Data structures and algorithms list of topics

DSA topics
Data Structures is one of the foundation courses in Computer Science.
Essentially, it includes concepts such as stacks, queues, graphs, algorithm analysis, sorting algorithms, linked lists, and set implementations (binary search trees and hash tables)..
How many topics are there in DSA?
Cover key topics in Data Structures and Algorithms (DSA): arrays, linked lists, trees, sorting, searching, graphs, dynamic programming, and algorithm complexity (Big O notation)..
Types of data structure
Usually, it takes 2-3 months to learn the basics and then a rigorous, six months regular practice of questions to master data structures and algorithms..
What are the main topics of data structures and algorithms?
Summary of key points
Common data structures include arrays, linked lists, stacks, queues, trees, and graphs.
Algorithms are sets of steps for solving problems.
Basic algorithms include sorting, searching, and recursion.
Advanced algorithms include machine learning, genetic algorithms, and artificial intelligence..
What are the topics of DSA in C++?
Mostly Used Data Structures in C++:
Arrays: An Array is a collection of elements which have the same data type, and they are stored in a contiguous fashion in the memory. Linked Lists: Stacks: Queues: Trees: Graphs: Sorting Algorithms: Searching Algorithms:.

Basic Data Structures

Syllabus:

Basic Data Structures: Arrays, Strings, Stacks, Queues.
Asymptotic analysis (Big-O notation)
Basic math operations (addition, subtraction, multiplication, division, exponentiation)
Sqrt(n) primality testing.
Euclid's GCD Algorithm.
Basic Recursion.
Greedy Algorithms.
Basic Dynamic Programming.

The syllabus for Foundation level is mentioned below:

Basic Data Structures: Arrays, Strings, Stacks, Queues.
Asymptotic analysis (Big-O notation)
Basic math operations (addition, subtraction, multiplication, division, exponentiation)
Sqrt(n) primality testing.
Euclid's GCD Algorithm.
Basic Recursion.
Greedy Algorithms.

DSA topics