Announcing New Virtual Training Courses

We’re going online to respect the social distancing measures currently in place to slow the spread of COVID-19. Our training courses will be taught virtually, with sessions delivered in real-time by Enthought trainers. 

More information on format, schedule and delivery is available on the individual course pages. If you have already booked a training course and have questions about your booking, please contact us.

Developing Skills for the Digital
Leadership of the Future

Driven by the Latest Advances 

Enthought has been providing training in scientific computing since 2001, focused on the Python programming language. 

A strength of Enthought is its trainers’ engagement with the scientific software consulting business, working across multiple industries and bringing experience in creating new, innovative workflows.

“Excellent, important, succinct way to build a knowledge base in Python, critical to helping me develop the skills to successfully implement my ideas in new ways, and the ability to do so successfully.”

– Tyler C., Enthought Training Participant 

Frequently Asked Questions

Enthought training is focused on teaching students how to write software with Python and solve problems using its scientific packages. The training is generic and works with any Python distribution.

Read the specific course syllabus to understand the topics covered and the working knowledge required for the training to be most effective. Other, more general FAQs are answered in the link below.

“A very insightful course delivered by a true expert. I have left the course with hundreds of ideas upon which I can now act.”

– Neal M., Python for Data Science attendee

Enthought Training Content - scikit-learn, Pandas and Migrating from MATLAB to Python

Enthought trainers have developed quick reference guides for Pandas and scikit-learn. The Pandas sheets cover manipulation of data. The scikit-learn sheets are designed as a concise reminder of essential machine learning concepts.

‘Migrating from MATLAB to Python’ is a 43-page guide for experts considering making the change. It provides strategies, comparisons and an extensive ‘how to’ guide to making the transition to python.

Pandas
scikit-learn
Migrating MATLAB to Python

Transformative Results Depend on Digital Skills

Creative disruption in digital transformation depends on digital skills. There is significant benefit from implementing technology, for example in how data is organized, accessed and shared, or specific tools for specific workflows. However, these advances, while accelerating workflows, do not fundamentally change anything in the organization or how it runs. The effects are local.

In this video, Mike Connell talks about how people have to think differently, and think more broadly about what is possible to truly deliver transformative business results.

Mike Connell | 1m35s | Using Digital Skills to Think Differently

Selected Testimonials and Clients

Hear it from the scientists and engineers who have attended Enthought training courses.

Develop Scientists and Engineers into Leaders of the Digital Future

The Digital Tranformation Technical Leaders Program is a multi-year effort designed to develop scientists and engineers into digital scientists and engineers who will becomes the technical leaders of tomorrow.

The program combines training, apprenticeship, and real-life workplace problem solving to accelerate the development of technical teams.