Alison has over 1,000 high quality courses available across 9 distinct categories, all absolutely free to complete. All our courses are self-paced and have been designed by subject matter experts, to give you an interactive and enriched learning experience.
Depending on your learning goal, you can choose from:
Certificate courses (average time: 2-3 hours), which help you focus your learning to provide you with specific expertise in your field or industry.
Diploma courses (average time: 8-10 hours), which are designed to give you a more extensive understanding of a subject area, by helping you master multiple concepts within a subject.
Learning Paths (average time: 18-20 hours), which are a combination of niche courses that have been specially designed by experts, to help you: Broaden your skill set; Progress your knowledge; or Master a subject.
Use the search bar on the left if you are looking for a specific category, or browse through all courses below, and let’s get learning!
Alison's free online Data Science courses will teach you the fundamentals of data interpretation, analysis, and manipulation. We recommend our short 3-hour certificate courses such as Introduction to Data Science and Introduction to Machine Learning for beginners in the subject. We also highly recommend Mining and Analysis of Big Data and R for Data Analysis courses for those in the business, commercial, and government sectors. Get started with your next course, today.
Alison's free online Data Science courses will teach you the scientific methods, algorithms, processes, and systems to extract important information from structured and unstructured data. If you are looking for introductory courses on the subject, our Introduction to Data Science and Introduction to Machine Learning courses will be a great foundation for you. Once you've finished the beginner courses, we suggest you take more advanced short courses such as Working with Data, where you will learn to use Python and R programming languages in Azure ML, as well as Visualizing Data and Exploring Models.
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