atomcamp

Data Driven Climate Action
for Cities

Spatial Analysis with Public Datasets

Fee: PKR 8,000

Event Description

This one-day workshop is designed to build data literacy for professionals in sustainability, public policy, and geospatial analysis in Pakistan. Over a 3-hour session, participants will learn how to create maps and spatial analysis using public datasets, including those from the Pakistan Bureau of Statistics and geospatial data from other public sources.

With a special focus on mapping techniques and data visualization, attendees will be equipped to make data-driven decisions that inform development and climate action strategies. 

This workshop is ideal for public sector professionals, environmental researchers, and individuals working in policy and sustainable development sectors.

Pre-requisites

Participants must have a laptop with Stata, Excel and QGIS installed. No technical background is required but participants should have a basic understanding of working with datasets.

What to expect from the workshop?

  • Conducting geospatial analysis using QGIS
  • Accessing and understanding public datasets
  • Processing key selected datasets using Stata
  • Mapping and visualizing data for impactful communication

Trainer Bio

data science, Data science bootcamp, Data science trainings, AI Bootcamp, Artificial Intelligence Bootcamp

Yahya Bajwa

Yahya Bajwa is a Public Sector Data and Policy Specialist with experience at the World Bank and UN. He has over ten years of experience in designing research and conducting data analysis to support policy-making and program evaluation across sectors like energy, governance, and development. Yahya specializes in data management, statistical analysis, geo-spatial analysis, and data visualization. He uses tools such as Excel, Stata, R, SQL, Tableau, and Power BI to tackle complex problems and create positive social impact.

Agenda

Time
Task
60 min
Introduction to mapping + learning key functions in QGIS
15 min
Introduction to public datasets and how to access them
15 min
Tea + networking break
30 min
Processing selected datasets in Stata
45 min
Spatial analysis using selected datasets
15 min
Q&A