Learn Data Science from Top Universities for Free

By Rebecca Vickery, Data Scientist


Photo by Vasily Koloda on Unsplash


I’m currently reading a book called ‘Ultralearning. Accelerate Your Career, Master Hard Skills and Outsmart the Competition’. This book talks about a learning technique that allows you to learn new skills and even completely new subjects in seemingly impossible time frames. According to the book, Ultralearning is “a strategy for acquiring skills and knowledge that is both self-directed and intense”.

The author of the book, Scott H Young, famously completed a personal challenge using ultralearning. The challenge that he set himself was to learn the entire 4-year MIT (Massachusetts Institute of Technology) curriculum for computer science in just 12 months. He successfully completed the challenge in 2012 and recorded a Ted Talk about his experiences called ‘Can you get an MIT education for $2,000?’.

Can you get an MIT education for $2,000 by Scott H Young


Scott H Young was only able to complete his challenge for $2,000 because MIT makes most of their course material and lectures available for free via an online portal.

MIT is not the only university that does this. Many of the high ranking US universities make courses, lectures and other learning material available for free. Amongst this, is a wealth of material that is highly and often directly applicable to learning data science, machine learning and artificial intelligence.

Many of the high ranking US universities make courses, lectures and other learning material available for free.

I previously wrote an article called How to Learn Data Science for Free” which provides an alternative, and free, learning path compared to more traditional university degree programs. However, if you are someone who learns better through a more traditional lecture-based course or would like to supplement this curriculum with deeper dive into related subjects the following free resources can help.


MIT, OpenCourseWare

MIT is one of the leading institutes for both teaching and research in the field of modern computing. In 2001, the university launched its OpenCourseWare platform. The aim of which is to make lecture notes, problem sets, exams and video lectures, for the vast majority of its courses, available for free online.

There is a wealth of material here for data science-related subjects. Some of my personal favourites include:


Data, Models and Decisions — Course Outline, MIT OpenCourseWare


Columbia, Applied Machine Learning

Andreas C. Muller, one of the core developers for the popular Python machine learning library Scikit-learn, is also a Research Scientist and lecturer at Columbia University.

Each year he publishes all material for his ‘Applied Machine Learning’ Course online. All the slides, lecture notes and homework assignments for the course are available in this Github repo.

The material in the repo is actually some of the best I’ve seen covering the area of actually applying machine learning in the real world. In addition to covering all aspects of the machine learning process from data exploration and cleaning to model evaluation and tuning, it also covers Github, unit testing and continuous integration. All extremely important aspects when you are applying machine learning in a real-world situation.


A snapshot of the schedule for the ‘Applied Machine Learning Course’ at Columbia


Stanford, Seminars

The Stanford School of Engineering regularly makes a selected number of its seminars available for free online. There are a select number of data science-related seminars available including ‘Human-Computer Interaction’, and ‘Robotics and Autonomous Systems’.You can find them via this link.

In addition, Stanford uploads many of its seminars and lectures to it’s Youtube channel — you can find that here. There are a wealth of videos covering data science, machine learning and deep learning on the channel.


Free Seminars, Stanford University


Free Online Courses, Harvard

Harvard University publishes a selection of completely free online courses on its website. The courses are mostly hosted by edX so you also have the option of pursuing certification for each course for a small payment.

There are some really excellent courses here for learning data science. These include the following top picks, although there are many others:


Free Online Courses, Harvard University


Berkeley, MOOCs

The University of California, Berkeley also publish a range of courses on edX.org. There are some excellent data science-related courses including:

There is such a wealth of free material available online for learning data science. This article covers some of the more traditional lecture-based approaches from high ranking universities. For more alternative resources I previously published my top 5 here.

Thanks for reading!

I send out a monthly newsletter if you would like to join please sign up via this link. Looking forward to being part of your learning journey!

Bio: Rebecca Vickery is learning data science through self study. Data Scientist @ Holiday Extras. Co-Founder of alGo.

Original. Reposted with permission.


Source link

Leave a Reply

Your email address will not be published. Required fields are marked *