Educative publishes new courses from Oxford University Press

Today, we are excited to announce that Educative has published its first courses adapted from titles published by Oxford University Press: a global leader in education and the publishing arm of one of the world’s oldest and most prestigious universities.

As part of this licensing agreement, Educative has debuted seven new courses based on books written by expert authors and published by Oxford University Press. We are thrilled to bring these incredible resources to life on Educative’s interactive learning platform for developers around the world.

New Courses with content from Oxford University Press#

These new courses enrich Educative’s library of interactive learning content, which is anchored by contributions from our world-class community of authors and contributors.

With the addition of Oxford University Press content, we are excited to welcome an industry leader in academic and technical publishing to our growing platform.

New Educative courses with content from Oxford University Press#

What follows is a brief description of each of the new courses based on Oxford University Press content, broken out by topic.

Data Science & Statistical Analysis in R#

These courses were created to deepen learners’ understanding of statistical modeling and modern computing techniques with the R programming language.

1. Developing and Analyzing Statistical Models with R#

Based on Justin Touchon’s applied statistics text, this course is a comprehensive introduction to R through hands-on analysis of real-world data. Not only will learners deepen their familiarity with R as a programming language, they will also be prepared to develop rich experimental models and analyze results with academic rigor.

2. Performing Modern Statistical Analysis with R#

Based on Andy Hector’s The New Statistics with R, this course is a deep dive into modern statistical analysis. Learners will get hands-on experience with several libraries including arm, cowplot, ggplot2, and Sleuth3, as well as describe, model, and test data using R and its extensible libraries.

3. Using R for Data Analysis in Social Sciences#

Based on Quan Li’s book of the same name, this course integrates R programming, the logic and steps of statistical inference, and the process of empirical social science research in a highly accessible, structured fashion. Learners will meet the rapid progression in statistical computing with a wide range of analytical and graphical capabilities present in R.

Machine Learning Fundamentals#

This pair of courses will get learners acquainted with and practicing Machine Learning concepts in accessible, learner-friendly ways.

4. Mastering Machine Learning Theory and Practice#

Global Artificial Intelligence authority Thomas Trappenberg’s book provides a detailed description of essential machine learning algorithms and techniques, now brought to life in this course. These techniques include regression, deep learning, reinforcement learning, Bayes nets, support vector machines (SVMs), and decision trees.

5. Game Data Science Using R#

In this course adapted from Game Data Science by Dr. Magy Saif el Nasr et al, learners will explore fundamental Machine Learning concepts by evaluating a game in R. Learners will go deeply through the training and testing process of machine learning, and will use a game to test their models.

Cryptography & Blockchain#

These courses will get learners acquainted with the fundamentals of cryptography for everyday use, including blockchain and information security.

6. Everyday Cryptography#

In this complete package course based on books written by Information Security expert Keith Martin, learners will explore cryptography with examples from historical standards to the latest standards of this era.

This course describes the basic fundamental principles of cryptography and explores application-focused scenarios of cryptography. Learners will understand how cryptography is used to protect files, disks, email, and messaging on devices such as mobile phones, including case studies of technologies such as WhatsApp and iOS. This also illustrates the latest cryptographic applications, including Tor and Bitcoin.

7. Cryptographic Primitives in Blockchain Technology#

Learn the essential mathematical and cryptographical concepts behind blockchain in this course based on Andreas Bolfing’s book. The course fills the gaps by presenting the basic concepts of blockchain while providing deep insights into background mathematics and cryptography. Learners will also explore critical cryptographical vulnerabilities and attacks against blockchain technology, and learn how to encounter them.

What’s next for Educative and Oxford University Press?#

We are thrilled for this opportunity to increase the quality and depth of our content for Educative learners, and are grateful to work with these amazing authors to bring their content to life on our interactive platform.

Stay tuned for more Oxford University Press content to be published on the Educative platform in the future!