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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
Requirements
- Experience with Python programming.
Audience
- Data scientists.
14 Hours
