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 Geneva 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
Geneva
Rue de Malatrex 14, Geneva, Siwtzerland, 1201
Overview
Our training facilities are located at Rue de Malatrex 14 in Geneva. Located on the fo...
Overview
Our training facilities are located at Rue de Malatrex 14 in Geneva. Located on the fourth floor of a well-kept office building, our premises offer enough space for successful training courses in the heart of Geneva, within walking distance of the Rhone.
Directions
The NobleProg training facilities are located in the heart of downtown Geneva, the centre of this vibrant city.
Parking
Cars can be parked in the area along Rue de Malatrex and the nearby side streets, even if you may have to search for a moment. There is no charge for parking.
Local Amenities
Around the Rue de Malatrex there are numerous small restaurants and shops where you can eat well and cheaply. There are also some hotels close by if you need accommodation for the training.
This instructor-led, live training in Geneva (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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