Course Outline

Introduction

  • Overview of Anaconda features and components for government use
  • Core concepts and terminologies relevant to public sector operations

Getting Started

  • Installing Anaconda for government systems
  • Exploring the Anaconda Navigator user interface for enhanced usability in a governmental context
  • Running a Python program within a secure, controlled environment for government applications

Using Anaconda Navigator

  • Creating Python and R environments tailored to specific government projects
  • Managing environments, packages, and channels to ensure compliance with regulatory requirements
  • Building Anaconda Navigator apps to streamline data processing and analysis for government tasks
  • Using multiple versions of Python to support legacy systems while adopting new technologies for government operations

Managing Packages with Conda

  • Configuring Conda to optimize performance in government IT infrastructure
  • Managing packages, channels, and virtual packages to ensure robust and secure data management for government applications
  • Using Conda with Travis CI for continuous integration and deployment in government projects
  • Leveraging Conda Python APIs to integrate advanced functionalities into government systems

Data Science, Analysis, and ML in Anaconda

  • Fundamentals of Python and R programming languages for government data science initiatives
  • Tools and techniques for effective data analysis and machine learning in a governmental context
  • Use cases and examples demonstrating the application of Anaconda in government projects
  • Visualization and analysis methods to enhance decision-making processes for government agencies

Troubleshooting

  • Addressing common issues and errors encountered while using Anaconda for government tasks

Summary and Next Steps

Requirements

  • Experience in Python programming

Audience

  • Data scientists for government
 14 Hours

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