Free Online Computer Science Courses by Harvard University

1. CS50's Introduction to Programming with Scratch

This cs50 free course includes a basic introduction to programming that will prepare you for subsequent courses in coding. Using Scratch you will learn a gentle introduction to visual programming language, enabling you to write code by dragging and dropping graphical blocks rather than typing the texts. This course was designed at MIT's Media Lab to empower students to design their own animations, interactive art, games and more. The course may take the duration of 3 weeks covering many valuable topics such as computer science, data structures, algorithms, programming, database and web development. It may be the best Harvard University free online courses with certificates for international students.

2. Quantitative Methods for Biology

Using the applications to medicine and biology, in this course you will learn an introductory programming and data analysis in MATLAB. For beginner students, this Harvard University online course will help you to learn Quantitative Methods for Biology. While experts can learn the MATLAB without getting slowed down with primary concepts. If you are already familiar with Javascript, r and Python, this course will help you to translate your knowledge to MATLAB. The course requires the duration of 3 to 5 hours in a week, providing you advanced knowledge of computer science, data analysis, medicine, programming and biology.

3. Fundamentals of TinyML

The course introduces the “language” of TinyML focusing on the basics of machine learning and embedded systems including smartphones. 

It is the first course in the series of TinyML Certificate that will cover the basics of deep learning, machine learning and embedded devices. Students will learn advanced data science techniques for developing and gathering data to learn basic machine learning models. It will help the students to learn the “language” behind TinyML and dive into the applications of it.

4. Applications of TinyML

In this course you will get a chance to see TinyML practically through examples of TinyML applications. You will learn first-hand experience in training these models for tiny applications like visual wake words,  gesture recognition and keyword spotting. Here you will dive into the coding for using sensor data to perform different tasks including voice recognition and gesture detection. Students will get the code behind “Alexa,” “OK Google,” and mobile devices like Apple and Android. You will learn real-word applications of TinyML and also Visual Wake Words, Dataset Engineering, Keyword Spotting, Anomaly Detection and Responsible Artificial Intelligence. In this course you will learn computer science online free with a time commitment of 2 to 4 hours every day.

5. Deploying TinyML

In this course, you will learn to program in TensorFlow Lite for microcontrollers enabling you to write the code and deploy a model for owning a tiny microcontroller. You will gain a deep understanding of the hardware of a microcontroller-based device, know how to program your own TinyML device and learn to train a microcontroller-based device and responsible AI Deployment. The program will take a duration of 5 weeks with a time commitment of 2 to 4 hours every day. It will provide you with vast knowledge of computer science, deep learning, machine learning, neural networks, embedded systems and data science. The course provides a great opportunity to earn a computer science degree online free.

6. CS50's Understanding Technology

This can be the best online free course for students who want to learn how the technology we use in our daily life works. You will gain vast knowledge of internet, multimedia, security, web development and programming. The course takes the time duration of 6 weeks with a time commitment of 2 to 6 hours every week. The course is designed to empower students for use and troubleshoot technology effectively.

7. CS50's Computer Science for Business Professionals

This course is an introduction to computer science for business professionals. Here students will gain extensive knowledge of computational thinking, web development, programming languages, technology stacks, internet technologies and cloud computing. It is a 6 week long course with a time commitment of 2 to 6 hours in a week.

8. Using Python for Research

This program will give you an introductory knowledge of the Python programming language and learn how to utilise Python 3 for the research work. The course combines a detailed guide introduction and in-depth exploration of new practices to gain Python skills with several case studies. It includes revised assessments and new modules of machine learning. The course requires a time commitment of 4 to 8 hours per week providing you detailed knowledge of computer science and programming.

9. Data Science: Machine Learning

In this course you will learn to build a movie recommendation system and the science behind modern data science techniques. You will learn the basics of machine learning, building a recommended system, performing cross validation and gaining knowledge of regularisation and various popular machine learning algorithms. The course requires a time duration of 2 to 4 hours every week. In this Harvard University computer science free course you will gain all essential skills to perform efficient machine learning.

10. Introduction to Data Science with Python

This course at Harvard University will help you to gain  hands-on experience and practical knowledge of Python for solving several real data science problems. You will get a chance to practise Python coding in modelling, storytelling and statistical analysis. You will learn to use popular libraries like numPy, matplotlib, Pandas and SKLearn. Using Python you will learn to run basic machine learning models. This course will provide you all necessary knowledge and skills to use Python programming language in artificial intelligence and machine learning. This Harvard University course requires a time commitment of 3 to 4 hours per week.