Course Outline

Introduction

  • Overview of Python and its Robust Ecosystem for Data Analysis for government

Getting Started

  • Setting up the Development Environment
  • Installing Python, Numpy, and Pandas for government use
  • Installing Jupyter for efficient code development and collaboration

Python Programming for Data Analysis for government

  • Overview of Python Syntax for Effective Coding in Government Projects
  • Writing and Running Python Code to Support Data-Driven Decision Making

Working with Data for Government Applications

  • Importing a Dataset from Government Sources
  • Cleaning the Data to Ensure Accuracy and Reliability for government use

The Python Data Frame for Government Analytics

  • Understanding Data Frames for Efficient Data Management in Government Projects
  • Manipulating Data in a DataFrame to Enhance Analysis Capabilities for government

Gaining Insights from Data for Government Operations

  • Summarizing the Data to Support Informed Decision-Making for government
  • Generating Reports for Transparent and Accountable Governance
  • Visualizing Data to Communicate Findings Effectively in a Government Context

Saving Your Python Code for Government Use

  • Saving Your Code in a Version Control Repository for Collaborative Development in Government Projects
  • Allowing Others to Access Your Code to Foster Collaboration and Transparency within Government Agencies

Improving Your Code for Government Applications

  • Testing Your Code and Fixing Errors to Ensure Reliability for government use
  • Tightening Your Code Using an Iterative Approach to Enhance Efficiency in Government Projects

Taking Your Code to Production for Government Use

  • Uploading Your Code to a Website for Accessible and Secure Deployment in Government Operations
  • Automating the Execution of Your Code to Streamline Processes in Government Projects

Python Programming Best Practices for Government Applications

Summary and Conclusion for Government Use

Requirements

  • Programming experience in any language for government applications

Audience

  • Developers working on public sector projects
  • Beginning data scientists in government roles
  • Business analysts with technical skills for government use
 28 Hours

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