Data Structures

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What Are Data Structures?

A data structure is a format for organizing, processing, retrieving and storing data so it can be easily accessed and effectively used. There are several basic and advanced data structures; they’re created to arrange data to make it useful for a specific purpose. At their core, data structures are intended to frame information in a way that makes that information clear and easily accessible to both humans and machines.

4 Types of Data Structures

  1. Linear data structures
  2. Tree data structures
  3. Hash tables
  4. Graph data structures

 

Structured vs. Unstructured Data: What’s the Difference?

Structured and unstructured data differ in many ways, however, the primary difference between the two is that structured data is defined and searchable while unstructured data is contained in its native form. There is vastly more unstructured data in existence, which makes up 80 percent of all enterprise data. This percentage continues to grow, which presents opportunities for forward-thinking businesses to mine data insights.

Other differences include:

Related Reading From Built In Experts8 Common JavaScript Data Structures

 

What Are Different Data Structures?

The four basic data structure types are linear data structures, tree data structures, hash data structures and graph data structures.

 

1. Linear Data Structures

Linear data structures include arrays, or finite groups of data, with memory locations that allow elements to be accessed through an index key and linked lists. Linked lists order elements within a list so they can be sporadically placed within memory.

 

2. Tree Data Structures

Tree data structures are hierarchical and present a root value with subsets of children that are represented as linked nodes. Tree data structures come in many varieties with several distinct characteristics, including binary trees, binary search trees, red-black trees, weight-balanced trees and binary heaps.

 

3. Hash Tables

Hash tables map keys to values, abstracted by additional behaviors through the use of high-level programming languages. Some variations of hash tables include separate chaining and linear probing.

More on Built In’s Expert Contributors NetworkHow Do You Use Data Structures and Algorithms in Python?

 

4. Graph Data Structures

Graph data structures are implemented through graph theory principles, utilizing nodes and edges to weigh graphs and represent the directional flow of networks.

Data Structures Crash Course. | Video: CrashCourse

 

Data Structures and Algorithms: What’s the Difference?

Data structures and algorithms are entirely different concepts. Data structures represent data relationships and provide methods of sorting and accessing data effectively. Algorithms are a detailed set of instructions that computer software, web pages, programs and hardware use to complete a task. 

Algorithms are well-defined, finite sequences of instructions you can be implement with a computational system to reach a repeatable goal. Some examples of algorithms include sorting algorithms, searching algorithms and shortest path algorithms. Each provides a way for a computer to not only access necessary existing data but also to respond to a command in order to complete a task. We can design algorithms to be efficient for specific data structures. If an algorithm is designed for a specific data structure, using it with a different data structure will lead to inefficiencies in the results.

Courses

Expand Your Data Structures Career Opportunities

Grow your data structure capabilities and other in-demand skills through one of Udemy’s expert-led courses.

Udemy

Topic: 

Master Advanced Data Visualization, Data Preprocessing, Data Wrangling in Python with Industry Level Projects

 

What you'll learn:

  • Learn about python variables…

4.6
(93)
Udemy

Topic: 

Learn, Analyse and Implement Data Structure using C and C++. Learn Recursion and Sorting.

 

What you'll learn

  • Learn various Popular Data Structures and their…

4.6
(24258)
Udemy

Topic: 

Go from zero to hero in the most important algorithms and data structures using Java

 

What You'll Learn: 

  • Gain Confidence for Coding Interviews
  • Learn The…
4.7
(5310)
Udemy

Topic: 

A guide to implement data structures, graph algorithms and sorting algorithms from scratch with interview questions!

 

What You'll Learn: 

  • Understand arrays and linked…
4.4
(3618)
Certifications

Data Structures Certifications + Programs

Send your career’s possibilities sky-high by earning a data science certification from Udactiy.

General Assembly’s Data Science part-time course is a practical introduction to the interdisciplinary field of data science and machine learning, which lies at the intersection of computer science, statistics, and business. You will learn to use the Python programming language to acquire, parse, and model data for informing business strategy. 

This is a fast-paced course with some prerequisites. Students should be comfortable with programming fundamentals, core Python syntax, and basic statistics. There is an option to complete up to 25 hours of online preparatory lessons. Talk to the General Assembly Admissions team to discuss your background and confirm if this is the right fit for you..

 

What you'll accomplish

A significant portion of the course is a hands- on approach to fundamental modeling techniques and machine learning algorithms. You’ll also practice communicating your results and insights by compiling technical documentation and a stakeholder presentation. Throughout this expert-designed program, you’ll:

  • Perform exploratory data analysis with Python.
  • Build and refine machine learning models to predict patterns
  • from data sets.
  • Communicate data-driven insights to technical and non-technical audiences alike.
  • Apply what you’ve learned to create a portfolio project: a predictive model that addresses a real-world data problem.

 

Why General Assembly

Since 2011, General Assembly has graduated more than 40,000 students worldwide from the full time & part time courses. During the 2020 hiring shutdown, GA's students, instructors, and career coaches never lost focus, and the KPMG-validated numbers in their Outcomes report reflect it. *For students who graduated in 2020 — the peak of the pandemic — 74.4% of those who participated in GA's full-time Career Services program landed jobs within six months of graduation. General Assembly is proud of their grads + teams' relentless dedication and to see those numbers rising. Download the report here.

 

Your next step? Submit an application to talk to the General Assembly Admissions team


 

Note: reviews are referenced from Career Karma - https://careerkarma.com/schools/general-assembly

 

Udacity
Advanced
4 months
5-10 hours

General Assembly’s Data Science Immersive is a transformative course designed for you to get the necessary skills for a data scientist role in three months. 

The Data Science bootcamp is led by instructors who are expert practitioners in their field, supported by career coaches that work with you since day one and enhanced by a career services team that is constantly in talks with employers about their tech hiring needs.

 

What you'll accomplish

As a graduate, you will be ready to succeed in a variety of data science and advanced analytics roles, creating predictive models that drive decision-making and strategy throughout organizations of all kinds. Throughout this expert-designed program, you’ll:

  • Collect, extract, query, clean, and aggregate data for analysis.
  • Gather, store and organize data using SQL and Git.
  • Perform visual and statistical analysis on data using Python and its associated libraries and tools.
  • Craft and share compelling narratives through data visualization.
  • Build and implement appropriate machine learning models and algorithms to evaluate data science problems spanning finance, public policy, and more.
  • Compile clear stakeholder reports to communicate the nuances of your analyses.
  • Apply question, modeling, and validation problem-solving processes to data sets from various industries to provide insight into real-world problems and solutions.
  • Prepare for the world of work, compiling a professional-grade portfolio of solo, group, and client projects.

 

Why General Assembly

Since 2011, General Assembly has graduated more than 40,000 students worldwide from the full time & part time courses. During the 2020 hiring shutdown, GA's students, instructors, and career coaches never lost focus, and the KPMG-validated numbers in their Outcomes report reflect it. *For students who graduated in 2020 — the peak of the pandemic — 74.4% of those who participated in GA's full-time Career Services program landed jobs within six months of graduation. General Assembly is proud of their grads + teams' relentless dedication and to see those numbers rising. Download the report here.

 

Your next step? Submit an application to talk to the General Assembly Admissions team


 

Note: reviews are referenced from Career Karma - https://careerkarma.com/schools/general-assembly

 

Udacity
Advanced
4 months
5-10 hours

In this program, you’ll plan, design and implement enterprise data infrastructure solutions and create the blueprints for an organization’s data management system. You’ll create a relational database with PostGreSQL, design an Online Analytical Processing (OLAP) data model to build a cloud based data warehouse, and design scalable data lake architecture that meets the needs of Big Data. Finally, you’ll learn how to apply the principles of data governance to an organization’s data management system.

Udacity
Advanced
4 months
5-10 hours
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