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Algorithms And Data Structures: What To Know

Updated: July 11, 2022 | Published: May 23, 2021

Updated: July 11, 2022

Published: May 23, 2021

Algorithms And Data Structures What To Know - Ester

What is Data Structure and Algorithms?

Computer programs consist of groups of data instructions in order to perform different tasks. To complete these specific tasks, programs store, retrieve, and compute data.

A data structure is a location where data is organized and stored. An algorithm is a list of steps or directions to solve problems in the program.

Learning the ins and outs of data structure and algorithms makes it possible to write skillful and productive computer programs.

Applications of Algorithms

Algorithms are a step-by-step equation which makes up a list of actions to perform a task in a program.

Algorithms are used for a number of different purposes and actions, such as:

  • Searching: Algorithms are used to search for an item withinthe data.
  • Sorting: Algorithms are used to sort different items into a specific order.
  • Inserting: Algorithms are used to insert items into the data structure.
  • Updating: Algorithms are used to update items in the data structure.
  • Deleting: Finally, algorithms can be used to delete items from the data.

Display of algorithms and data structures

Source: https://unsplash.com/photos/fSqYwKWzwhk

Why Learn Data Structure and Algorithms?

If you’re interested in learning to code, what are the benefits of learning data structure and algorithms?

Write Optimized Code

A firm knowledge about data structures and algorithms will allow you to make the best choices when choosing between different data structures and algorithms. You’ll learn which ones to use for effective programming for different projects or program issues.

Better Job Opportunities

Organizations such as Google and Facebook look for employees who have a good grasp of data structures and algorithms, and questions about such skills are frequently asked in job interviews.

Effective Use of Resources

Skills in data structures and algorithms allow you to write better code which will run faster, smoother, and require less storage in order to function.

How to Learn Data Structure and Algorithms

If you want to learn more about data structure and algorithms, the best way to become a pro is to learn from a class and do plenty of practice projects.

Take Courses

Online course platforms, such as Coursera, offer many courses on coding, programming, data structure, and algorithms. A good course can teach you the basics or take your foundational knowledge further so that you can begin to practice or build a portfolio for future job prospects.

Earn a Certificate

Earning a certificate in data structure and algorithms are easy to find online. The difference between taking a basic course online or earning a certificate is that you will be better prepared to show credentials at your next job interview. Of course, the knowledge is the important part, but it always helps to get a leg up in the work industry.

Hands-on Projects

Practice makes perfect. Hands-on projects will take your basic knowledge to the next level, and give you the confidence to work on bigger tasks or continue your education. Sometimes, working on projects can show you which areas you need improvement or more information.

Earn a Degree

If you’re interested in data structure and algorithms, you may benefit from earning a degree in computer science. University of the People offers associate’s and bachelor’s degrees in computer science completely online so that you can earn your degree in the way that works best for you. You can have more control over your schedule, location, and speed. University of the People is also tuition-free, so you can earn a degree without starting off your career in debt.

Student earning a degree in computer science from homeSource: https://unsplash.com/photos/sOObVT48N3I 

Wrapping Up

Good algorithms and data structures can go a long way in creating effective programs. In this article we went over the basics of what is data structures and algorithms, and discussed the benefits and options to gain more knowledge and skills in computer programming