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
Testimonials (6)
very comprehensive in regards to doing data analysis using python
Mervin Lau - MINDEF
Course - Python for Data Analysis
Trainer was very patient with helping us resolve problems that we had faced as well as clarifying our doubts.
Chua Wei Zhi - MINDEF
Course - Python for Data Analysis
clear explanation with adequate examples.
Raphael Reynold - MINDEF
Course - Python for Data Analysis
Patience of the trainer while making sure everyone understand the lesson
Yeo Yu Xin - Ministry of Defence, Singapore
Course - Python for Data Analysis
It's very hands-on and I can follow despite the lack of calculus background.
Wei Pin Ho - Ministry of Defence, Singapore
Course - Python for Data Analysis
Very hands-on practice, engaging and good amount of breaks in between. Thus did not feel tired/lethargic.