Data Structures and Algorithms Certification

Top Data Structures and Algorithms Certification Programs

Data structures and algorithms are two important topics in computer science. Because without good data structures, a programmer cannot develop good algorithms. This article will cover the various data structures and algorithms certification programs that exist today and what it takes to complete them.

Our Top 10 Picks

Udacity Logo
Data Structures and Algorithms Nanodegree Program
Best overall algorithms certification
UC San Diego Logo
MicroMasters® Program in Algorithms and Data Structures
Best online graduate-level certification
Georgia Tech
Professional Certificate in Data Structures and Algorithms
Best for learning a variety of data structures
New York University
MicroBachelors® Program in Programming & Data Structures
Best for gaining academic credits
Codecademy
Data Structures and Algorithms with Python Certificate
Best for building a portfolio
UColorado Boulder
Data Science Foundations: Data Structures and Algorithms Specialization
Best advanced-level courses
UC San Diego Logo
Data Structures and Algorithms Specialization
Best for algorithmic puzzles
Dataquest
Data Structures Fundamentals Course
Best data structures courses for beginners
Pluralsight
Programming Data Structures in R Learning Path
Best R data structures courses
Dataquest
Data Structures in R Course
Best free data structures courses

1. Data Structures and Algorithms Nanodegree Program (Udacity)

Udacity Logo

Take the plunge and learn over 100 data structures and algorithm exercises to help prepare you for interviews and on-the-job scenarios. In the Data Structures and Algorithms Nanodegree Program, you will also get access to a technical mentor to help you with your training.

Throughout the program, you will learn how to solve 80+ practice problems related to data structures and algorithms. By the end of the program, you will be able to use this knowledge to create a solution that is best suited for open-ended data science and programming problems.

Courses

  1. Introduction to Data Structures and Algorithms – Take the first step in becoming a data scientist and understand how to structure and solve problems with data. This introductory course will teach you the essential skills you need to know to get up and running with Python.
  2. Data Structures – Get a better understanding of how data is organized and managed, and find the right data structures for the task at hand. In this course, you will learn how to store data using different data structures, how to manipulate data using different methods, and how to approach open-ended problems.
  3. Memory Management – Learn algorithms and data structures in a self-paced and interactive way. This course will teach you how to search and sort data, use recursion, and implement basic algorithms. You will also learn about the efficiency of these algorithms and how to implement them in a variety of ways.
  4. Advanced Algorithms – Learn how to apply algorithms to solve problems quickly and efficiently. This course is designed for programmers who want to gain an understanding of the inner workings of algorithms and improve their code writing and optimization skills.

Skills Acquired

  • Data Structures
  • Algorithms
  • Python
  • Syntax and Functions
  • File Recursion
  • Data Storage
  • Searching and Sorting
  • Brute-Force Greedy Algorithms
  • Graph Algorithms
  • Dynamic Programming
  • Optimization
  • PREREQUISITES: This program requires intermediate programming knowledge in Python and basic algebra skills.

2. MicroMasters® Program in Algorithms and Data Structures (UC San Diego)

UC San Diego

Gain mastery of data structures and algorithm design. Whether you are a student or a professional, their online MicroMasters® Program in Algorithms and Data Structures from UC San Diego will provide you with in-depth knowledge of data structures, design and implementation of algorithms, and principles of software engineering.

This 8 graduate-level course program covers graph algorithms, NP-complete problems, string processing, pattern-matching, machine learning applications, and graph algorithms in genome sequencing. Finally, you’ll wrap this program with a capstone project by building your own software for solving a challenge.

Skills Acquired

  • Algorithmic Design and Techniques
  • Data Structures Fundamentals
  • Graph Algorithms
  • NP-Complete Problems
  • String Processing
  • Pattern Matching Algorithms
  • Applications In Machine Learning
  • Dynamic Programming
  • Genome Sequencing
  • Capstone Project
  • Minimum Spanning Tree Algorithms
  • Breadth-First Search
  • INFORMATION: This program consists of 8 graduate-level courses and takes 9 months to complete.

3. Professional Certificate in Data Structures and Algorithms (Georgia Tech)

Georgia Tech

The demand for data scientists, who can wrangle data and work with a variety of data structures and algorithms, is higher than ever. If you want to be prepared for this fast-paced industry, find out how to use the right tools in the Professional Certificate in Data Structures and Algorithms.

During this 4-course certificate program, you will study ArrayLists, LinkedList, Stacks, Queues, Binary Trees, Heaps, SkipLists, HashMaps, AVL, and 2-4 Trees, Divide and Conquer Algorithms, Pattern Matching, Dijkstra’s, MST, Dynamic Programming Algorithms, and more.

Skills Acquired

  • Linear Data Structures
  • Data Structure Performance
  • Nonlinear/Hierarchical Data Structures
  • Binary Trees
  • Hash Map
  • Tree Operations
  • Probabilistic Data Structures
  • Self-Balancing Techniques
  • Pattern Matching Algorithms
  • Divide and Conquer Sorting
  • Minimum Spanning Trees
  • Dynamic Programming
  • INFORMATION: This program consists of 4 skill-building courses and takes 5 months to complete.

4. MicroBachelors® Program in Programming & Data Structures (NYU)

New York University NYU

Learn from expert instructors from NYU and acquire skills to work efficiently with data structures and algorithms. This 4-course MicroBachelors® Program in Programming & Data Structures will first teach you introductory and advanced programming in C++.

Next, you will get an introduction to data structures in C++ including pointers, storage, recursion, searching, and sorting. Finally, this program will teach you more advanced topics like file processing, linked lists, stacks, queues, trees, binary search trees, and tree balancing algorithms.

Skills Acquired

  • Data Structures
  • Programming Development Lifecycle
  • Object-Oriented Programming
  • Inheritance and Polymorphism
  • Searching and Sorting Algorithms
  • Multi-Dimensional Arrays
  • Symbolic Debugger
  • Procedural Programming
  • Linked Lists
  • Stacks and Queues
  • Binary Search Trees
  • Balanced Trees
  • INFORMATION: This program consists of 4 high-quality courses and is eligible for academic credit.

5. Data Structures and Algorithms with Python Certificate (Codecademy)

Codecademy Logo

A certificate in Data Structures and Algorithms with Python from Codecademy will give you the knowledge and skills you need to create effective solutions for many real-world problems. Throughout the program, you will learn algorithms and data structures that form the backbone of computer programming.

Some of the data structures and algorithms this program covers include linked lists, queues, hash maps, graphs, and more in Python. Additionally, you will learn divide and conquer algorithms, graph search, and greedy algorithms like Dijkstra’s algorithm.

Skills Acquired

  • Data Structures
  • Algorithms
  • Nodes
  • Linked Lists
  • Doubly Linked Lists
  • Queues
  • Hash Maps
  • Recursion
  • Pattern Searching
  • Sorting Algorithms
  • Brute Force Algorithms
  • Trees
  • Breadth-First Search
  • Depth-First Search
  • Divide and Conquer
  • Heaps and Heapsort
  • Graph Search
  • Greedy Algorithms
  • Pathfinding Algorithms
  • INFORMATION: This 19-course program takes approximately 40 hours to complete.

6. Data Science Foundations: Data Structures and Algorithms Specialization (University of Colorado Boulder)

University of Colorado Boulder

The Data Science Foundations: Data Structures and Algorithms Specialization provides knowledge of data structures and algorithms, with a focus on data science implementation. This advanced-level program contains 3 skill-building courses and takes approximately 3 months to complete.

First, you’ll learn algorithms for searching, sorting, and indexing. Secondly, you’ll explore the basics of trees and graphs related to spatial data. Finally, the third and final course teaches dynamic programming with greedy algorithms.

Skills Acquired

  • Data Structure Design
  • Algorithm Design
  • Hash Tables
  • Graphs Algorithms
  • Intractability
  • Python Programming
  • Bloom Filters
  • Trees & Graphs
  • Binary Search Trees
  • K-Dimensional Trees
  • Greedy Algorithms
  • Divide and Conquer
  • INFORMATION: This advanced-level specialization consists of 3 online courses and takes approximately 3 months to complete.

7. Data Structures and Algorithms Specialization (UC San Diego)

UC San Diego

With the Data Structures and Algorithms Specialization from UC San Diego, you will gain the knowledge and skills to design, analyze and implement complex data structures and algorithms.

For example, you’ll study algorithms on graphs, strings, and advanced algorithms. By the end of this online specialization, you will be able to identify, analyze, and solve a wide range of data-related problems on your own.

Skills Acquired

  • Data Structures
  • Algorithms
  • Debugging
  • Dynamic Programming
  • Binary Search Trees
  • Priority Queue
  • Hash Tables
  • Graph Theory
  • String Algorithms
  • INFORMATION: This intermediate specialization consists of 6 courses that take approximately 8 months to complete.

8. Data Structures Fundamentals Course (Dataquest)

Dataquest

This online program is for those who are looking for an introductory course in data structures and algorithms. This program contains 4 high-quality courses that include linked lists, queues, stacks, and dictionaries.

Next, you will put your new skills into practice with 2 guided projects involving analyzing stock prices and evaluating numerical expressions. Overall, the Data Structures Fundamentals course from Dataquest will help you learn data structures and help you apply them in your day-to-day job.

Skills Acquired

  • Data Structures
  • Linked Lists
  • Queues, Stacks, and Dictionaries
  • LCFS Algorithm
  • FCFS Algorithm
  • String Representation
  • Separate Chaining
  • Guided Projects
  • INFORMATION: This program consists of 6 lessons with approximately 6 hours of coursework.

9. Programming Data Structures in R Learning Path (Pluralsight)

Pluralsight

The Programming Data Structures in R Learning Path from Pluralsight is a 4-course program with 6 hours of material. Whether you are a beginner or intermediate learner, you will receive expert instructions with a focus on R.

First, this course will introduce you to working with data types in R including programming R vectors and factors. Finally, you will learn the right data structure to store data such as using data frames, matrices, lists, and arrays.

Skills Acquired

  • Data Types and Structures
  • R Vectors and Factors
  • Data Frames
  • Matrices, Lists, and Arrays
  • Scalars
  • INFORMATION: This program consists of 4 courses with 6 hours of coursework.

10. Data Structures in R Course (Dataquest)

Dataquest

The Data Structures in R from Dataquest is a 4-course program that covers essential data structures. For instance, you’ll learn vectors, lists, matrices, and DataFrames.

But instead of just lecturing you on each topic, you will actually get to implement them through practice using R. Finally, at the end of this course you will get to create an effective real-world solution by investigating the Covid-19 virus trends in a guided project.

Skills Acquired

  • Data Structures
  • Vectors in R
  • Matrices in R
  • Lists
  • DataFrames
  • INFORMATION: This program consists of 6 lessons with approximately 6 hours of coursework.

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