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 NanJing or in NobleProg corporate training centers in NanJing.
Anaconda, previously Continuum Analytics, is also known as Anaconda Distribution or Anaconda Individual Edition.
Standing in the heart of city's bustling Xin Jie Kou CBD, Regus business centre is on the 8th floor of Jinling Hotel Asia Pac...
Standing in the heart of city's bustling Xin Jie Kou CBD, Regus business centre is on the 8th floor of Jinling Hotel Asia Pacific Tower which is recognized as a new commercial landmark of Gulou district. This urban complex contains Grand-A offices floors, 5-star hotel, Executive Lounge, restaurants and SPA. It attracts many multinational corporations such as IBM, HP, Citibank, Deloitt, Siemens, etc. for its seamless connection to Metro Line 1 and Line 2 and having local tourist attractions nearby. Nanjing, the capital of Jiangsu Province in Southeast China renowned for its ancient heritage of ten dynasties and spectacular scenery, has now become one of China's most thriving metropolises.
This instructor-led, live training in NanJing (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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