100+ Free Ivy League Online Courses
This article outlines 100+ Ivy League online courses offered by Ivy League universities. A brief description and the link to each course are provided in the article. Readers are encouraged to use the find feature to either look for a specific university or a topic of interest.
Ivy League universities are the world’s most prestigious universities. With the shift of learning from offline to digital, these universities have partnered with education platforms such as Coursera and EdX to provide free quality education to students from the comfort of their homes. Students can also opt to get certified for the course by paying the examination fee on these platforms.
List of Courses
Bitcoin and Cryptocurrency Technologies by Princeton University
By taking this course, you will understand the inner workings of bitcoin and cryptocurrency. In addition, the system will provide the fundamental concepts needed to create secure software interacting with the Bitcoin network.
Machine Learning for Data Science and Analytics by Columbia University
Through this course, you will learn basic machine learning principles and apply predictive analytics to derive practical solutions.
CS50’s Understanding Technology by Harvard University
This course is designed for those who work with technology daily but may need help understanding how it works. By taking this course, you will be able to use better and troubleshoot technology, as it aims to fill in any knowledge gaps and empower you with a stronger foundation.
Robotics: Perception by the University of Pennsylvania
This course is a primer to gaining a deeper understanding of how robots can navigate and infer their surroundings as humans. This course is vital for students who are trying to understand the locomotion of robots and working with the underlying technologies.
Enabling Technologies for Data Science and Analytics: The Internet of Things by Columbia University
This course in data science will provide an overview of the significant components of the Internet of Things and teach you how data is obtained from sensors.
Linux Basics: The Command Line Interface by Dartmouth
This course is an essential addition to the C Programming specialization offered by Dartmouth University. The understanding of how the Linux operating system functions and how developers can leverage that for a better development experience is stated in this course.
C Programming: Pointers and Memory Management by Dartmouth
Learning pointers is foundational when a student wishes to learn C programming in depth. This course will enable the learners to understand pointers and how they help with managing memory efficiently.
Algorithm Design and Analysis by the University of Pennsylvania
This course goes in-depth on the algorithms that work with shared data structures. By completing this course, you will become proficient in using complex algorithms with ease.
A.I. Applications in People Management by the University of Pennsylvania
This course applies Artificial Intelligence and Machine Learning in Human Resources management. You will gain an understanding of the role that data plays in these technologies, as well as the potential benefits and limitations of using data to inform H.R. decisions.
Cryptocurrency and Blockchain: An Introduction to Digital Currencies by the University of Pennsylvania
This course helps people understand how blockchain powers cryptocurrency and the innovation it has brought to digital money and transactions.
Data Structures and Software Design by the University of Pennsylvania
This course covers a range of core data structures, including arrays, lists, stacks, queues, sets, maps, trees, and graphs, and teaches how to determine which data structure is the most suitable for a given problem. In addition, you will learn how to evaluate and utilize these data structures effectively.
This course is designed for professionals in care coordination, care/case management, social work, community health, patient navigation, peer coaching, behavioral health support, and similar roles and takes a social or peer perspective.
3D Reconstruction – Multiple Viewpoints by Columbia University
This course explores techniques for reconstructing the 3D structure of a scene from images taken from multiple viewpoints and addresses the challenge of modeling dynamic scenes.
Features and Boundaries by Columbia University
This course detects simple but essential features such as edges and corners and analyses the detection of interest points.
Data Science: R Basics by Harvard University
This course discusses in depth various R’s functions and data types, how to operate on vectors and when to use advanced functions like sorting.
Using Python for Research by Harvard University
This course enables the learners to learn Python and apply them to real-world use cases.
People Analytics by the University of Pennsylvania
This course enables learners to understand how the data they provide during a skill assessment is analyzed to judge people’s skills and talents.
Data Science: Productivity Tools by Harvard University
This course will enlighten you on using Unix/Linux to manage files and directories on your computer. In addition, you will be introduced to the version control systems git, a powerful tool for keeping track of changes in your scripts and reports.
Software Development Fundamentals by the University of Pennsylvania
This course will quickly cover Java syntax and keywords and then explore features of object-oriented programming, including encapsulation, inheritance, and polymorphism. In addition, software testing techniques and debugging methods are also discussed in detail.
Inheritance and Data Structures in Java by the University of Pennsylvania
This course is for Java programmers who wish to dig deeper into inheritance concepts.
CS50’s Introduction to Game Development by Harvard University
With of help of very informative content, the course explores principles of 2D and 3D graphics, animation, sound, and collision.
Deploying TinyML by Harvard University
The course provides projects based on TinyML. The Program Kit includes an Arduino board with onboard sensors and an ARM Cortex-M4 microcontroller. The kit has everything you need to build applications around image recognition, audio processing, and gesture detection.
Robotics: Computational Motion Planning by the University of Pennsylvania
Dig deep into how a robot decides what to do to achieve its goals. This course will discuss in detail the various challenges you face while planning to construct a robot.
Introduction to Engineering and Design by Brown University
Explore the engineering design process, from real-time conceptual designing and optimal choice evaluation to prototyping.
CS50’s Introduction to Computer Science by Harvard University
This course is a primer for all students who want to get into computer science and want a basic introduction to programming, basic computer fundamentals, and algorithms.
Algorithms Part I by Princeton University
Part 1 of this two-part series by Princeton university introduces the basic data structures that every programmer should understand. The course also covers basic searching and sorting techniques. This course is suitable for students interested in Java programming.
Algorithms Part II by Princeton University
Part 2 of this two-part series by Princeton university offers insight into more advanced data structures such as strings and graphs. This course is suitable for students interested in Java programming.
Reinforcement Learning by Brown University and Georgia Institute of Technology
This is an advanced course for machine learning developers who wish to combine code and research into one course and build real-life solutions.
Software Defined Networking Georgia Institute of Technology via Coursera
This course is for students who are interested in networking and wish to understand the internal functioning of software-defined networks. This course also covers tools like Microsoft VL2.
Analysis of Algorithms by Princeton University
This course covers the mathematical aspect of algorithms, including the prerequisites for understanding algorithms and a deep understanding of the asymptotic nature of algorithms.
Computer Architecture by Princeton University
This course offers insight into the architecture of microprocessors, a mandatory subject for several computer science students.
Machine Learning by Georgia Institute of Technology and Brown University
This course offers a comprehensive insight into supervised, unsupervised, and reinforcement learning.
CS50: Computer Science for Business Professionals by Harvard University
This course is suitable for business professionals who need a technical background to make decisions about a technology or a technological product.
Machine Learning: Unsupervised Learning by Brown University and Georgia Institute of Technology
This course is a complete introduction and “how-to” for unsupervised learning, taught by eminent professors from both Brown University and Georgia Institute of Technology.
CS50’s Introduction to Artificial Intelligence with Python by Harvard University
In this CS50 course, students will be able to understand machine learning algorithms and the basics of A.I., which will equip them with the necessary tools to build their autonomous systems.
C Programming: Using Linux Tools and Libraries by Dartmouth College and Institut Mines-Télécom
This course enables the students to use C language in a professional Linux environment.
C Programming: Language Foundations by Dartmouth College and Institut Mines-Télécom
This teaches conditional and looping constructs in C language, along with an introduction to searching and sorting while using strings and arrays.
Applications of TinyML by Harvard University
This course is advantageous for students who wish to understand how real-world projects function with the power of TinyML.
Advanced Algorithms by Harvard University
This is a YouTube course designed for students who already know basic algorithms and wish to know more.
Robotics: Vision Intelligence and Machine Learning by the University of Pennsylvania
This course is for students who want to develop and design a vision for robots by keeping the human environment in mind.
Computational Thinking for Problem-Solving by the University of Pennsylvania
This course, with overall 4.7 star ratings, is to encourage students to think in a manner that they can build robust and accurate computational systems.
Visual Perception by Columbia University
This is for computer vision students who wish to understand the widespread challenges with CV, perception in particular, and work with algorithms to tackle the same.
3D Reconstruction – Single Viewpoint by Columbia University
This exciting course is offered for students who wish to dive deep into reconstructing 3D scenes from 2D images.
Camera and Imaging by Columbia University
This course travels through the advancement of the camera and imaging, which has been utilized to enhance computer vision systems.
Computer Science: Algorithms, Theory, and Machines by Princeton University
This course utilizes Java language to teach programming and logical designing paradigms of computers, along with teaching numerous algorithms.
Statistics and R by Harvard University
This course is for folks who want to understand how statistical analysis is performed on real-world statistical data using the R language.
Statistical Thinking for Data Science and Analytics by Columbia University
This course is for data scientists and students who wish to work with data where having statistical knowledge is imperative.
Data Science: Machine Learning by Harvard University
This course is a learn-by-doing course where students will build a movie recommendation system and learn the algorithm, statistics, and visualizations associated with it.
Data Science: Linear Regression from Harvard University
This course takes a deep dive into linear regression and helps the students understand the why, what, and how of linear regression with practical code implementation by building baseball teams.
Data Science: Visualization from Harvard University
This course utilizes R language and tells the students about data visualization and exploratory data analysis with the help of case studies and datasets.
Data Science: Wrangling from Harvard University
This course utilizes R language to help the students understand how data should be prepared for analysis.
Data Science: Probability from Harvard University
To help the students build a foundation in statistical analysis, this course enables them to understand probability theory in depth and its implications in the real world.
Data Science: Productivity Tools from Harvard University
This course uses git and UNIX/Linux file systems to organize the code better and work collaboratively.
Big Data and Education from the University of Pennsylvania
This course covers a broad overview of data mining theoretically and utilizing Python language.
Principles, Statistical and Computational Tools for Reproducible Data Science from Harvard University
This course is targeted at folks who are interested in research and wish to understand the techniques and the best practices following the same specifically for data science.
Data Science: Capstone from Harvard University
This course is the final milestone for the complete data science specialization offered by Harvard University, where students are given real-world problems to solve and test their skills.
The Computing Technology Inside Your Smartphone from Cornell University
This course is a deep dive into the hardware and the underlying mechanism that powers our smartphones and makes them work as smoothly as they do.
CS50’s Mobile App Development with React Native from Harvard University
Introduction to Python Programming from the University of Pennsylvania
This course is a primer for understanding how the python language works with understanding fundamentals, data structures, and file handling with coding assignments.
Introduction to Java and Object-Oriented Programming from the University of Pennsylvania
This course is for students who wish to understand how to leverage Java language with its object-oriented programming capabilities and write code that focuses on logic and testing purposes.
Database Systems – Cornell University Course (SQL, NoSQL, Large-Scale Data Analysis) by Cornell University
This is a 17-hour course aimed at providing the students with the necessary knowledge about database management systems and relational and non-relational databases, including the internal working of the same.
C Programming: Advanced Data Types from the University of Dartmouth
This course helps the reader understand how they can input the data and store it utilizing the datatypes offered by C to its total value.
MLOps for Scaling TinyML from Harvard University
For folks working with TinyML, this course offers a chance for them to enhance their model’s capabilities by providing scalability options with machine learning operations.
HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Administrative/I.T. Perspective) from Columbia University
This course specifically focuses on healthcare and its application in data analytics.
First Principles of Computer Vision from Columbia University
This is an introductory course for students in the field of computer vision and helps in understanding basic image processing tasks and fundamental problems that one needs to look at with image datasets.
A.I. Fundamentals for Non-Data Scientists from the University of Pennsylvania
This course divulges the users into the world of big data by using tools such as Tensorflow and Teachable and provides real-life case studies for non-data scientists to under the vitality of handling big data.
A.I. Applications in Marketing and Finance from the University of Pennsylvania
This course is an overview of the spread of artificial intelligence in business and its utilization in providing customers with better experiences and enterprises better insights into customer behavior.
A.I. Strategy and Governance from the University of Pennsylvania
This course is vital for programmers and engineers who work with artificial intelligence to ensure that the products they are building fall into the good ethical domain and provide the user with the necessary privacy while their data is being handled.
Introduction to Programming with Python and Java from the University of Pennsylvania
This is a beginner-level course where Python is taught from scratch, and object-oriented programming concepts are taught in depth with Java.
A.I. For Business from the University of Pennsylvania
This course is for business professionals who wish to know about artificial intelligence and their involvement in solving business problems and providing better resolutions and profit-making strategies.
Computer Science Essentials for Software Development from the University of Pennsylvania
This course is a primer for software developers where all basics for a computer science degree are taught. This course is for complete beginners and students who wish to change classes.
CS50’s Computer Science for Lawyers from Harvard University
This course is for legal professionals who wish to understand the vitality of technology in the legal field. This course involves basic computer science skills and touches on cybersecurity and privacy.
CS50’s Introduction to Programming with Scratch from Harvard University
This course is another introductory course taught with the help of Scratch – a visual programming language that is easy and fun to understand. This course is suitable for students of all ages.
CS50’s Introduction to Programming with Python from Harvard University
This course is an introductory course for Python language and covers all basics of the language.
The Computing Technology Inside Your Smartphone by Cornell University
This course covers the underlying software and hardware inside your smartphone. It helps you understand the nitty gritty of a smartphone enabling you to dive deep into the world of smartphone technology.
Animation and CGI Motion by Columbia University
This course covers essential animation topics such as keyframes, motion graphics, and character design involved in structuring animation for different content fields.
Robotics by Columbia University
This is an introductory course in robotics for students who want to understand topics such as motion, kinetics, and robotics planning. Students with prior experience with mechatronics will be able to grasp this course in a better manner.
Robotics: Locomotion Engineering by the University of Pennsylvania
This course covers the foundational robotics concepts around legged and wheeled robots and enables students to build robots that can walk, run and even roll. To take this course, students need prior experience in robotics.
Robotics: Dynamics and Control by University of Pennsylvania
This course is suitable for students or mechanical engineers with experience in robotics or control systems. The concepts taught in this course include – robot kinematics, motion planning, and dynamics.
Robotics: Vision, Intelligence and Machine Learning by University of Pennsylvania
This course utilizes advanced machine learning, computer vision, and natural language processing techniques and discusses their application in robotics. Experience with ML technologies and robotics would be fruitful for taking this course.
Data Science: Inference and Modelling by Harvard University
This course is for students who have a statistical background and are looking to either refresh their statistical skills or for the ones who are looking to apply these techniques in modeling data for data science purposes.
Big Data and Education by the University of Pennsylvania
This course teaches the students fundamentals of data mining and visualization on large datasets belonging to the education industry.
Robotics: Kinematics and Mathematical Foundations by the University of Pennsylvania
This course intertwines the principles of kinematics and mathematical models and focuses on their application in robotics to perform motion analysis of robots.
Technology Entrepreneurship: Lab to Market by Harvard University
This course is suitable for technological students interested in building a profitable business. This course teaches the students how to make their businesses from the ground up and utilize various opportunities available in the market, leveraging the tools and technologies available around them.
High Dimension Data Analysis by Harvard University
This course is for students and data analysts who wish to understand how to handle data with many dimensions, enabling them to work with complex datasets.
Privacy Law and Data Protection by the University of Pennsylvania
This course is suitable for students and professionals working with personal data in their technological applications to understand what rules and regulations entail and focus on the privacy and protection of the said data.
Fintech: Foundations, Payments, and Regulations by University of Pennsylvania
For folks who wish to integrate finance and technology (not necessarily having both backgrounds), this course serves as a primer in understanding the basics of FinTech technology, the payment methods utilized, and the regulations governing this industry.
A.I. Applications in InsurTech and Real Estate Technology by the University of Pennsylvania
This course is suitable for folks who wish to understand the real-life implications of artificial intelligence in the decision-making process of InsurTech and Real Estate industries.
C Programming: Getting Started by the University of Dartmouth
This course is a beginner-level course for students interested in learning the foundations of C language, which involves understanding variables, input and output, loops, conditionals, and more.
C Programming: Modular Programming and Memory Management
This course is advanced for students well versed in C programming language. It enables the students to work with complex tasks such as managing memory and processing high volumes of data.
Computer Science: Programming with a Purpose by Princeton University
This course is an introductory course for computer fundamentals and is taught using Java. The basics of Java language, including input, output, loops, variables, and conditionals, are all discussed in this course.
In conclusion, these programming courses offered by Ivy League universities are a fantastic opportunity for students worldwide to enhance their skills and capabilities and start or get better at programming. This is a chance for all students to level up and stand out from the rest.
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