Coursera

Data Structures in C (Coursera)

Offered by University of Michigan,
Data Structures in C (Coursera)

Covering dynamic memory allocation for optimizing memory utilization, Data Structures in C explores ways to handle multiple variables collectively. In this course, you’ll delve into the central concept of pointers for managing the storage and retrieval of memory. Explore and understand structures, a C-specific user-defined data type combining assorted data items.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

This course is part of the C Programming for Everybody Specialization.

What you'll learn

  • Create data structures in C
  • Understand the difference in structures between C and Python
  • Learn the potential security holes associated with C

Syllabus

Intro to Pointers
Pointers and Arrays
Part 1: Structures
Part 2: Structures

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Python Data Structures (Coursera) Coursera
University of Michigan

Python Data Structures (Coursera)

CS: Software Engineering CS: Programming

This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”. This course covers Python 3.

Sep 28th 2026
5-12 Weeks
Programming Python Semantics
Details
Writing, Running, and Fixing Code in C (Coursera) Coursera
Duke University

Writing, Running, and Fixing Code in C (Coursera)

CS: Software Engineering

Building on the course Programming Fundamentals, this course will teach you how to write code by first planning what your program should do—an important approach for novice and professional programmers. You will learn how to compile and run your program, and then how to test and debug it. This course builds on the Seven Steps you have already learned and provides a framework for systematically testing for problems and fixing them, so you can find and fix problems efficiently.

Sep 21st 2026
4 Weeks
Programming Testing Debugging
Details
C++ Basic Structures: Vectors, Pointers, Strings, and Files (Coursera) Coursera
Codio

C++ Basic Structures: Vectors, Pointers, Strings, and Files (Coursera)

CS: Programming

Code and run your first C++ program in minutes without installing anything! This course is designed for learners with limited coding experience, providing a solid foundation of not just C++, but core Computer Science topics that can be transferred to other languages. The modules in this course cover vectors, pointers, strings, and files. Completion of C++ Basics: Selection and Iteration before taking this course is recommended.

Sep 21st 2026
4 Weeks
C++ Vectors Pointers
Details
The Arduino Platform and C Programming (Coursera) Coursera
University of California, Irvine

The Arduino Platform and C Programming (Coursera)

CS: Software Engineering

The Arduino is an open-source computer hardware/software platform for building digital devices and interactive objects that can sense and control the physical world around them. In this class you will learn how the Arduino platform works in terms of the physical board and libraries and the IDE (integrated development environment). You will also learn about shields, which are smaller boards that plug into the main Arduino board to perform other functions such as sensing light, heat, GPS tracking, or providing a user interface display. The course will also cover programming the Arduino using C code and accessing the pins on the board via the software to control external devices.

Sep 14th 2026
4 Weeks
Programming Debugging Arduino
Details
Estructuras de datos en Python (Coursera) Coursera
Universidad Austral

Estructuras de datos en Python (Coursera)

CS: Programming

Este curso te dará ágil acceso a las estructuras de datos principales del lenguaje de programación Python en su versión 3.0. Una vez que termines este curso tendrás un conocimiento general de Python, que te permitirá realizar programas que trabajen con muchos datos tomados desde archivos de la computadora. Aquí podrás conocer cómo utilizar las estructuras de datos integradas en Python, como las listas, los diccionarios y las tuplas. Además entenderás cómo trabajar con archivos y el manejo de excepciones.

Sep 21st 2026
4 Weeks
Python Data Structures Dictionary
Details
Java Programming: Arrays, Lists, and Structured Data (Coursera) Coursera
Duke University

Java Programming: Arrays, Lists, and Structured Data (Coursera)

CS: Software Engineering CS: Programming

Build on the software engineering skills you learned in “Java Programming: Solving Problems with Software” by learning new data structures. Use these data structures to build more complex programs that use Java’s object-oriented features. At the end of the course you will write an encryption program and a program to break your encryption algorithm.

Sep 21st 2026
4 Weeks
Programming Java Cryptography
Details
Data Structures & Backend with Java (Coursera) Coursera
Board Infinity

Data Structures & Backend with Java (Coursera)

CS: Software Engineering

This comprehensive course delves deep into the nuances of data structures and backend development with Java. The curriculum is strategically designed across three core modules, seamlessly bridging the understanding of theory with practical application. In the first module, we delve into Java-based data structures, focusing on arrays, multi-dimensional arrays, the String class, and the Java Collections Framework. You'll gain a foundational understanding of efficient data storage and manipulation in backend development.

Sep 21st 2026
3 Weeks
Java Data Structures Java Programming
Details
Algorithmic Toolbox (Coursera) Coursera
University of California, San Diego,Higher School of Economics - HSE University

Algorithmic Toolbox (Coursera)

CS: Software Engineering CS: Theory

The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming. We will learn a lot of theory: how to sort data and how it helps for searching; how to break a large problem into pieces and solve them recursively; when it makes sense to proceed greedily; how dynamic programming is used in genomic studies. You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in less than a second).

Sep 14th 2026
5-12 Weeks
Algorithms Debugging Data Structures
Details