Best Data Structures and Algorithms Courses (2023)
Here are 15 of the top data structures and algorithms courses available online. Companies like Google, Microsoft, and Facebook prioritize hiring programmers with knowledge of these topics, making them a sought-after skill for job seekers and those looking to improve their coding abilities. Online courses are an affordable and convenient way to learn, and can be valuable assets in interviews.
- IQCode Academy’s Data Structure and Algorithm Course
- Algorithms & Data Structures-Part 1 and 2 (Coursera)
- Data Structures-University of California San Diego
- Data Structures-by NPTEL
- CS50’s Introduction to Computer Science
- Introduction to Algorithms
- Data Structures and Algorithms Specialization Program (Coursera)
- Algorithms Specialization by Stanford University
- Free Algorithms Course by IIT Bombay (edX)
- Data Science Foundations: Data Structures and Algorithms Specialization
- Advanced-Data Structures-MIT Open courseware
- Programming Foundations: Algorithms
- Python Data Structures
- Master the Coding Interview: Data Structures + Algorithms
- Accelerated Computer Science Fundamentals Specialization by the University of Illinois
Conclusion
Data structures and algorithms are essential to computer science and development. These courses offer an affordable and convenient way to learn and improve skills in the field. With these top courses, anyone can become an expert.
Frequently Asked Questions
Q.1: Why are Data structures and algorithms important?
Data structures and algorithms are fundamental components of computer science and development, enabling efficient processing and storage of data.
Q.2: Can I learn Data Structures and Algorithms in Python?
Yes, many of the listed courses and resources offer education in Python.
Q.3: Where are Data structures and algorithms used?
Data structures and algorithms are used in a wide range of applications, including programming, software development, data analysis, and artificial intelligence.
Useful Resources
Check out these additional resources for learning data structures and algorithms:
– “Cracking the Coding Interview” by Gayle Laakmann McDowell
– “Data Structures and Algorithms Made Easy” by Narasimha Karumanchi
– “Grokking Algorithms” by Aditya Y. Bhargava.
BEST DATA STRUCTURES AND ALGORITHMS COURSES FOR 2023
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IQCode Academy’s Data Structure and Algorithm Course
IQCode Academy offers a comprehensive curriculum for Data Structure and Algorithms, suitable for all levels, including beginners, intermediates, and experts. The self-paced program covers the basics of programming and advanced concepts such as Graphs, Trees, Heap, DP, and more. The course aims to help you become an expert in DSA and ace product interviews.
Course Topics: Time Complexity, Arrays, Strings, Binary Search, 2- Pointers, Recursion Hashing, Sorting, Bit Manipulation, Stack, Queues, Linked Lists, Trees, Heap, Greedy Algorithms, DP, Graphs, Database Concepts, OS, and Computer Networks.
Duration: 44 weeks
Eligibility: Open to graduates of 2022
Price: Rs 3.59 lakhs. Monthly payment plans available as low as Rs. 8,370 with scholarship and EMI options.
Check out IQCode Academy’s Data Structure and Algorithm Course here: [https://bit.ly/3OxwaPD]
Course on Algorithms and Data Structures with Java Implementation
This free intermediate-level course is a great resource for serious programmers. It covers Java-based algorithms and data structures and their performance analysis. The course is divided into two parts.
In part 1, you will learn about basic data structures, sorting, and searching algorithms including Union-find, Stacks and Queues, Elementary sorts, Merge sort, Quicksort, Priority Queues, Elementary symbol tables, Balanced search trees, Geometric applications of BSTs, Hash Tables, Symbol table applications and analysis of algorithms.
Part 2 focuses on string and graph processing techniques.
You can set deadlines as per your schedule while completing the 53-hour course and obtain a certificate by paying the certification fee.
UC SAN DIEGO: DATA STRUCTURES
This online course covers common data structures used in computational problems. Learn how to implement them in various programming languages through programming assignments. Prerequisite is any object-oriented programming language. Gain understanding of built-in implementations and common applications of data structures. Topics include basic structures, dynamic arrays, priority queues, disjoint sets, hash tables, and binary search trees.
DURATION: Approximately 25 hours. You set deadlines.
LEVEL: Intermediate
PRICE: Free to enroll.
//Course Objectives:
//1. Cover common data structures utilized in computational problems.
//2. Teach implementation of data structures in various programming languages.
//3. Gain understanding of built-in implementations and common applications of data structures.
//Course Topics:
//1. Basic Structures (arrays, linked list, stacks, queues)
//2. Dynamic Arrays and Amortized Analysis
//3. Priority Queues and Disjoint Sets
//4. Hash Tables
//5. Binary Search Trees
NPTEL’s Data Structures Course
Learn efficient data storage, implementation of basic and advanced data structures, and techniques for data representation in real-world applications in NPTEL’s data structure course. This course covers a variety of topics including lists, arrays, stacks, trees, graphs, sorting, and file maintenance. The 12-week course is suitable for both undergraduate and postgraduate students. Enroll now to optimize algorithms with suitable data structures.
CS50: Introduction to Computer Science
CS50 is an introductory course offered by Harvard University for students from all backgrounds, whether they have programming experience or not. Taught by David J. Malan, this course covers topics such as algorithmic thinking, abstraction, data structures, resource management, security, and web development. The course includes real-world projects in domains such as economics, biology, encryption, and forensics, as well as game-inspired problem sets.
The course is self-paced and covers programming languages such as C, Python, SQL, JavaScript, CSS, and HTML. In-person students can take CS50, Harvard’s largest course. A certificate is awarded to students who successfully complete nine programming assignments and a final project. The course is 12 weeks long, introductory, and has no prerequisites.
Introduction to Algorithms
This MIT course provides an overview of computational problems, mathematical modeling, and the most common algorithms, algorithmic paradigms, and data structures used to solve them. You will also learn about the relationship between algorithms and programming, as well as basic performance measures and analysis techniques. The course is designed for undergraduate-level students with a basic understanding of Python and a strong foundation in discrete mathematics. There is no specified duration for this course.
Data Structures and Algorithms Specialization Program (Coursera)
The University of California, San Diego, and the National Research Institute Higher School of Economics offer a specialization program in algorithms and data structures. This program provides a solid blend of theory and practice. It consists of six courses, where students learn the theory underlying algorithms, implement them in a programming language of their choice, and use them to solve real-world problems. The first two courses cover basic algorithmic techniques, followed by advanced algorithms and complexity. The program covers various topics, including the use of data structures to solve problems, graph-based algorithms, algorithms on strings, and advanced algorithmic concepts such as Network flows, linear programming, and NP-complete problems.
Duration: 8 months
Level: Intermediate
Prerequisites: Basic knowledge of a programming language like C, C++, Java, Python, JavaScript, or Kotlin is required.
Algorithms Specialization by Stanford University
Stanford University provides an Algorithms specialization on Coursera. Understanding algorithms and related data structures is essential for any work in the field of computer science. This course introduces learners to algorithms while laying emphasis on conceptual knowledge as opposed to delving straight into mathematical specifics and low-level implementation. The course helps develop participants’ programming and thinking skills, enabling them to excel in software engineering, technical interviews and more complex algorithm topics.
Topics Covered:
- Asymptotic (“Big-oh”) notation
- Sorting and searching algorithms
- Master method for analyzing algorithms
- Quicksort algorithm and its analysis
- Data structures-heaps, balanced search trees, hash tables, bloom filters
- Dijkstra’s shortest-path algorithm
- Breadth-first and depth-first search and its applications
- Greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes)
- Dynamic programming (knapsack, sequence alignment, optimal search trees)
- Shortest paths algorithms (Bellman-Ford, Floyd-Warshall, Johnson)
- NP-complete problems and exact and approximation algorithms for them
- Local search algorithms for NP-complete problems
Duration: 4 Months
Level: Intermediate
Prerequisites: None.
Free Algorithms Course by IIT Bombay (edX)
Learn from expert academic members of IIT Bombay’s Computer Science and Engineering Department in this intermediate-level edX Algorithms course. The course covers sorting and searching algorithms, geometric algorithms, numerical algorithms, and graph algorithms for solving real-world problems. Prior knowledge of data structures and their implementation is required for this 6-week course. Enroll now to enhance your algorithmic thinking and implementation skills.
Data Science Foundations: Data Structures and Algorithms Specialization
In this advanced specialization by Coursera’s top instructor, Sriram Sankaranarayanan, you’ll learn to efficiently organize, store, and analyze data with advanced data structures and algorithms. You’ll also gain expertise in sorting algorithms, graphs, hashing, and NP-completeness. This course is a part of the Master of Science in data science degree from the University of Colorado Boulder and lasts roughly three months. Intermediate-level learners with a background in calculus, probability theory, and some programming experience in Python are encouraged to enroll. Best of all, it’s free!
Advanced Data Structures – MIT OpenCourseWare
This is a graduate-level course offered by MIT OpenCourseWare covering various topics such as time travel, geometry, dynamic optimality, memory hierarchy, hashing, integers, dynamic graphs, strings, and succinct data structures.
Duration information is not available, and the course prerequisites include an undergraduate-level understanding of algorithm design and analysis, along with basic knowledge of data structures.
Programming Foundations: Algorithms
In this course, Joe Marini, an author and developer, covers popular algorithms for data sorting and searching, recursion, and common data structures. The course applies to any programming language and includes performance evaluations of various algorithms. Topics include arrays, linked lists, stacks, queues, hash tables, sorting, searching, and unique filtering. The course is self-paced, costs 1150 rupees, and provides a LinkedIn certification upon completion. Beginners are welcome.
PYTHON DATA STRUCTURES
This course on Python data structures is part of the Python for Everyone Specialization offered by the University of Michigan on Coursera. It covers the fundamental data structures in Python, including strings, lists, dictionaries, and tuples. With a 4.9 rating and almost 500,000 students who have completed the course, it is one of the most popular courses. Additionally, 12% of the learners who completed it obtained a tangible career. The course is designed for beginners, and financial aid is available to complete the course, which takes approximately 19 hours.
Mastering the Coding Interview: Data Structures and Algorithms
This course is perfect for those who aspire to work in top-tier tech companies like Amazon, Google, Facebook, Microsoft, and Netflix but are anxious about the interview process and coding questions. The course not only covers technical subjects such as Big O Notation, algorithms, and data structures, but also non-technical interviews and compensation negotiations. Technical topics such as Recursion, Sorting, Searching, and Graphs are explicitly covered. Additionally, non-technical training is provided on how to answer interview questions, how to behave during and after an interview, how to obtain more interviews, how to negotiate salary, and how to ask for a pay rise.
The course fee is 3499 INR for a total of 261 lectures that are 20 hours each. Prior programming experience is required.
Accelerated CS Fundamentals Specialization by University of Illinois
University of Illinois offers a 3-course Coursera Specialization on fundamental computer science algorithms and data structures created by Professor Wade Fagen-Ulmschneider for students seeking a path into data science. Students write C++ code snippets on a web-based interface and complete coding tasks. Each course comprises two C++ programming projects that teach efficient data structure manipulation, graph search, and photograph manipulation. The course teaches students to:
– Develop C++ programs in an object-oriented fashion
– Analyze time complexity and algorithm space requirements
– Choose implementation approach best suited to solve problems
– Utilize complex library functions, once they understand object data structures
The comprehensive course has a flexible schedule, and applicants should be adept at basic programming in any language. The course is intermediate level and requires no prerequisites. The three-month program will foster your knowledge and skills in fundamental computer science algorithms and data structures.
Choosing Data Structures and Algorithms Courses
Learning data structures and algorithms is crucial for any computer science student or anyone who wants to work in the tech industry. While there are numerous courses available, some strike the right balance between theory and practical implementation. The courses discussed in this article cover essential concepts and real-world applications. With this information, you should be able to select the best course for you and start on the path towards achieving your career goals.
Frequently Asked Questions
Importance of Data Structures and Algorithms
Data structures and algorithms play a crucial role in software development. They demonstrate a developer’s problem-solving abilities, a highly valued skill among recruiters. Programmers who have a solid grasp of these concepts can easily manage data processing, reasoning, and calculations. This underscores the significance of data structures and algorithms in the field of computer science.
Learning Data Structures and Algorithms in Python
Yes, it is absolutely possible to learn data structures and algorithms in Python.
Usage of Data Structures and Algorithms
Data Structures and Algorithms (DSA) play a significant role in various fields of computer science. The primary function of data structures is to store and manage data, whereas algorithms are used to solve complex problems. DSA is applied in almost every domain of computer science, making it an essential area of study for every computer science student.
USEFUL INTERVIEW RESOURCES
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