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UCSanDiegoX: NP-Complete Problems
Learn about NP-complete problems, known as hard problems that can’t be solved efficiently, and practice solving them using algorithmic techniques.
IITBombayX: Programming Basics
Learn basic computer programming skills and master the art of writing C/C++ programs to solve real world problems.
IITBombayX: Foundations of Data Structures
Learn the best way to structure and represent data.
UCSanDiegoX: Dynamic Programming: Applications In Machine Learning and Genomics
Learn how dynamic programming and Hidden Markov Models can be used to compare genetic strings and uncover evolution.
UCSanDiegoX: Graph Algorithms in Genome Sequencing
Learn how graphs are used to assemble millions of pieces of DNA into a contiguous genome and use these genomes to construct a Tree of Life.
UCSanDiegoX: String Processing and Pattern Matching Algorithms
Learn about pattern matching and string processing algorithms and how they apply to interesting applications.
UCSanDiegoX: Algorithms and Data Structures Capstone
Synthesize your knowledge of algorithms and biology to build your own software for solving a biological challenge.
UCSanDiegoX: Graph Algorithms
Learn how to use algorithms to explore graphs, compute shortest distance, min spanning tree, and connected components.
UBCx: How to Code: Complex Data
Learn how to design more complex programs, using new data structures, abstraction, and generative recursion.
UCSanDiegoX: Data Structures: An Active Learning Approach
Learn about high-performance data structures and supporting algorithms, as well as the fundamentals of theoretical time complexity analysis through an interactive online text.
SDA_Bocconi: Fundamentals of Python
We will equip you with everything you need to properly start using Python in your daily work activities. You will learn how to install Python and work with it through different graphical front-ends. You will then learn how to define objects and how to recognize different characteristics and functionalities. Finally, you will learn how to make Python execute a series of instructions in a sequential order through loops, as well as how to write your own functions.
UCSanDiegoX: Algorithmic Design and Techniques
Learn how to design algorithms, solve computational problems and implement solutions efficiently.
GTx: Introduction to Object-Oriented Programming with Java III: Exceptions, Data Structures, Recursion, and GUIs
Learn how to create and use exceptions, data structures, recursion, and graphical user-interfaces (GUIs).
GTx: Data Structures & Algorithms III: AVL and 2-4 Trees, Divide and Conquer Algorithms
Learn more complex tree data structures, AVL and (2-4) trees. Investigate the balancing techniques found in both tree types. Implement these techniques in AVL operations. Explore sorting algorithms with simple iterative sorts, followed by Divide and Conquer algorithms. Use the course visualizations to understand the performance.
MichiganX: Python Data Structures
The second course in Python for Everybody explores variables that contain collections of data like string, lists, dictionaries, and tuples. Learning how to store and represent and manipulate data collections while a program is running is an important part of learning how to program.
GTx: Data Structures & Algorithms IV: Pattern Matching, Dijkstra’s, MST, and Dynamic Programming Algorithms
Delve into Pattern Matching algorithms from KMP to Rabin-Karp. Tackle essential algorithms that traverse the graph data structure like Dijkstra’s Shortest Path. Study algorithms that construct a Minimum Spanning Tree (MST) from a graph. Explore Dynamic Programming algorithms. Use the course visualization tool to understand the algorithms and their performance.
UCSanDiegoX: Data Structures Fundamentals
Learn about data structures that are used in computational thinking – both basic and advanced.
GTx: Computing in Python IV: Objects & Algorithms
Learn about recursion, search and sort algorithms, and object-oriented programming in Python.
GTx: Data Structures & Algorithms II: Binary Trees, Heaps, SkipLists and HashMaps
Become familiar with nonlinear and hierarchical data structures. Study various tree structures: Binary Trees, BSTs and Heaps. Understand tree operations and algorithms. Learn and implement HashMaps that utilize key-value pairs to store data. Explore probabilistic data structures like SkipLists. Course tools help visualize the structures and performance.
GTx: Data Structures & Algorithms I: ArrayLists, LinkedLists, Stacks and Queues
Work with the principles of data storage in Arrays, ArrayLists & LinkedList nodes. Understand their operations and performance with visualizations. Implement low-level linear, linked data structures with recursive methods, and explore their edge cases. Extend these structures to the Abstract Data Types, Stacks, Queues and Deques.
StanfordOnline: Algorithms: Design and Analysis, Part 1
Welcome to the self paced course, Algorithms: Design and Analysis! Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth. This specialization is an introduction to algorithms for learners with at least a little programming experience.
GTx: Computing in Python III: Data Structures
Learn more complex ways of handling data, including files, lists, and dictionaries for building complex programs.
TUMx: Web App Development with the Power of Node.js
Learn to use the powerful Node.js framework to bring your web application to life and develop end-to-end applications in JavaScript.
IBM: Guided Project: Get Started with Data Science in Agriculture V2
Ideal for beginners with some knowledge of Python and statistics, in this one-hour hands-on guided project, you will learn how to use essential Python tools for statistical analysis of agricultural data and present that data on interactive maps
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EdX’s Impact on Global Education
EdX has transformed the educational landscape by making learning more inclusive and accessible. The platform reaches millions of students across the world, including learners in developing nations where access to quality education is limited. By providing affordable or even free courses, EdX empowers individuals to improve their lives, enhance their careers, and contribute to their communities. EdX’s Open edX platform is another way the organization is making a difference. Open edX is an open-source software that other institutions can use to create and distribute their own educational content. This further amplifies EdX’s mission to increase access to education globally.Certifications and Degrees from EdX
One of EdX’s standout features is the opportunity to earn certifications and degrees from top universities and companies. These credentials are recognized worldwide and can give learners a significant advantage in the job market. EdX offers a range of credential programs, including:- Verified Certificates: For learners who want proof of course completion, verified certificates provide credibility to employers and institutions.
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Who Should Use EdX?
EdX is suitable for a wide range of learners, from high school students to working professionals. If you’re looking to:- Advance your career: EdX offers professional certificates and degree programs that can help you gain the skills and credentials needed to move up in your career.
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Why Choose EdX Over Other Platforms?
While there are several online learning platforms available today, EdX stands out for its unique focus on high-quality, academically rigorous courses. Here’s why EdX is a top choice:- Prestige: Courses are taught by professors from the world’s top universities, giving learners access to the same education as on-campus students.
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