Online or onsite, instructor-led live Anaconda training courses demonstrate through interactive hands-on practice how to use the Anaconda ecosystem to capture, manage, and deploy packages and data analysis workflows in a single platform.
Anaconda 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 Anaconda trainings in Clermont-Ferrand can be carried out locally on customer premises or in NobleProg corporate training centers.
Anaconda, previously Continuum Analytics, is also known as Anaconda Distribution or Anaconda Individual Edition.
NobleProg -- Your Local Training Provider
Clermont-Ferrand, ZI Le Brézet
NobleProg Clermont-Ferrand, 34, Rue Jules Verne , Clermont-Ferrand, france, 63000
Training courses can be organised at our premises in Clermont-Ferrand, at your premises, or remotely.
Training courses are ...
Training courses can be organised at our premises in Clermont-Ferrand, 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 Clermont or at the NobleProg corporate training centers in Clermont-Ferrand.
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/
This instructor-led, live training in Clermont-Ferrand (online or onsite) is aimed at data scientists who wish to use the Anaconda ecosystem to capture, manage, and deploy packages and data analysis workflows in a single platform.
By the end of this training, participants will be able to:
Install and configure Anaconda components and libraries.
Understand the core concepts, features, and benefits of Anaconda.
Manage packages, environments, and channels using Anaconda Navigator.
Use Conda, R, and Python packages for data science and machine learning.
Get to know some practical use cases and techniques for managing multiple data environments.
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