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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
- Python programming experience
Audience
- Data scientists
14 Hours
