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

Number of participants



Price per participant

Testimonials (5)

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