10 Best Data Structure and Algorithms Courses to Enroll in 2022 For Steep Career Advancement

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Programming has always been a highly in-demand skill across all industries of Computer Science, Technology, and Software Development domain. It plays a vital role in all types of Information Technology sector. According to the Bureau of Labor Statistics (BLS), Computer Science and Information Technology employment will grow by 13% between 2020 and 2030. Any Software engineering student doing good programming can easily get a job at IT companies, hospitals, or even at an automotive manufacturer because in today’s world programming is everywhere.

Data Structure and Algorithms form the strong foundation of programming in students. It is a field where insights and predictions are derived from data using algorithms and scientific methods. In today’s date, the inclination of a large group of youth towards a Programming Career has increased exponentially. Programming skills are required in various in-demand and high-paying jobs like Artificial Intelligence Engineer, Web Developer, Database Administrator, Data Scientist, Java Developer, Mobile Application Developer, and Cloud Architect.

Top 10 Best Data Structure and Algorithms Courses for 2022

Here are the top 10 Best Data Structure and Algorithms Courses available in 2022 for the career advancement of students:

Data Structures and Algorithms Course by Scaler Academy

Scaler’s program is one of the best courses to learn & master DSA online. Scaler Academy Program’s Data Structures and Algorithms module provides students with a structured, industry-vetted curriculum. The course has 2 specializations, namely, Backend Specialisation and Fullstack Specialisation, both of 15 weeks. In this course, you will get the opportunity to work on real industry projects built in partnership with top companies. Thanks to it being an integrated course, applicants undertaking it can not only master DSA but also upskill themselves with the knowledge of other advanced topics of software development such as Web development, System Design, concurrent programming, etc. to name a few.

Course Syllabus:

Introduction to Programming (Decision trees, Loops, strings)
Programming Constructs like Structures, Unions & Dynamic Arrays, Asymptotic notations
Problem Solving & CS Fundamentals
- Time Complexity, Arrays, Strings, Binary Search, 2 Pointers, Recursion, Hashing, Sorting, Bit manipulation
- Stacks, Queues, Linked Lists, Trees, Tries, Heap
- Greedy, DP, Graphs, DB, OS, and Computer Networks
Backend Specialisation
Fullstack Specialisation
Additional electives like Advanced DSA (Combinatorics and Probability, Matrix exponentiation, Advanced Trees, Advanced Graphs)

Course Highlights:

Structured, industry-vetted curriculum taught through live classes
Intensive practical experience through real-life projects and applications
Access to 20K+ student community
Regular 1:1 mentorship from product industry veterans
End to end career support through mock interviews, profile building, and referral networks
Course Completion Certificate

Course Level: The curriculum of the Scaler Academy program is designed to make you a Solid Engineer and a Master at DSA. Based on a simple 30 minutes MCQ test, you enter Beginner / Intermediate / Advanced sections.

Course Duration: 11-13 months

Course Fee: INR 2.5 L inclusive of GST with a full money-back guarantee in the first 2 weeks if you choose to withdraw. You also get scholarships up to INR 25,000 and super affordable EMI options.

Check: Scaler By InterviewBit, Karnataka Courses and Fees

Data Structure and Algorithm in Python - Udemy

This course of Data Structure and Algorithm by using Python provides students with a detailed understanding of Data Structures and Algorithms through various powerful animations. This Data Structures in Python course covers the following topics with Python implementation: Algorithm Analysis, Big O notation, Time complexity, Singly linked list, Reversing a linked list, Doubly linked list, Circular linked list, Linked list concatenation, Sorted linked list.

Stack, Queue, Circular Queue, Dequeue, Priority queue, Polish Notations, Infix to Postfix, Evaluation of Postfix, Binary Tree, Binary Search Tree, Tree Traversal (inorder, preorder, postorder, level order), Heap, Searching, Hashing.

Sorting: Selection, Bubble, Insertion, Shell, Merging, Recursive Merge, Iterative Merge, Quick, Heap, Binary tree, Radix, Address calculation sort

Course Syllabus:

Introduction to Data Structures and Algorithms
Algorithm Analysis
Linked List
Stack and Queue
Binary Tree
Binary Search Tree
Heap
Sorting
Searching
Hashing

Course Highlights:

Understand the details of Data Structures and algorithms through animations
Learn to write programs for different Data Structures and Algorithms in Python
Get the confidence to face programming interviews
Test your knowledge with over 100 Quiz questions
Learn how to analyze algorithms
Get the ability to write and trace recursive algorithms

Course Level: Intermediate

Prerequisites for Course: Basic Knowledge of Programming in Python

Course Fees: INR 455 (discounted price)

Easy to Advanced Data Structures - Udemy

Easy to Advanced Data Structures by Udemy is a complete guide to learning everything about Data Structure. The students get the knowledge of how to create and design good data structures is an essential skill required in becoming an exemplary programmer. The DSA course teaches students to master the fundamental ideas surrounding data structures.

Course Syllabus:

Introduction to Data Structures and Algorithms
Dynamic Arrays
Queues & Stacks
Heap & Priority Queues
Hash Table and Associative Array
Algorithms associated with Data Structures
Singly and Doubly Linked List
Binary Trees and Binary Search Trees
Union find/Disjoint set and Fensick tree/Binary indexed tree

Course Highlights:

A mature understanding of data structures
Dynamic arrays
Singly and doubly linked list
Queues & Stacks
Binary Trees and Binary search trees
Heaps & Priority queues
Union find/Disjoint set
Hash table/Associative array
Fenwick tree/Binary indexed tree

Course Level: Intermediate

Prerequisites for Course: Basic Knowledge of Programming in Python

Course Fees: INR 455 (discounted price)

Algorithms, Part 1 - Coursera

The course emphasizes applications and scientific performance analysis of Java implementations. All the features of this DSA course are available for free. It does not offer a certificate upon completion. Princeton University and Coursera both offer this course. The focus of this is on the essential facts regarding data structures and algorithms that you need to know. This program teaches students how to develop their abilities from intermediate to expert.

Course Syllabus:

Introduction to Data Structures and Algorithms
Data Structure
Algorithms
Java Programming

Course Highlights: Part I focuses on elementary data structures, sorting, and searching. Topics include union-find, binary search, stacks, queues, bags, insertion sort, selection sort, shell sort, quicksort, 3-way quicksort, mergesort, heapsort, binary heaps, binary search trees, red−black trees, separate-chaining and linear-probing hash tables, Graham scan, and kd-trees.

Course Level: Intermediate

Course Duration: 54 Hours

Algorithms, Part 2 - Coursera

The course emphasizes applications and scientific performance analysis of Java implementations. Part I covered elementary data structures, sorting, and searching algorithms. Part II focuses on graphs and string-processing algorithms. All the features of this course are available for free. It does not offer a certificate upon completion. This intermediary course from Princeton and Coursera tackles more complex subjects as a follow-up to Algorithms Part I. The students will learn how to employ graph-processing methods in particular. Algorithms for string processing will also be covered.

Course Syllabus:

Introduction to Data Structures and Algorithms
Data Structure
Algorithms
Java Programming

Course Highlights: Part II focuses on the graph and string-processing algorithms. Topics include depth-first search, breadth-first search, topological sort, Kosaraju−Sharir, Kruskal, Prim, Dijkstra, Bellman−Ford, Ford−Fulkerson, LSD radix sort, MSD radix sort, 3-way radix quicksort, multiway tries, ternary search tries, Knuth−Morris−Pratt, Boyer−Moore, Rabin−Karp, regular expression matching, run-length coding, Huffman coding, LZW compression, and the Burrows−Wheeler transform.

Course Level: Intermediate

Course Duration: 63 Hours

Data Structures and Algorithms Specialization - Coursera

This course provides students with Master Algorithmic Programming Techniques. Advance your Software Engineering or Data Science Career by Learning Algorithms through Programming and Puzzle Solving. Its courses help students with coding interviews by implementing each algorithmic challenge in this specialization. Apply the newly-learned algorithmic techniques to real-life problems, such as analyzing a huge social network or sequencing a genome of a deadly pathogen.

Course Syllabus:

Debugging
Software Testing
Algorithms
Data Structure
Computer Programming
Data Structure
Computer Programming
Dynamic Programming
Binary Search Tree

Course Highlights:

Algorithmic techniques (greedy algorithms, binary search, dynamic programming, etc.) and data structures (stacks, queues, trees, graphs, etc.) to solve 100 programming challenges that often appear at interviews at high-tech companies. Get instant feedback on whether your solution is correct.
Learn exactly the same material as undergraduate students in “Algorithms 101” at top universities and more.
Apply the newly learned algorithms to solve real-world challenges.
You will learn how to assemble genomes from millions of short fragments of DNA and how assembly algorithms fuel recent developments in personalized medicine.

Course Level: Intermediate

Course Duration: 8 Months

Data Structures and Algorithms by Geeksforgeeks

Data Structures and Algorithms by Geeksforgeeks is built with years of experience by industry experts and provides students with a complete package of video lectures, practice problems, quizzes, discussion forums, and contests. It is a self-paced course that has been divided into 8 weeks of curriculum. The questions in this self-paced course will further help students to prepare for SDE interviews with top-notch companies like Microsoft, Amazon, Adobe, and other top product-based companies.

Course Syllabus: Learn from the basics, such as Analysis of Algorithms, Order of Growth and much more, Mathematics, Bit Magic, Recursion, Arrays, Searching, Sorting, Matrix, Hashing, Strings, Linked List, Stack, Queue, Deque, Tree, Binary Search Tree, Heap, Graph, Greedy Algorithm, Backtracking, Dynamic Programming, Trie, Segment Tree, Disjoint Set, and various Live Projects in Data Structures and Algorithms.

Course Highlights

Lifetime Access to the Course
Access to GeeksforGeeks Job Portal
Track-based Learning
Course Completion Certificate trusted by top companies
Quiz & Theory-based Learning
Assessment Tests

Course Level: Advanced

Course Duration: Self-paced

Course Fees: INR 2799

Programming, Data Structures And Algorithms Using Python - NPTEL

This course of Programming, Data Structure, and Algorithm using Python provides students with a detailed understanding of Data Structures and Algorithms through various coding programs. This course is an introduction to programming and problem-solving in Python. Using some motivating examples, the course quickly builds up basic concepts such as conditionals, loops, functions, lists, strings, and tuples. It goes on to cover searching and sorting algorithms, dynamic programming, and backtracking, as well as topics such as exception handling and using files. As far as data structures are concerned, the course covers Python dictionaries as well as classes and objects for defining user-defined data types such as linked lists and binary search trees.

Course Syllabus:

An informal introduction to Programming, Algorithms and Data Structure
Python: Types, expressions, Strings, Lists, and Tuples
Basic Algorithm Analysis, Arrays Vs List in Python
Dictionaries
Exception Handling, Basic Input/Output, and Handling Files
Backtracking: N Queens, recording all solutions
Abstract Datatypes, Classes, and Objects in Python
Efficient Evaluation of Recursive definitions

Course Highlights:

Learn to write programs for different Data Structures and Algorithms in Python
Test your knowledge with over 50 Assignment questions
Learning from the course is Free of Cost but one has to pay for giving the Certification Exam

Course Level: Basic

Prerequisites for Course: Basic Knowledge of Programming in Python

Course Fees: INR 1000 in India and INR 3000 outside India

Course Duration: 8 Weeks

Intro to Data Structures and Algorithms - Udacity

This course of Introduction to Data Structure and Algorithm provides students with technical knowledge of Programming. Technical interviews follow a pattern. If students know the pattern, they will be a step ahead of the competition. This course introduces students to common data structures and algorithms in python. Students can review frequently-asked technical interview questions and learn how to structure their responses. They will answer practice problems and quizzes to test their abilities. Students will get to practice mock interviews to get specific recommendations for improvement.

Course Syllabus:

Introduction and Efficiency
List-Based Collections
Searching and Sorting
Maps and Hashing
Trees
Graphs
Case Studies in Algorithms
Technical Interviewing
Practice Interview

Course Highlights:

Reach learning Content
Interactive Quizzes
Taught by Industry Pros
Self-Paced Learning

Course Level: Intermediate

Prerequisites for Course: Basic Knowledge of Programming in Python, Basic Knowledge of Algebra, Proficient in Spoken and written English

Course Fees: Free

Course Duration: Approx. 4 Weeks

Mastering Data Structures & Algorithms using C and C++ - Udemy

This course of Data Structure and Algorithm by using C and C++ provides students with a detailed understanding of Data Structures and Algorithms through various video series. The course covers various important topics of Data Structures and Algorithms. Students are taught Sorting Algorithms like Quick Sort, Merge Sort and Selection Sort. Students develop their analytical skills in Data Structure and use them efficiently.

Course Syllabus:

Essential C and C++ Concepts
Required Setup for Programming
Introduction
Recursion
Arrays Representations
Array ADT
Strings
Matrices
Sparse Matrix and Polynomial Representation
Linked List, Stack, Queues, Trees
Binary Search Tree, AVL Trees, Search Trees, Heap
Sorting and Hashing Techniques, Graphs and Asymptotic Notations

Course Highlights:

Get the ability to write and trace recursive algorithms
Learn how to analyze algorithms
Learn to write programs for different Data Structures and Algorithms in C and C++

Course Level: Intermediate

Prerequisites for Course: Basic Knowledge of Programming in C and C++

Course Fees: INR 700 (discounted price)

Course Duration: 53 Hours

Conclusion

Data Structures and Algorithms are the core part of programming knowledge. It helps students in designing the best optimal solution for any problem. It enhances the problem-solving skills of the students. Mastering DSA helps students with the step-by-step approach for doing well at any programming job. It also improves the efficiency of the Computer programs. Thus to learn DSA in-depth and to become a great developer, you should consider enrolling in the best Data structure and algorithms courses like the Scaler Academy program, which prepares students for top tech interviews and help them advance their careers. Through this course, students also gain practical experience by working on real-world projects. Besides improving fundamental DSA skills, Scaler’s instructors and mentors are well-equipped to assist candidates with behavioral interviews.

We hope this blog helped you to gain more insights regarding the best Data Structures and Algorithms Courses you should enroll in 2022.