Data Structure & Algorithm Play Trailer

Data Structure & Algorithm

This course can be the best course for you to remember this subject easily and with the help of various techniques and get good marks in the exam. If you do not understand any subject, there is direct mentor support. Moreover, you can increase your skills

Institute Name: EduCity Engineering Zone

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Last Updated : 19 September 2024

What you will learn in this course

  • Describe array, pointer and string.
  • Explain Stack.
  • State Queue, De-queue.
  • Explain the concept of linked list.
  • Describe traversing, searching, insertion & deletion in linked list.
  • Explain tree structure.
  • Describe the operation of Searching.
  • Describe the operation of different types of Sorting.
Requirements

internet connection, computer, mobile or a smart device, pen-paper & other stuff for taking down notes

Syllabus

Data structures and algorithms are essential tools in computer science and engineering.
A well-designed data structure and algorithm can improve the performance of software
systems, reduce memory usage, and provide better user experiences. A data structure is
a way of organizing data in memory so that it can be accessed and used efficiently. The
most common data structures include arrays, linked lists, stacks, queues and trees. An
algorithm is a step-by-step procedure for solving a problem or performing a task. Some
common algorithms include searching, sorting, and path finding. By understanding the
different types of data structures and algorithms, developers can choose the best option
for a specific problem and optimize the performance of software systems.

Who is this course for:

-> For Diploma Students

Course Content

9 sections . 9 lectures . Total length ০৫ ঘণ্টা ৪৮ মিঃ

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ডাটা স্ট্রাকচার

1 lectures
59 minutes

Lecture - 1

Preview ০০:৫৯:১৩

অ্যালগরিদম

1 lectures
34 minutes

Lecture - 1

Preview ০০:৩৪:৫৫

অ্যারে, পয়েন্টার এবং স্ট্রিম

1 lectures
31 minutes

Lecture - 1

Preview ০০:৩১:৩০

স্ট্যাক ডাটা স্ট্রাকচার

1 lectures
01 hour 04 minutes

Lecture - 1

০১:০৪:৪৬

কিউ ডাটা স্ট্রাকচার

1 lectures
25 minutes

Lecture - 1

০০:২৫:২৯

লিংকড লিস্ট

1 lectures
36 minutes

Lecture - 1

০০:৩৬:৩৩

ট্রি ডাটা স্ট্রাকচার

1 lectures
36 minutes

Lecture - 1

০০:৩৬:৫১

সার্চিং অপারেশন

1 lectures
16 minutes

Lecture - 1

০০:১৬:২৬

সর্টিং অপারেশন

1 lectures
42 minutes

Lecture - 1

০০:৪২:৪৭
Instructor

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52 Students

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