Coursera was founded in 2012 by two Stanford Computer Science professors who wanted to share their knowledge and skills with the world. Professors Daphne Koller and Andrew Ng put their courses online for anyone to take – and taught more learners in a few months than they could have in an entire lifetime in the classroom.
Since then, we’ve built a platform where anyone, anywhere can learn and earn credentials from the world’s top universities and education providers.
Every course on Coursera is taught by top instructors from the world’s best universities and educational institutions. Courses include recorded video lectures, auto-graded and peer-reviewed assignments, and community discussion forums. When you complete a course, you’ll receive a sharable electronic Course Certificate.
If you want to master a specific career skill, consider joining a Specialization. You’ll complete a series of rigorous courses, tackle hands-on projects based on real business challenges, and earn a Specialization Certificate to share with your professional network and potential employers.
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Discover the power of algorithms with 'Algorithmic Toolbox', a comprehensive Coursera course that teaches you how to tackle everyday computational challenges. Learn sorting and searching, divide-and-conquer strategies, greedy algorithms, dynamic programming, and more through engaging video lectures and hands-on practice.
Coursera
Discover the essential principles of Data Structures with our expert-led online course. Gain a deep understanding of how to effectively manage and manipulate data using various structures like lists, stacks, queues, trees, and hash tables. Learn through engaging video lectures, quizzes, and hands-on programming assignments designed to enhance your skills in implementing these critical concepts in different programming languages.
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Discover the power of graphs and algorithms with 'Algorithms on Graphs'. Learn how to navigate through road networks, optimize computer networks, and analyze social networks efficiently. Perfect for those interested in data science, network theory, and algorithmic problem-solving.
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Step up your algorithmic skills with our Advanced Algorithms and Complexity course. Dive into intricate problem-solving techniques, including network flows, optimal matchings, and disjoint paths. Perfect for those ready to advance beyond the basics and explore sophisticated applications in various fields like computer vision and scheduling.
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Unlock the potential of your workforce with People Analytics - a groundbreaking course that teaches you to leverage data for smarter people management decisions. Explore recruitment strategies, performance evaluation techniques, leadership development, and more with Wharton's top professors.
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Discover the art and science of understanding customer behavior through data with Customer Analytics. This course, led by Wharton’s leading marketing experts, explores the use of analytics in describing past behaviors, predicting future trends, and prescribing new strategies based on real-world examples from industry giants like Amazon, Google, and Starbucks.
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Dive into the world of strategic business analytics with this expert-led course designed for students, analysts, and data scientists. Gain a deeper understanding of how to apply statistical methods effectively in real-world business scenarios using R or other programming languages. Ideal for those with a background in statistics looking to transition into a business analysis role.
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Dive into the fascinating world where biology meets programming with 'Biology Meets Programming: Bioinformatics for Beginners.' This course is designed to introduce you to the basics of bioinformatics, teaching you how to apply programming (specifically Python) to solve complex biological problems. Whether you're a student, researcher, or simply curious about the intersection of science and coding, this course will equip you with essential skills in algorithm implementation and problem-solving within a biological context.
Coursera
Dive into Inferential Statistics, a comprehensive Coursera course that teaches you how to draw accurate conclusions about populations using statistical analyses of samples. Learn the principles of significance testing and apply various statistical tests to diverse datasets.