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HomeData Structures & Algorithms CoursesMastering Data Structures & Algorithms using C and C++
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Mastering Data Structures & Algorithms using C and C++

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

Mastering Data Structures & Algorithms using C and C++ is a beginner-level online course from Udemy in Data Structures & Algorithms. It is structured in 20 modules with 5 stated learning outcomes. It is free to enrol, and a certificate is available on completion. Learners rate it 4.6/5 from 60.3K ratings on Udemy, with 255.2K enrolled.

Part of our Data Structures & Algorithms courses collection, where we compare it against 5 other courses.

★★★★★4.6(60.3K reviews) 255.2K learners English

Course highlights

Provider Udemy
Level Beginner
Mode Self-paced
Language English
Certificate Yes — shareable certificate
Rating 4.6★ (60.3K reviews)
Learners 255.2K
Price Free Free

What you’ll learn

Learn various Popular Data Structures and their Algorithms.
Develop your Analytical skills on Data Structure and use then efficiently.
Learn Recursive Algorithms on Data Structures
Learn about various Sorting Algorithms
Implementation of Data Structures using C and C++

Level and time commitment

Udemy lists this course at Beginner level.
No prior experience in the subject is assumed — this is where the provider expects a newcomer to start.

Skills you’ll gain

Thing

What this course covers

20 modules

The 20-part outline Udemy publishes for this course.

Module 1 · Before we Start
Module 2 · Essential C and C++ Concepts
Module 3 · Required Setup for Programming
Module 4 · Introduction
Module 5 · Recursion
Module 6 · Arrays Representations
Module 7 · Array ADT
Module 8 · Strings
Module 9 · Matrices
Module 10 · Sparse Matrix and Polynomial Representation
Module 11 · Linked List
Module 12 · Sparse Matrix and Polynomial using Linked List
Module 13 · Stack
Module 14 · Queues
Module 15 · Trees
Module 16 · Binary Search Trees
Module 17 · AVL Trees
Module 18 · Search Trees
Module 19 · Heap
Module 20 · Sorting Techniques

What learners rate it

4.6
★★★★★
60.3K ratings

Rated 4.6/5 by 60.3K learners on Udemy (checked 26 Aug 2026).

This rating is collected by Udemy from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Udemy →

How this page is put together

Compiled by the 10courses editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Udemy course pages — we never estimate a price or a rating. Last verified 26 August 2026.

How we compare and rank courses · Our review policy · Affiliate disclosure

Compare with alternatives

Same topic, different trade-offs — here's who runs each one and what it's best at.

Course Provider Rating Price Duration Why pick this one
Mastering Data Structures & Algorithms using C and C++ This Udemy 4.6★ Free Free — and still gives a certificate
Data Structures and Algorithms Coursera 4.6★ Check price 5 months Beginner-friendly · 5 months
Java Data Structures & Algorithms + LEETCODE Exercises Udemy 4.6★ Free Free — certificate included
Learn Data Structures and Algorithms with Python Codecademy 4.4★ $23.99 26h Cheapest paid option ($23.99)
See all Data Structures & Algorithms courses →

Common questions

Is Mastering Data Structures & Algorithms using C and C++ free?

Yes. Udemy lists it as free to enrol. A certificate is available on completion — providers often charge separately for the certificate even when the course itself is free, so check the fee on the provider page before you count on it.

Does Mastering Data Structures & Algorithms using C and C++ come with a certificate?

Yes — Udemy lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.

Is Mastering Data Structures & Algorithms using C and C++ suitable for beginners?

Yes. Udemy lists it at Beginner level, so no prior experience in the subject is assumed.

What does Mastering Data Structures & Algorithms using C and C++ cover?

It is organised into 20 modules, starting with Before we Start and going on to Essential C and C++ Concepts, Required Setup for Programming, Introduction, Recursion, among others. The full outline is on this page.