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 Hangzhou or in NobleProg corporate training centers in Hangzhou.
Anaconda, previously Continuum Analytics, is also known as Anaconda Distribution or Anaconda Individual Edition.
The Hangzhou Foreign Economy & Trade Plaza Centre is in the heart of Hangzhou's central business district. The area i...
The Hangzhou Foreign Economy & Trade Plaza Centre is in the heart of Hangzhou's central business district. The area is home to a vibrant private sector with many multinational companies having set up a base there including those working in banking, IT, electronics, engineering and foreign trade. Just 1.5 hours from Shanghai by train, the city has a growing economy with many more companies attracted to the area. Hangzhou has been one of the wealthiest cities in China for over 1,000 years, mainly due to the stunning natural beauty of the area as well as its location on the Hangzhou Bay. There are many shopping malls, restaurants and hotels within walking distance of the centre.
This instructor-led, live training in Hangzhou (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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