Online or onsite, instructor-led live Wolfram training courses show participants how to program in Wolfram through interactive hands-on practice.
Wolfram training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Wolfram training can be carried out locally on customer premises in Grenoble or in NobleProg corporate training centers in Grenoble.
NobleProg -- Your Local Training Provider
Grenoble, Centre Ville Proche Gare
NobleProg Grenoble, 34 avenue Felix Viallet, Grenoble, france, 38000
Training courses can be organised at our premises in Grenoble, at your premises, or remotely.
Training courses are given in...
Training courses can be organised at our premises in Grenoble, at your premises, or remotely.
Training courses are given in English or French. We organise a coordination meeting with the trainer and the participants to adapt the training program to your expectations. The courses consist of interactive discussions, theoretical parts and practical exercises.
The training is available as "live on-site training" or "live remote training". Live on-site training can be conducted locally at the client's premises in Grenoble or at the NobleProg corporate training centers in Grenoble.
Remote e-learning is conducted using an interactive desktop computer. NobleProg is the publisher of the DaDesktop software, which is presented in a video at https://www.dadesktop.com/
The "Mathematica - wprowadzenie, wizualizacja i prezentacja danych" training is aimed at participants with basic mathematical knowledge. Mathematica, as a powerful mathematical engine, enables effective calculations, creating text documents, building charts and presenting data. Participants will gain practical skills in working with Mathematica, used, among others, in mathematics, physics, biology, financial analysis and other fields.
This instructor-led, live training in Grenoble (online or onsite) is aimed at data scientists who wish to use machine learning in Mathematica for data analysis.
By the end of this training, participants will be able to:
Build and train machine learning models.
Import and prepare data for machine learning.
Separate training data from test data.
Explore deep learning and neural network applications in data analysis.
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Testimonials (2)
The teacher addressed many relevant topics for clean coding with practical examples.
Ben van Oeveren - Movella
Course - Clean Code
I really liked that there were a lot of practical exercises in which you could put the learned immediately into action.
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