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Data Analytics for Public Policy

Master data analytics to drive impactful public policy decisions — learn to analyze, visualize, and communicate insights using real-world datasets from Pakistan.

  • Online
  • 1 Month
  • 30th June
  • 7:00 PM - 9:00 PM (Monday, Wednesday, & Friday)
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pricing plan
  • Fee: PKR 20,000 | Standard
  • Discounted fee for ITU students: PKR 10,000
  • Discounted fee for women and atomcamp alumni: PKR 15,000
  • Eligibility criteria
  • Beginner-Friendly
  • No prior experience in Data Analytics is required. 
  • Currently enrolled in or have graduated with a Bachelor’s degree in any subject. 

The Data Analytics for Public Policy course is a joint initiative by Information Technology University (ITU) Lahore and Sustainability Lab at atomcamp. This comprehensive program equips participants with data analytics and visualization techniques for public policy and governance. You will explore key policy areas such as health, education, environment, and more through a data-driven lens, working directly with national-level public datasets from Pakistan, including PSLM and MICS.

The course focuses on how data can inform better decisions and effective communication of insights to support policy analysis. You will learn practical tools for analyzing and presenting data effectively. This course is ideal for students, young graduates, and professionals planning careers in research, development, or the public sector.

Course Curriculum

  • Frameworks for public policy analysis
  • Role of data in policy formulation and evaluation
  • Key policy domains in Pakistan
  • Data cleaning and preparation techniques
  • Descriptive statistics and summary analysis
  • Pivot tables and advanced Excel functions for policy data
  • Introduction to Stata programming environment
  • Understanding and working with PSLM and MICS datasets
  • Analyzing key policy themes from public datasets
  • Merging and managing complex datasets
  • Linear and logistic regression fundamentals
  • Interpreting regression results for policy implications
  • Hands-on analysis of real policy questions
  • Data visualization principles for policy communication
  • Creating interactive dashboards
  • Designing effective visual narratives
  • Writing policy briefs and memos
  • Presenting data-driven recommendations
  • Stakeholder communication strategies
  • Final project showcasing applied policy analysis
  • Peer feedback and expert evaluation
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