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We provide Training programs
that support individuals
and enterprises

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Browse our current webinar offerings, both free and premium to find out more about ENVERUS products.

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Find documentation, raise a support ticket, submit questions and ideas, and sign up for ENVERUS events and trainings.

In-Person Training

Understand key workflows through in-depth training courses, available offline and online.

In-person training

Transform courses

They are paid in-depth training classes designed to assist the new or experienced user to accomplish key workflows with hands-on, instructor-led exercises. Courses are half or full day and cover topics from data loading and visualization through interpretation, velocity modeling and multivariate statistics.

Face-To-Face Courses

Each face-to-face course includes access to a training computer with appropriate datasets and a hard copy training manual which can be used as a desktop reference after the training course. Where possible, public datasets are used, allowing us to share the training projects with customers. Lunch and beverages during breaks will be provided. Unless otherwise indicated, classes run from 9:00 a.m. to 4:00 p.m.

Online Courses

Online courses last 2 hours and require that a training data project pre-configured for Transform be downloaded and installed on the user’s machine. The online course will be managed in such a way that participants can follow along with the instructor using their Transform installation and having the ability to share screens and interact with other course participants. Registration is limited to 10 participants per session.

Courses are filled as registration is received. Maximum attendance is determined by venue but is typically eight students. Cancellations received more than two weeks before a course are fully refundable. Cancellations received less than two but more than one week in advance are subject to a 50% cancellation fee. If cancellation is received less than one week prior to training course, no refund will be made. Transform reserves the right to cancel or reschedule a course if fewer than three students are registered. We will attempt to provide at least one week notice in the event of cancellation.

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