Data Structures and Algorithms in C Course

4.3 (166 reviews)
  • 5 Lessons
  • 336 Students
  • Certificate of completion

This Data Structures and Algorithms using C# course provides a comprehensive explanation of data structures like linked lists, stacks and queues, binary search trees, heap, searching and hashing. Various sorting algorithms with implementation and analysis are included.

To Register in Course you have to watch at least 30 Second of any lesson

What You'll Learn

  • Implement linked lists, stacks, and queues efficiently for real-world data management tasks using C#
  • Design and analyze binary search trees, heaps, and hashing techniques for optimized data retrieval in C#
  • Apply various sorting algorithms to solve problems and improve performance in C# applications
  • Evaluate and select appropriate data structures and algorithms for specific programming challenges in C#

Course Content

5 Lessons • 34 m total

How to Get The Certificate

  • You must have an Account on the platform.
  • Complete all lessons.
  • Watch at least 50% of Lesson Duration.
  • Get your Certificate free 🎉 !

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4.3 (166 reviews)

Overall rating

  • 5.0 45%
  • 4.0 45%
  • 3.0 8%
  • 2.0 0%
  • 1.0 2%

Reviews

Tsungai MATANDA

· 1w ago

great course

SUJITH R

· 3w ago

Good

Vasanth Kumar

· 3w ago

excellent

Avula Srisha Dhangar

· 1mo ago

0

Divyanshi Mahra

· 2mos ago

nice

Roland marc Yu

· 4mos ago

nice

Aarti Gupta

· 5mos ago

it was an interesting and amazing lessons

Sachman Singh Gurpreet Singh Chadha

· 6mos ago

excellent

Jaheer Ammal.S

· 7mos ago

Very useful for me and good experience

Varshitha bai BTech CSE DS

· 7mos ago

Very very good

Shilpa.V

· 7mos ago

Good

SAVANTH DS

· 8mos ago

Good

Data Structures and Algorithms in C Course Description

This Data Structures and Algorithms using C# course provides a comprehensive explanation of data structures like linked lists, stacks and queues, binary search trees, heap, searching and hashing. Various sorting algorithms with implementation and analysis are included.

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Course Intro