Exclusive Trainings

All the training programs were created by the IesBrazil staff team with exclusive resources to give you the best experience when learning our technologies.

P.S.: While the CoViD-19 pandemic is in place, all the trainings are being delivered through online platforms.

TIBCO Spotfire Foundations (IB.SP01)

This training aims to address the concepts of data exploration and visualization, demonstrating all the interactive resources available in the TIBCO Spotfire development environment, its properties and applications. The course is split into two parts:

  1. Eight interconnected modules of data exploration, data analysis and data visualization. This part of the training will be delivered in two days (16 hours).

  2. One day (8 hours) of consulting project. Bring your own data to the training sessions and we will help you to start your own data analysis project!

Duration: 24 Hours (3 days)

Requirements: No


TIBCO Spotfire Advanced (IB.SP02)

This training aims to address Spotfire's advanced computing concepts and capabilities beyond what was presented in the foundations course. Modeling capabilities and statistical analysis of data will be introduced with the huge range of functions available and easy to use in TIBCO Spotfire. Predictive methods using R and TERR engines and data relationship will be covered. It also includes the creation and automation of data access. Also will be presented better development practices.

Duration: 24 Hours (3 days)

Requirements: TIBCO Spotfire Foundations Training


TIBCO Spotfire Infrastructure (IB.SP03)

This training aims to address the concepts and ways of deploy TIBCO Spotfire, know their architecture and ways of install it. Topics such as installation on-premises, in the cloud and also preparation of development and production environments.

Duration: 16 Hours (2 days)

Requirements: TIBCO Spotfire Foundations Training


R for Data Science (IB.R01)

Using RStudio Workbench, you will be presented to the main concepts of the R programming language focusing in data science tasks such data exploration, data structure, data modeling and data visualization. Some predictive tasks such clustering and linear regression will be explored.

Duration: 16 Hours (2 days)

Requirements: Basics of Programming

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