## Overview

Data structures and algorithms is a learning path that involves the study of how to effectively store, retrieve, and manipulate data in a computer program. This includes understanding different types of data structures such as arrays, linked lists, trees, and graphs, as well as algorithms that can be used to manipulate these structures in different ways.

Learning data structures and algorithms helps developers to create more efficient and effective software solutions by choosing the appropriate data structure and algorithm for a particular problem. It is also a fundamental concept in computer science and is often a required subject in computer science degree programs.

There are many resources available for learning data structures and algorithms, including online courses, textbooks, and practice problems. Some common topics that may be covered in a data structures and algorithms learning path include sorting algorithms, searching algorithms, graph algorithms, and data compression techniques.

## Jobs you expect

There are many jobs that involve data structures and algorithms as a core part of the role. Some examples include:

- Software engineer: Software engineers design, develop, and maintain software applications and systems. They often work with data structures and algorithms to create efficient and effective solutions to problems.
- Data scientist: Data scientists use data structures and algorithms to analyze large sets of data and draw insights from it. They may use algorithms such as machine learning to analyze patterns and make predictions.
- DevOps engineer: DevOps engineers work with both software development and operations to improve the efficiency and reliability of software systems. They often use data structures and algorithms to optimize processes and automate tasks.
- Research scientist: Research scientists use data structures and algorithms to conduct research in fields such as computer science, mathematics, and engineering. They may work in academia or in industry.
- Data analyst: Data analysts use data structures and algorithms to analyze and interpret large sets of data. They may work in a variety of industries including finance, marketing, and healthcare.

## Universities & Schools

## Certificates

# Data structures and algorithms

You made the decision, now it's time to enhance it and gain the depth of knowledge you need to advance.

# Data structures and algorithms

You made the decision, now it's time to enhance it and gain the depth of knowledge you need to advance.

## Overview

Data structures and algorithms is a learning path that involves the study of how to effectively store, retrieve, and manipulate data in a computer program. This includes understanding different types of data structures such as arrays, linked lists, trees, and graphs, as well as algorithms that can be used to manipulate these structures in different ways.

Learning data structures and algorithms helps developers to create more efficient and effective software solutions by choosing the appropriate data structure and algorithm for a particular problem. It is also a fundamental concept in computer science and is often a required subject in computer science degree programs.

There are many resources available for learning data structures and algorithms, including online courses, textbooks, and practice problems. Some common topics that may be covered in a data structures and algorithms learning path include sorting algorithms, searching algorithms, graph algorithms, and data compression techniques.

## Jobs you expect

There are many jobs that involve data structures and algorithms as a core part of the role. Some examples include:

- Software engineer: Software engineers design, develop, and maintain software applications and systems. They often work with data structures and algorithms to create efficient and effective solutions to problems.
- Data scientist: Data scientists use data structures and algorithms to analyze large sets of data and draw insights from it. They may use algorithms such as machine learning to analyze patterns and make predictions.
- DevOps engineer: DevOps engineers work with both software development and operations to improve the efficiency and reliability of software systems. They often use data structures and algorithms to optimize processes and automate tasks.
- Research scientist: Research scientists use data structures and algorithms to conduct research in fields such as computer science, mathematics, and engineering. They may work in academia or in industry.
- Data analyst: Data analysts use data structures and algorithms to analyze and interpret large sets of data. They may work in a variety of industries including finance, marketing, and healthcare.