Quantitative Analysis and GIS
This is part of the PG Diploma in Research for Social Action
This certificate intends to build the capacity of the social sector organisations in quantitative analysis and GIS for social action.
It comprises two courses, focusing on:
- The use of quantitative techniques to analyse and interpret relevant organisational and public data sets.
- Utilising GIS tools to visualise and spatially relate local and national non-spatial data with spatial layers of analysis.
The certificate aims to make practitioners comfortable with handling different levels and types of datasets towards answering questions relevant to their social action needs such as monitoring, planning and designing interventions or campaigns.
The courses will be transacted through an interactive pedagogy, designed specifically for practitioners — which combines an understanding of concepts and theories with hands-on experience of doing quantitative analysis, using GIS tools.
Participants will be introduced to different thematically relevant datasets. They will also have an opportunity to work on their own datasets, if available.
This is a 3‑month programme and will be delivered in a hybrid mode with 2 weeks of face-to face classes, followed by online classes.
By the end of the programme, participants will be able to:
Work with both spatial and non-spatial datasets, along with a combination of the two
Analyse, interpret and visually communicate their findings using statistical tests and GIS maps to answer specific questions
Effectively use Excel and GIS tools for data manipulation and analysis
Individuals with a minimum of two years experience in social sector organisations, movements, unions or development journalism.
Those who have a knack of playing with numbers, percentages, charts, graphs and tables are best suited for this programme.
Participants are expected to have basic familiarity with Microsoft Excel.
Application Process
Step 1: Application form (Online)
Step 2: Online written test (which covers basic 10th standard level quantitative skills)
Step 3: Panel Interview
Fee
The fee for the 3‑month certificate programme (6 credits) is INR 20,000 (incl. GST)
This fee includes tuition fee, accommodation fee (for the on-campus components), and GST. Other expenses such as travel, food, etc. will have to be borne by the participant.
Financial assistance will be considered upon request. The decision will be at the discretion of the University.
E‑mail: admission.pgd@apu.edu.in
Mobile: 8951978091
Course Faculty
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Divya Sharma
Divya works at the intersection of complexity and adaptive decision-making. She has a keen interest in understanding livelihood decisions through the socio-ecological system lens. She works with tools like agent-based modelling, social network analysis, and system dynamics to understand livelihood decisions. She is a recipient of PhD Grant from the Collaborative Adaptation Research Initiative in…
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Neeti
Neeti teaches sustainability at Azim Premji University, with experience of more than 20 years in the field of data analytics and geospatial technology. Her research focuses on using various statistical techniques and geospatial tools to address questions in the field of forestry, agriculture, and disaster management.
She has been using R for more than a decade for both spatial and non-spatial data analysis. Before joining Azim Premji University, she worked at Indian Space Research Organisation (ISRO), Clark University, Goddard Space Flight Centre, Boston University, Woods Hole Research Centre (WHRC), and TERI School of Advanced Studies (TERI SAS)
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Sherry Joseph Martin
Sherry J Martin worked with the World Health Organization prior to coming to Azim Premji University and was involved in providing humanitarian health response to Rohingya refugees in Bangladesh in the capacity of ‘Laboratory Consultant’. He also has worked in research positions focusing on infectious diseases research with Christian Medical College, Vellore and VIT University,…
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Manjula M
Manjula has 14 years’ experience as a researcher in MS Swaminathan Research Foundation (MSSRF) with a brief stint at a research analytics firm. She works on ecological, social and economic concerns of rural livelihoods, community-based adaptation to climate change, conservation of natural resources, ecosystem services, and sustainable agriculture. She is also interested in the political…