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 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.

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Python Foundations

This 20 hour intensive Python training class provides people with prior coding experience practical, hands-on experience and foundational working knowledge of Python for data analysis, science, engineering, and other technical applications.

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Pandas Mastery Workshop

Course Details Syllabus Course Details Course Details This intensive 22.5 hours class is designed for students to gain proficiency using the Python Pandas library for…

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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

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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.

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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.

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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

New Application Transforms Chip Communication Subsystem Testing

Freescale Semiconductor needed to transform their testing processes. Freescale’s High Speed Signal Integrity (HSSI) group is responsible for testing the electrical characteristics of the communications…

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Active Learning Improves Polymer Formulation Scale-Up Efficiency

A Specialty Chemical Company Wanted to Remove the Bottleneck from their Polymer Scale-Up Process Many of the high tech products we interact with on a…

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10X Efficiency Gain and Improved Classification Using Deep Learning

Use AI techniques to efficiently extract mineralogy and grain size statistics from thin sections Thin sections provide the closest examination of in situ rock properties,…

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Accelerating Consumer Products Reformulation with Machine Learning

Consumer products need to be reformulated continually in order to adapt to new market forces, government regulations, and supply chain limitations. In some markets, sustainability…

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The Journey to Digital-centric Chemicals and Materials Laboratories

Digital technologies and the innovation they enable are steadily transforming chemicals and materials labs.  This webinar proposes five ‘levels’ of lab digital capability, providing managers…

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3 ways to identify digital transformation opportunities in your R&D lab

Is your R&D lab digitally mature? Do you use data and code to create value at every step of your R&D program? This webinar will…

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Integrating Weather and Renewable Energy Sources Data for 2.5 Million Viewers

Educating and developing a culture of responsible energy consumption The EnergizAIR project is presented both to show the innovative technology and methodology to solve the…

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Manual Processes for CSEM Replaced by Computational Tools and Strategies

Shell needed a way to effectively visualize a new scientific measurement Controlled-Source Electromagnetic sounding (CSEM) is a new tool for marine oil exploration. Sensitive electric…

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Predicting Pore Pressure From Very Limited Data Sets

ConocoPhilips wanted to make pore pressure predictions with limited data sets Logs from two wells and a limited set of 2D and 3D seismic were…

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AI/Machine Learning Techniques Quantify AVA Seismic Analysis Uncertainty

Help ConocoPhillips apply advanced AI techniques to Amplitude Versus Angle (AVA), seismic analysis Amplitude Versus Angle (AVA), seismic analysis is a well-established oil exploration tool….

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Alexandre Chabot-Leclerc

Vice President, Digital Transformation Solutions

Tim Diller

Director, Digital Transformation Services

Mark Dickinson

Director, Software Architecture

Eric Olsen

Director, Training Solutions

Glen Granzow

Scientific Software Technical Trainer

Sogo Shiozawa

Scientific Software Developer

Kuya Takami

Senior DTX Services Consultant and Instructor

Logan Thomas

Senior DTX Services Consultant and Instructor