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.

See all virtual courses

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 

See the course list
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

See training faq's

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
Download
scikit-learn
Download
Migrating MATLAB to Python
Download

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.

“Enthought has provided an amazing product in Canopy and the Python training sessions are top-notch in terms of breadth and quality.”
Python for Scientists and Engineers
“This course provides excellent support for those who many have never programmed in Python while taking you through the concepts of applying ML to different types of applications.”
Python for Machine Learning
“The course is polished, thorough, and provides resources that I can refer to and apply to my work effectively. The instructor is very knowledgeable, enthusiastic and well organized. Whole team is really impressed...Great investment!”
Python for Data Scientists
“These days most companies are trying to sell online learning, either live or recorded. I've been there and usually walk away having actually learned very little. Spending time in a real classroom, with a great instructor like Dillon and having the ability to engage with fellow classmates brings learning to a level incomparable with those online options. Thanks again for a great experience!”
Python for Scientists and Engineers
“Enthought's Python course for Scientists and Engineers is one of the best technical/programming classes that I have taken, bar none. Even though the course covered a large amount of concepts (some of which were pretty complex), it was fun, highly interactive and structured in a clear and concise way. It is not always easy to do these things all at once! Dillon is one of the best teachers that I have encountered in the industry and demonstrated strong Python fluency.”
Python for Scientists and Engineers
“One of the best classes, I've attended. As a student of a number of classes from Assembly Language to Java and .net., I could see this class was designed incredibly to the point. Instructor new the path and had all the required knowledge for the course and delivered in a very professional way.”
Advanced Python
“The class was a lot of information, but it was presented in such a way that I was not overwhelmed. The instructor was really great and made the information very easy to understand. The exercises helped a lot, as well. Overall, this was probably the best programming class I've taken in terms of getting a large amount of information and being able to actively use it immediately following the class. I highly recommend this course!”
Python for Scientists and Engineers
“I really appreciated both the teaching skills and style of Dr. Niederhut. Not only was he incredibly knowledgeable about python he was also a wonderful instructor. The hands-on structure of the class and the in-depth ways in which questions were answered made everything accessible and easy to understand. I would recommend this course and particularly Dr. Niederhut for anyone thinking about using python.”
Python for Scientists and Engineers
“Terrific course! Perfect foundation to train my entire team of data scientists. We now have a common language and common set of tools for our daily research. I'm looking forward to seeing the full impact of this workshop over the next several months.”
Pandas Mastery
“Excellent, important, succinct way to build a knowledge base in Python, critical to helping me develop the skill to successfully implement my ideas in new ways. and the skill to do so successfully”
Python for Data Science
“This workshop was EXCELLENT and has inspired me to use what I have learned to improve my scientific work flow and improve the efficiency of data analysis in my laboratory.”
Python for Scientists and Engineers

Meet the Enthought Trainers

Enthought expert trainers are leaders in their respective fields, and key contributors to open source libraries around the world. Each brings their deep domain expertise and passion for scientific python to the courses they teach.

Alexandre Chabot-Leclerc,
Director, Training Solutions
Eric Olsen,
Scientific Software Technical Trainer
Ph.D., History
Glenn Granzow,
Scientific Software Technical Trainer
Ph.D., Applied Mathematics
Joris Vankerschaver,
Manager, Strategic Technologies, Life Sciences Solutions
Ph.D., Applied Mathematics
Kuya Takami,
Consultant, Digital Transformation Services
Ph.D., Mechanical Engineering
Mike McKerns,
Scientific Software Technical Trainer
Ph.D., Physics
Mark Dickinson,
Director, Software Architecture
Ph.D., Pure Mathematics
Tim Diller,
Director, Digital Transformation Services
Corran Webster,
Managing Director, Strategic Technologies
Chris Farrow,
Vice President Materials Science Solutions
Didrik Pinte,
CTO

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.

Learn more about the program