Overview
Anaconda is a free distribution of Python and R programming languages for data science. It provides an easy-to-use platform that simplifies package management and deployment.
This instructor-led, live training (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.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Requirements
- Python programming experience
Audience
- Data scientists
Course Outline
Introduction
- Overview of Anaconda features and components
- Core concepts and terminologies
Getting Started
- Installing Anaconda
- Exploring the Anaconda Navigator UI
- Running a Python program
Using Anaconda Navigator
- Creating Python and R environments
- Managing environments, packages, and channels
- Building Anaconda Navigator apps
- Using multiple versions of Python
Managing Packages with Conda
- Configuring Conda
- Managing packages, channels, and virtual packages
- Using Conda with Travis CI
- Conda Python APIs
Data Science, Analysis, and ML in Anaconda
- Python and R fundamentals
- Tools and techniques
- Use cases and examples
- Visualization and analysis
Troubleshooting
Summary and Next Steps