Introducing Enthought Academy, The Premier Python Training Program for Scientific Organizations

Enthought’s training equips students with the digital skills to solve their most complex science and engineering challenges

Enthought, a company powering digital transformation for science, announced the launch of Enthought Academy (“Academy”), the most effective Scientific Python curriculum for R&D professionals. Informed by more than 20 years of training and consulting experience, Enthought Academy empowers scientists and engineers with the core skills needed to leverage technology to accelerate their research. Academy instructors are scientists and engineers themselves and have deep knowledge and understanding of the strategies and technologies covered in each track, and extensive practical experience applying Python to solve complex challenges across a range of science-based industries.

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“We are thrilled to announce the launch of Enthought Academy”

According to the World Economic Forum, 50% of all employees will need reskilling by 2025, as adoption of technology increases. To fill this growing skills gap within science-based businesses, Enthought—who has trained over 10,000 scientists and engineers and co-created the SciPy package and conference—launched the Academy to broaden access to the fundamental digital skills required to establish continuous value creation.

“We are thrilled to announce the launch of Enthought Academy,” said Eric Olsen, Director of Training Solutions at Enthought. “Many other training programs are one-size-fits-all solutions, offering a large, difficult to navigate, catalog of classes taught with pre-recorded training videos. And while easily accessible, we know these rarely work. At Enthought, we understand our students’ time is precious and have designed our program to maximize impact with the ‘Monday Morning Difference.’ With hands-on learning, expert scientist instructors and domain-relevant exercises, Enthought Academy ensures students return to work ready to deliver actionable solutions from day one.”

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Corporate groups or individual learners have the option to enroll in the following four learning tracks, each of which begins with a Python Foundations course and culminates in a certificate:

• Machine Learning Track: automate decision-making and make predictions for both “big data” and the real world of “small” R&D data.
• Data Analysis Track: compile data, make sense of it and communicate important conclusions with prose, code and visualizations.
• Tool Maker Track: develop, share and maintain software tools to save time, leverage experts’ knowledge and multiply their impact.
• Manager Track: develop a shared language, separate myth from reality, establish best practices to maintain and scale digital tools and infrastructure.

“People are at the core of digital transformation efforts, not technology,” said Alexandre Chabot-Leclerc, Vice President of Digital Transformation Solutions at Enthought. “Enthought Academy encapsulates everything we’ve learned over the last 20 years about the skills and mindset shifts required to fundamentally change the way R&D organizations operate and achieve ROI.”

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