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. Marrakesh onsite live Anaconda trainings 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
The Spot
32 Rue Yougoslavie, Marrakech, morocco
The spot is a co-working space designed with the theme of a relaxed café that has hotdesks supporting start-up businesses, f...
The spot is a co-working space designed with the theme of a relaxed café that has hotdesks supporting start-up businesses, freelancers, entrepreneurs, art lovers and everyone else in Marrakech. It is located at the very heart of Marrakech in Gueliz where you are in close proximity to shops, restaurants and other convenience stores. The Spot is designed in a style that urges you to achieve your full creative and productive potentials thanks to the fast and uninterrupted internet connection, quiet space and other small details that are here with the intent of putting you in a productive mood.
This instructor-led, live training in Marrakesh (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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