Training
Specially-Designed Courses For A Digital Future
Public Classes
Optimized classes for learning scientific computing, data analysis, and machine learning
Ideal for individuals looking for professional growth
Duration: 3-5 Day courses
Corporate Training
Group sessions designed for teams co-working innovative solutions
Develop a shared language that fosters adoption of new solutions, collaborative design and problem-solving
Duration: 3-5 Day Courses
Applied Computing Program
Comprehensive, integrated program designed to transform your workflows
Partner closely with Enthought experts to develop new, lab-ready skills
Duration: 10-week part-time consulting & apprenticeship hybrid program
Working with the world's best companies
Why Enthought?
Transformative Results Depends 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.
Upcoming Courses
Python Foundations for Scientists and Engineers
This 40 hour class combines our Python Foundations with content relevant to scientists and engineers interested in using Python for their day-to-day computational tasks.
Data Management for Scientists & Engineers
This class combines our Python Foundations with content relevant to scientists and engineers interested in using Python for their day-to-day computational tasks.
Data Analysis with Pandas for Scientists & Engineers
This 40 hour class combines our Python Foundations with content relevant to scientists and engineers interested in using Python for their day-to-day computational tasks.
Course Comparison
| Course | Day 1 | Day 2 | Day 3 | Day 4 | Day 5 |
|---|---|---|---|---|---|
| Python Foundations | Python & OOP | NumPy & Matplotlib |
Pandas Essentials | ||
| Python for Scientists and Engineers | Python Foundations | Python Foundations | Python Foundations | Software Craftsmanship | GUIS |
| Python for Machine Learning | Python Foundations | Python Foundations | Python Foundations | Machine Learning & Visualization | Machine Learning & Visualization |
| Python for Data Science | Python Foundations | Python Foundations | Python Foundations | DBs | Machine Learning & Visualization |
| Python for Data Analysis | Python Foundations | Python Foundations | Python Foundations | Advanced Pandas | Pandas Projects |
| Machine Learning Master Workshop | Machine Learning & Visualization | ML Projects | |||
| Pandas Mastery Workshop | Pandas Essentials | Advanced Pandas | Pandas Projects | ||
| Practical Deep Learning | Intro to Neural Networks | Training Neural Networks | Evaluating Neural Networks | ||
Training Resources
This document will guide you through the transition from MATLAB® to Python. The guide is specifically designed for long-time MATLAB® users who want to migrate to Python, either partially or entirely.
A comprehensive, visual guide to manipulating data with Pandas, from understanding usage patterns to combining and reshaping dataframes. Take your Pandas skills to the next level.
Scikit-learn is a simple and efficient tool for predictive data analysis—accessible to everybody, and reusable in various contexts. Hone your scikit-learn skills with our cheat sheets, specially designed by our in-house experts to help you grow your machine learning skills.
Explore All Resources
BRIEFING: Next Generation Materials Informatics
View Webinar-on-Demand Live webinar held on October 9, 2024 JST The original event was presented to a Japanese audience. While parts are in Japanese,…
[Resource] Materials Informatics: Artificial Intelligence for Curation of Information and Knowledge Acquisition
As competition in new material development intensifies, the importance of knowledge acquisition to accelerate R&D is increasing. Download this book chapter authored by Enthought experts: “Artificial intelligence for curation of information and knowledge.”
What Materials Informatics Looks Like in the Modern R&D Lab
The Modern Materials Science and Chemistry Lab Industry success now more than ever is being dictated by the ability to continuously develop innovative new materials…
Cheat Sheet | Large Language Models+ For Scientific Research
Large Language Models+ For Scientific Research Updated August 2023 LLMs and Tools for R&D To help scientists and researchers navigate the increasing number of advanced…
WEBINAR: What Every R&D Leader Needs to Know About ChatGPT and LLMs
View Webinar-on-Demand Live webinar held on June 27, 2023 Overview ChatGPT and the explosion of advanced Large Language Models (LLMs) are disrupting every industry. We…
WEBINAR: Drug Development in the AI-Driven Lab
October 24, 2023 Overview The recent advancements in artificial intelligence (AI) and large language models have unleashed a new era of possibilities for drug development….
WEBINAR: Materials Informatics for Product Development: Deliver Big with Small Data
May 17, 2023 Overview For many industry labs, scientific data has historically been generated to answer specific, immediate research questions and then archived to protect…
Unlocking the Value of High Throughput Screening Pipelines in Small Molecule Drug Discovery
Transforming High Throughput Screening Data into Actionable Insights with Data Modeling and Visualization A mid-size small molecule cancer therapeutics biotechnology company using a custom high…
Why Top Materials Company Idemitsu Partnered with Enthought to Accelerate Product Innovation using Materials Informatics
Idemitsu’s Path to R&D Digital Transformation Idemitsu has a rich 100 year history of developing products alongside leading OEMs from project onset, and today is…
[eBook] Digital Transformation in the Life Sciences Industry
The Lab of the Future: Barriers to Digital Transformation in the Life Sciences Industry Experts predict over the next two years, life sciences companies will…
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