Data Science for Public Policy
1 Day Free Workshop
- In Person
- Monday, 1st January 2024
- 10 AM - 2 PM (PKT)
- P Block Auditorium, Planning Commission, Pakistan Secretariat, Islamabad
Course Description
Introduction
This free workshop is for serving government officials.
The workshop will be conducted jointly by atomcamp and Ministry of Planning, Development, and Reforms. It will focus on the crucial integration of data science.
It will provide participants with a comprehensive understanding of data analysis and visualization techniques as they apply to governance-related data sets in Pakistan. The workshop will explore various datasets such as PSLM (Pakistan Social and Living Standards Measurement) and MICS (Multiple Indicator Cluster Survey), among others.
Participants will learn how to analyze and visualize data, and gain knowledge of survey research and design. Additionally, the workshop will cover real-world case studies to showcase how data insights can influence policy outcomes.
By the workshop’s end, participants will possess a deeper understanding of leveraging data science for informed, impactful, and evidence-based public policy decisions.
Though this workshop is free for government, the seats are limited and applications will be filtered through a selective process.
Topics covered
Module 1: Introduction to Data Science for Public Policy
- The importance and role of data science in public policy
- Data Literacy and Data Governance
- Introduction to deriving insights from data
- Tools being used in the field
Module 2: Surveys of Pakistan
- Exploring various datasets available in Pakistan
- Impromptu activity on trying to answer public policy questions on a given dataset using excel and other tools
Module 3: Using ChatGPT and Power BI for Data Analysis
- Introduction to ChatGPT-4 for Data Analysis
- Derive insights from same dataset using ChatGPT
- Create simple dashboard using Power BI
- Hands-on Practice
Module 4: Evidence in Public Policy - with Case Studies
- Real-world examples where evidence influenced policy outcomes.
- Demonstrate how data and analysis were used in policy formulation or modification
- Identifying common challenges in using evidence in policy-making.
- Strategies to address barriers such as data availability, biases, and political resistance
