Programming has consistently been a profoundly popular ability for Software Developers more these days with the advancement in technology. Data Structures and Algorithms form the definitive foundation of programming. They are precious in tackling complex issues. That is decisively the motivation behind why tech monsters like Google, Facebook, Microsoft, Amazon, and most product-based organizations centre around estimating an applicant’s information on algorithms and data structures in their interviews for technical jobs. Having sound expertise in Data Structures and Algorithms incredibly improves one’s critical thinking capacity and is vital to turning into a good programmer.
The ideal approach to learn Data Structures and Algorithms is taking an online course. There are countless assets accessible online nowadays that can genuinely assist with improving your ability to a higher level. Additionally, it enables you to go at your speed and focus on topics you find hard to comprehend. Here is a list of the best online courses on Data Structures and Algorithms. These incorporate both paid and unpaid university-level courses designed by master experts. The lessons integrate diverse programming dialects like Python, Java, JavaScript, etc.
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1. Data Structures and Algorithms Specialization Program by Coursera
The course in algorithms and data structures is offered by the University of California, San Diego, and the National Research Institute Higher School of Economics. The program is a decent blend of theory and practice. Students get familiar with the idea behind algorithms, carry them out in a programming language of their choice, and apply them to tackle practical problems. The program includes six courses, beginning with theory and essential algorithmic methods, and progressively moves to advance algorithms and complexity. It covers the following themes: Data structures in different computational problems, Graph data structure, Algorithms on charts, Algorithms on Strings, and Advanced algorithmic ideas like Network streams, direct programming, and NP-complete issues. Another significant element is that this program is language-sceptic. Each session has pseudocode and requires students to decipher what’s conceptually laid out into code. This extraordinarily improves their ability and learning.
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2. Data Structures and Algorithms Nanodegree Certification by Udacity
Students learn data structures and algorithms in this program and utilize them to tackle a broad scope of real-world problems. It is an involved program, substantial in calculations, and incorporates 100+ practice problems. You need to have the essential experience of using Python Programming Language and basic knowledge of algebra to take this course. In this course, you’ll learn to evaluate and assess various data structures and algorithms and implement a solution based on your design choices. In addition, you’ll learn to examine the efficacy of multiple data structures and algorithms implementation and get hands-on practice to solve over 100+ exercises. It is an excellent course to ace technical coding interviews. The course duration is four months, where you’ll get 10 hours session every week.
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3. Free Algorithms Course by Coursera
This is a two-section course arrangement on algorithms offered for free by Princeton University. The students have welcomed both the courses, making them one of the highest-ranked algorithms seminars on Coursera with a rating of 4.9 out of 5. The classes give a prologue to algorithms and data structures, emphasizing applications and scientific execution analysis of Java implementation. Although the ideas are language autonomous, the arrangements and executions are made in Java. The first section of the course name, Algorithms, Part 1, covers elementary data structures and sorting & searching algorithms. Section 2, namely, Algorithms, Part 2, revolves around the graph and string-processing algorithms and more advanced concepts used in application development. This is a six-week course including 8-10 hours of sessions per week.
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4. JavaScript Algorithms and Data Structures Masterclass by Udemy
This class on algorithms and data structures in JavaScript by Colt Steele is among the most highly rated and reviewed courses on Udemy. Whether hoping to ace a coding meeting or come out better as a developer or improve one’s critical thinking abilities, this course ends up being a great fit as it centers around building a complete computer science foundation to solve any computational problem. The program packs a month of computer science and interview prep material into 22 hours of video exercises. The course begins with the basics and gradually covers progressed themes like Heaps, Graphs, etc. It is an interactive course with more than 85 coding practices where students are relied upon to evaluate each issue all alone before the teacher walks them through solution choices. Aside from video lectures, it incorporates 32 articles and 80 downloadable resources.
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5. MicroMasters Program in Algorithms and Data Structures by edX
This eight-course algorithm and Data Structures program is offered on edX by the University of California, San Diego. It plans to help understudies ace the algorithmic programming strategies and find a new line of work. The focal point of this program is on learning through application, so course makers have put a very long time in planning more than 100 algorithm challenges. Students solve different computational problems by carrying out these algorithmic coding difficulties in a programming language of their choice. The MicroMasters program offers students accreditation for professional success at Rochester Institute of Technology (RIT) upon completing the Capstone Project’s seven courses. Additionally, suppose a student applies for admission to the RIT’s Master of Science in Professional Studies program as a feature of the university’s School of Individualized Study (SOIS). In that case, the edX MicroMasters program declaration will tally towards 25% of the coursework required for the M.S. degree at RIT.
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6. Python for Data Structures, Algorithms, and Interviews by Udemy
This Udemy data structures and algorithms course is taught by Jose Portilla, who has instructed many students about Python programming and Data Science. He has made this course to assist individuals with the coding interview process at the top technology organizations. It is essentially a three-in-one course covering data structures and algorithms in Python and technical coding questions alongside answers for them and non-technical interview preparation like resume reviews and in-person interview prep. The course content is spread over 200+ video lectures that clarify a specific topic, joined by a journal of composing code and explanations in a time of around 16.5 hours. Moreover, the course incorporates mock interviews to equip the students better and accompanies a 30 days money-back guarantee.
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7. Data Structures and Algorithms: Deep Dive Using Java by Udemy
This is one of the most extensive courses on data structures and algorithms utilizing Java. It gives an excellent and direct manual for the implementation of the most up-to-date algorithms from grassroots: arrays, linked lists, graph algorithms, and sorting, etc. You will also learn about binary trees, balanced trees like AVL trees and Red-black trees, piles including heapsort algorithm, associative arrays, and word references. Additionally, you’ll learn the strengths and weaknesses of different data structures and will be equipped to choose the best data structures for your application. If you are a Java developer searching for an excellent data structure and algorithm course, you should join it. It’s comprehensive and yet, both energizing and testing.
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8. Mastering Data Structures and Algorithms using c and c++ by Udemy
With over 56 hours of video exercises, this is the most comprehensive and immersive course on data structures and algorithms in C and C++. It centers around three parts of learning information structures – understanding the theory and concepts, analyzing the data structures and operations, and implementing data structures using c and c++. The course begins with an update on fundamental C and C++ ideas. It covers Data Structures and Algorithms themes: Recursion, array Representations, Array ADT, Matrices, Sparse Matrix, Polynomial Representation, Linked Lists, etc. Abdul Bari’s instructor digs profound into every topic, utilizing Whiteboard to write each line of code and clarify it in a simple to understand manner. He discusses, analyses and implements each data structure with practical line-by-line coding.
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9. Accelerated Computer Science Fundamentals Specialization by Coursera
This Coursera Specialization from the University of Illinois teaches fundamental computer science algorithms and data structures. It is a complete program created by C.S. Professor Wade Fagen-Ulmschneider to give students a performance pathway into P.C.s and Data Science. The program is full of coding challenges that require students to compose C++ code parts in an electronic interface. Each course incorporates two projects where students execute C++ projects to perform errands like altering pictures, proficiently controlling data constructions, or taking care of a graph search issue. The Department of Computer Science at Illinois University is reliably positioned as one of the top Computer Science Programs on the planet. This specialization helps planned candidates of the Online Master of Computer Science (MCS), and MCS in Data Science get ready for the Online MCS Entrance Exam. Students of this specialization acquire the essential capabilities in object-situated programming, Algorithms, and Data Structures to be prepared for cutting-edge study in graduate-level C.S. coursework at the University of Illinois and improve their application for confirmation.
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10. Python Data Structures by Coursera
Learning how to store, address and control data assortments while a program is running is a significant piece of learning how to program. This data structures course in Python is essential for the Python for Everybody Specialization on Coursera offered by the University of Michigan. It gives a prologue to the core data structures of the Python programming language. This is one of the most outstanding evaluated courses with a rating of 4.9, and more than half a million students have effectively taken this course. The course teaches how we can utilize the Python built-in data structures to perform progressively complex data analysis. It is a short course needing around 19 hours of effortto wrap up. It covers lists, dictionaries, and tuples. The course is taken by Dr. Charles Severance, a Clinical Professor at the University of Michigan School of Information, where he teaches different technology-orientedcourses, including Programming, Database Design, and Web development.
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