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 Malaga or in NobleProg corporate training centers in Malaga.
Anaconda, previously Continuum Analytics, is also known as Anaconda Distribution or Anaconda Individual Edition.
NobleProg -- Your Local Training Provider
Malaga City Center
NobleProg Málaga, Street Cortina del Muelle, 1, Malaga, spain, 29015
Malaga, Andalusian city with more than 3,000 years of history, from its Phoenician origins to the beautiful and cosmopolitan ...
Malaga, Andalusian city with more than 3,000 years of history, from its Phoenician origins to the beautiful and cosmopolitan city that loves citizens from all over the world. Located in the south of the Iberian Peninsula, it is characterized by having multiple geographical sectors, such as Its abundant beaches or its high mountains.
The airport is connected to the city center and with the Málaga-María Zambrano Station by the Cercanías railway line and by the A Express of the EMT, which also has a stop inside the Bus Station, where you can link to the destination To other Spanish cities and the Costa del Sol.
This instructor-led, live training in Malaga (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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