING ALGORITHMS ###
Interview Questions (Sorting)
### APPENDIX – COMPLEXITY THEORY CRASH COURSE ###
Next Steps
Course Materials (DOWNLOADS)

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9. Introduction to Data Structures & Algorithms in Java by Raghavendra Dixit Udemy Course

Designed to help understand the fundamentals of DS & Algorithms really well. A must have for programming interviews.

As of right now, more than 23210+ people have enrolled in this course and there are over 3101+ reviews.

Course Content
Introduction to Algorithms
Analysis of Algorithms
Basic Sorting and Search Algorithms
Linked Lists
Stacks and Queues
Recursion
Binary Search Trees
More Sorting Algorithms
Heaps
Hashtables

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10. Algorithms Data Structures in Java #1 (+INTERVIEW QUESTIONS) by Holczer Balazs Udemy Course

“Basic Algorithms and Data Structures: AVL tree, Binary Search Trees, Arrays, B Trees, Linked Lists, Stacks and HashMaps”

As of right now, more than 21761+ people have enrolled in this course and there are over 2561+ reviews.

Course Content
Introduction
Data Structures Overview
Installation and Environment Setup
Arrays
Interview Questions (Arrays)
Linked Lists
Doubly Linked Lists
Interview Questions (Linked List)
Stacks
Queues
Interview Questions (Stacks and Queues)
Binary Search Trees
Interview Questions (Trees)
Balanced Trees: AVL Trees
Balanced Trees: Red-Black Trees
Splay Trees
Binary Heaps
Heaps Interview Questions
B-Trees
Hashtables
Hashing Interview Questions
Basic Sorting Algorithms
Substring Search
BONUS: Least Recently Used (LRU) Cache
BONUS: Fenwick Trees (Binary Indexed Trees)
Next Steps
### APPENDIX – COMPLEXITY THEORY CRASH COURSE ###
Algorhyme FREE Algorithms Visualizer App
Course Materials (DOWNLOADS)

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Here are some frequently asked questions about learning Data Structures

How Long Does It Take to Learn Data Structures?

The answer to the question “How long does it ttake to learn Data Structures” is … it depends. Everyone has different requirements, and everyone is operating in different scenarios, so the answer for one person might be entirely different than for somebody else.

Think about these questions: What are you attempting to Learn Data Structures for? Where is your starting point? Are you a beginner or do you have experience with Data Structures? Just how much can you practice? 1 hour each day? 40 hours weekly? Take a look at this course about Data Structures.

Is Data Structures Easy Or Hard to Learn?

No, learning Data Structures isn’t hard for the majority of people. Check this course on how to Learn Data Structures in no time!

How to Learn Data Structures Fast?

The fastest method to Learn Data Structures is to first get this Data Structures course, then practice whatever you learn whenever you can. Even if its simply 15 minutes a day of practice. Consistency is crucial.

Where to Learn Data Structures?

If you want to explore and learn Data Structures, then Udemy provides you the best platform to learn the Data Structures. Check this course on how to Learn Data Structures in no time!