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Algorithms in C: Concepts, Examples, Code + Time Complexity

Algorithms are a central tenet to programming, and are essential to ensure that software and programs perform the right operations under the right conditions.

  • Expired Deal
  • Algorithms
  • C Programming
  • Data Structures
  • Time Complexity
  • Coding Course
  • Developer

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Algorithms in C: Concepts, Examples, Code + Time Complexity one-time plans on StackSocial
Time Complexity
IncludesLifetime Access; Certification Included; 3 hours content; Web streaming; Mobile streaming; For all levels

What is Algorithms in C: Concepts, Examples, Code + Time Complexity?

Description:

Algorithms are a central tenet to programming, and are essential to ensure that software and programs perform the right operations under the right conditions. Companies depend on their systems algorithms to function correctly, which means they'll pay top dollar for people who understand how to work with them. This course will help you to understand how to implement logic in code form to enable you to write algorithms efficiently in C.

- Access 32 lectures & 3 hours of content 24/7 - Learn the concepts behind the most popular algorithms used in computer science - Understand how algorithms work w/ the help of diagrams, examples & pseudocode - Practice algorithm implementation w/ the help of included programs in C language - Understand how to use algorithms to implement logic in any programming

Engineering Mentor is an online educational start-up, providing educational resources to IT and non-IT students. At Engineering Mentor, we create high quality resources in clear and easy to understand methods.

We have a team of qualified engineers who create resources to guide students through the toughest aspects of technical and non-technical education.

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Algorithms in C: Concepts, Examples, Code + Time Complexity questions

What does this course teach?

It is a beginner-to-intermediate programming course focused on algorithms in the C language. Topics include algorithm analysis, Big O notation, time complexity, sorting algorithms (bubble, insertion, merge, quicksort), searching, recursion, and common data structures.

Is this course still available?

The lifetime deal through GrabLTD and StackSocial has expired. The underlying course content may still be available through Udemy or similar platforms, but not at the promotional one-time price that was offered here.

Who is this course for?

Developers who know basic C syntax and want to understand how to write efficient code. It is also suited for students preparing for coding interviews where algorithm knowledge and time-complexity reasoning are tested.

Does the course cover data structures as well as algorithms?

Yes. Data structures including arrays, linked lists, stacks, queues, and trees are covered alongside the algorithms that operate on them, helping students understand the relationship between structure choice and performance.

What prior knowledge is required?

Basic familiarity with the C programming language is recommended. The course is not a C syntax primer — it assumes you can write simple programs and focuses on algorithm design and analysis on top of that foundation.

What are the best alternatives for learning algorithms today?

Coursera's Algorithms specialization by Stanford (Robert Sedgewick), MIT OpenCourseWare 6.006, and the Abdul Bari Algorithms course on Udemy are widely recommended free and paid options.

Is a certificate included?

StackSocial courses typically provide a certificate of completion. However, since this deal is expired the specific certificate details would depend on whether the course provider still honours historic purchases.

Often compared with

These are other tools in the same space, not deals on GrabLTD.

  • Coursera (Algorithms Specialization by Stanford)
  • Udemy (Abdul Bari — Mastering Data Structures & Algorithms)
  • MIT OpenCourseWare 6.006
  • LeetCode (for practice)
  • AlgoExpert

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