Harvard opens access to 10 free online courses for learners globally

Harvard University has opened access to a curated list of ten free online courses.

The courses, hosted on edX covers key areas including computer science, artificial intelligence, data science, leadership, and cybersecurity, which are tailored to the demands of today’s digital and data-driven world.

The course are designed to support learners of all backgrounds, such as beginners exploring new interests or professionals seeking to deepen their knowledge in specific fields.

They are flexible and offer a self-paced learning.

List of free courses

This is a flagship beginner course which introduces the fundamentals of computer science and programming. Suitable for beginners and widely recognised for its engaging teaching style.

The duration is 12 weeks

Introduction to Artificial Intelligence with Python

This beginner-level course provides a hands-on introduction to machine learning and AI techniques using Python. No prior AI knowledge is required.

The course duration is 7 weeks.

Web Programming with Python and JavaScript

This is an intermediate-level course focusing on full-stack development, covering HTML, CSS, Python, JavaScript, and SQL. Ideal for learners looking to build web applications.

Understanding Technology

This course is a beginner-friendly course that is tailored for individuals with little or no technical background, this course explains modern technologies and their everyday impact.

The course duration is 6 weeks.

Introduction to Game Development

In this intermediate-level course, learners can explore 2D and 3D game design using popular engines such as Unity and frameworks like LÖVE2D, with projects spanning various game genres.

The course duration is 12 weeks.

Introduction to Cybersecurity

This is a beginner-level introduction course to digital security and risk management, providing insight into protecting data and infrastructure.

The course duration is 5 weeks.

Data Science: Machine Learning

This intermediate-level practical course covers essential machine learning techniques, including linear regression, and builds a recommendation system.

Data Science: Productivity Tools

This beginner-level course is focused on reproducibility and project management, students gain proficiency in GitHub, Unix/Linux, RStudio, and more.

The course duration is 8 weeks.

Leaders of Learning

This beginner-level course explores the relationship between leadership and learning theories, offering insights into how educational environments are shaped.

The course duration is 10 weeks.

Introduction to Data Science with Python

This beginner-level to intermediate-level course is a comprehensive course teaching data wrangling, visualisation, and statistical modelling using Python.

Ngozi Ekugo

Ngozi Ekugo is a Senior Labour Market Analyst and Correspondent, specializing in the research and analysis of workplace dynamics, labour market trends, immigration reports, employment law and legal cases in general.

Her editorial work provides valuable insights for business owners, HR professionals, and the global workforce. She has garnered experience in the private sector in Lagos and has also had a brief stint at Goldman Sachs in the United Kingdom.

An alumna of Queens College, Lagos, Ngozi studied English at the University of Lagos, holds a Master’s degree in Management from the University of Hertfordshire and is an Associate Member of CIPM and Member of CMI, UK.