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. Zhongguancun 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
Beijing Digital Building
2 south street, Beijing, China, 100000
Zhongguancun South Street, Haidian District, Beijing, close to the North Third Ring Road, facing the Friendship Hotel. The lo...
Zhongguancun South Street, Haidian District, Beijing, close to the North Third Ring Road, facing the Friendship Hotel. The location is in the Zhongguancun office building. It is a popular landmark office building with convenient transportation. There are many bus lines in front of the door to the major cities. The building is divided into two bases. Block A is the tallest commercial building in the west of the central axis. It adopts a pillarless large-open design and is suitable for large enterprises. The office space of Block B is flexible and suitable for small and medium-sized office enterprises. There are various restaurants, hotels, shopping malls, supermarkets, entertainment venues and other supporting facilities.
This instructor-led, live training in Zhongguancun (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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