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 training can be carried out locally on customer premises in Utrecht or in NobleProg corporate training centers in Utrecht.
Anaconda, previously Continuum Analytics, is also known as Anaconda Distribution or Anaconda Individual Edition.
NobleProg -- Your Local Training Provider
Utrecht
The Office Operators, Stadsplateau 7, Utrecht, Netherlands, 3521 AZ
Training courses in the very heart of Utrecht city centre, with Central Station at your doorstep. NobleProg has the use of 16...
Training courses in the very heart of Utrecht city centre, with Central Station at your doorstep. NobleProg has the use of 16 professional and modern training rooms in the Utrecht WTC Meeting & Conference center.
All rooms are equipped with LCD screens and every room offers natural day light.
The WTC Utrecht is located directly adjacent to Utrecht Central Station, within walking distance from the historical centre and has ample parking opportunities for cars as well as bicycles. This makes WTC Utrecht a dream location for organisations that are looking for the ideal place to hold their meetings.
This instructor-led, live training in Utrecht (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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