Specially-Designed Courses For A Digital Future
Optimized classes for learning scientific computing, data analysis, and machine learning
Ideal for individuals looking for professional growth
Duration: 3-5 Day courses
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
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.
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.
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.
|Course||Day 1||Day 2||Day 3||Day 4||Day 5|
|Python Foundations||Python & OOP||NumPy
|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 &
|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|
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.
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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…
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…
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…
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…
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….