Fellowship for Data Analytical Public Policy Leaders

Where Policy Meets Data to Shape the Future

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About the Course

The Fellowship for Data Analytical Public Policy Leaders is a comprehensive program designed to equip students, professionals, and public policy enthusiasts with essential skills in data analysis and public policy formulation. This course combines technical proficiency in statistical software—specifically SPSS, STATA, R, and Power Bl—with deep insights into public policy research, problem-solving, and decision-making. Participants will develop a strong foundation in both quantitative and qualitative research methods, enabling them to contribute effectively to data-driven public policy solutions across various sectors.

Course Objective

  • Understand the fundamentals and applications of SPSS, STATA, R, and Power BI for data analysis.
  • Gain hands-on experience in conducting and interpreting data analysis for public policy
  • Dive into essential public policy topics, including problem identification, stakeholder engagement, and policy formulation.
  • Learn to design, implement, and assess public policies using real-world data and case
  • Studies
  • Acquire skills in policy advocacy, engagement, and scaling successful policies for broader impact.

Course Overview

Format

This is a fully online course, providing flexibility for participants globally. Program Duration: Classes will be held from 1st Jan to 15th Feb, offering an immersive learning experience.

Eligibility

Open to undergraduate and postgraduate students, working professionals, and policymakers.

Certification

Upon successful completion, participants will receive a fellowship certificate.

COURSE STRUCTURE

Module 1 to 6

( Will focus on Public Health Data )

Module 1

 1.1. What is SPSS

1.2. Who uses it

1.3. How is it used

  •   2.1. Introduction
  • 2.2. Getting Help
  • 2.3. Data Entry
  • 2.4. Questionnaire design
  • 2.5. SPSS Menu Bar
  • 2.6. Importing and Exporting Data
  • 3.1. Types of Statistics
  • 3.2. Types of Data
  • 3.3. Basic Properties of Data
  • 3.4. Level of Measurement and Statistical Methods
  • 3.5. Statistical Research Process
Module 2
  •  1.1. Frequencies
  •  1.2. Descriptive
  •  1.3. Crosstabs
  • 2.1. Types of Hypothesis Testing 
  • 2.2. Null and Alternate Hypothesis 
  • 2.3.  Types of Error
  • 2.4 Confidence Interval and Confidence Level
  • 3.1. Assumptions of T Tests
  • 3.2. Conducting T Tests
  • 3.3. Understanding Output
  • 3.4. Interpretation of different parts of Output
  • 3.5. Practical example on T – Tests
Module 3
  • 1.1. Types of Chi Square Test
  • 1.2. Chi square – Goodness of Fit test 
  • 1.3. Assumptions of Chi square -Goodness of Fit Test
  • 1.4. Conducting Chi square -Goodness of Fit Test
  • 1.5. Understanding Output
  • 1.6.  Chi square – Test of Independence
  • 1.7. Assumptions of Chi square -Test of Independence
  • 1.8. Conducting Chi square – Test of Independence
  • 1.9. Understanding Output
  • 1.10. Practical example on Chi square Test (Non parametric)
Module 4
  • 1.1. Pearson’s correlation
  • 1.2. Spearman’s correlation
  • 1.3. Assumptions of Correlation 
  • 1.4. Conducting Correlation
  • 1.5. Understanding Output
  • 2.1. Understanding why and where Regression is used
  • 2.2. Assumptions of Simple Linear Regression
  • 2.3. Conducting Simple Linear Regression
  • 2.4. Understanding Output
  • 2.5. Practical examples on Linear Regression
  • 2.6. Multiple regression analysis
Module 5
  • 1.1. Mann–Whitney U Test
  • 1.2. Kruskal-Wallis Test
  • 1.3. Wilcoxon Test
Module 6
  • 1.1. What is Principal Component Analysis
  • 1.2. Conducting Principal Component Analysis
  • 1.3. Understanding Output
  • 1.4. Data analysis with real examples in SPSS
📢 All Six Module will be covered by 3 software SPSS, R and Stata , Additional 2 classes will be based on Power BI

Course Syllabus

NSSO Data Analysis with Stata

Module 7
Extracting Data from NSSO & Introduction to STATA

Module 8
Descriptive Analysis & Graphical Representation Using STATA

Module 9
Normality Testing & Parametric vs Non-Parametric Tests in STATA

Module 10
Regression Analysis Using STATA

Quantitative Analysis with R

Module 11
Introduction to Quantitative Research & Basics of R

Module 12
Data Collection and Management in R

Module 13
Descriptive Statistics & Data Visualization

Module 14
Inferential Statistics & Hypothesis Testing

Data Visualization with Power BI

Module 15
Introduction to Quantitative Research & Data Preparation in Power Bl

Module 16
Descriptive Statistics, Visualization & Reporting in Power Bl

Available Projects

1. Ethnography in Rural India: Public Policies and the Marginalized
2. Urban Landscapes: Public Policies Shaping Migration and Urbanization
3. Gender and Society: Analyzing Public Policies Affecting Women
4. Education and Aspirations: Public Policies in Indian Classrooms
5. Environmental Challenges: Evaluating Public Policies for Sustainability
7. Cultural Heritage and Identity: Public Policies for Preservation
8. Political Participation and Social Movements: The Impact of Public Policies
Caste in Public Policy
9. Technology and Society: Public Policies Navigating India’s Digital Transformation
10. Religion and Spirituality: Public Policies and Faith in Modem India
11. Conflict and Resolution: Public Policies in Peacebuilding Efforts
12. Youth and Aspirations: Public Policies Shaping the Future of India’s Youth
13. Challenges and Ethics in Qualitative Research: Reflections from Policy-Oriented
Research
14. Challenges of Public Policy in India

Publication Opportunity

The quality project will be featured in our forthcoming book, Ground Truths: Public Policy Insights by Young Scholars (ISBN 978-81-976477-1-0).

Speakers

Dr. Faiz Noor Khan Yusufi (Statistics and SPSS)

Assistant Professor (Contractual), Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, U.P

Obtained his Ph.D. degree in Statistics (2020) from the same department. His area of specialization is Biostatistics. He completed his M.Sc. (Statistics) in 2013 from the National University of Singapore, Singapore. He obtained his B.Sc. degree in Statistics (2009) from the Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, U.P. He has worked as a part-time data analyst for 4 years for the non-profit organization “Diabetes Education and Awareness Program (DEAP)”, Rajiv Gandhi Centre for Diabetes and Endocrinology, J.N.M.C., Aligarh Muslim University, Aligarh, U.P., India. He has published several papers and chapters in International/National journals of reputed indexing. Two of his research projects have been jointly granted patents with his supervisors. He has also delivered several invited lectures on Statistical Data Analysis.

Dr. Dhaval Maheta (R, Stata and Power Bi)

Professor Veer Narmad South Gujrat University, Surat. B.E.(PRODUCTION), M.B.A. (FINANCE), N.E.T (Management), PH.D. (Management), Post Graduate Diploma in Research Methodology

Dr. Dhaval Maheta is a Professor at the Department of Business and Industrial Management, Veer Narmad South Gujarat University, Surat, with over 22 years of experience in post-graduate teaching and industry (ICICI Bank, HDFC Ltd.). His specializations include Quantitative Methods, Financial Management, Production Management, Research Methodology, and Financial Derivatives.

He has presented and published 40 research papers at national and international conferences and authored several books, including Minitab Software, Statistical Analysis using R Software, Machine Learning Using R-Rattle, and Data Analysis using R. Dr. Maheta also runs a YouTube channel, “Dhaval Maheta,” offering free tutorials for researchers and data scientists. He has trained over 15,000 faculty, professionals, and bureaucrats in research software and conducted over 200 training programs in Data Science, Machine Learning, and AI. He is a certified trainer for KNIME and Atlas.ti and has received awards for his KNIME tutorials.

NETWORKING OPPORTUNITIES FOR FELLOWS
IN PUBLIC POLICY RESEARCH

During the one-month fellowship, fellows will access various networking opportunities designed to enhance their professional growth, expand their industry contacts, and deepen their understanding of public policy research. These opportunities are strategically designed to connect fellows with thought leaders, policymakers, and fellow researchers in the field.

Group Projects

Fellows will work on group projects that address real-world policy issues, fostering collaboration. These projects are designed to bring together diverse skill sets and viewpoints, encouraging fellows to co-create solutions while building lasting professional relationships.

Alumni Network Access

Fellows will gain access to alumni network of past participants who are now leading professionals in public policy. This network offers a platform for ongoing support, collaboration, and sharing of opportunities beyond the fellowship.

One-on-One Mentoring Sessions

The fellows will be paired with a mentor who is a seasoned professional in public policy. These mentors will guide fellows on career development, research methodologies, and navigating the policy landscape.

SCHOLARSHIP AND FINANCIAL AID

At IISPPR, financial constraints should not hinder accessing quality education in public policy research. We are committed to making this fellowship accessible to passionate and deserving individuals through a structured financial aid and scholarship program.
01.
The Early Bird Discount applies to all applicants who enroll before November 20, 2024.
02.
Special discount to Alumni of previous courses.
03.
Pay according to your financial capability.

CERTIFICATIONS AND RECOGNITIONS

Completion Certificate

During the one-month fellowship, fellows will access various networking opportunities designed to enhance their professional growth, expand their industry contacts, and deepen their understanding of public policy research. These opportunities are strategically designed to connect fellows with thought leaders, policymakers, and fellow researchers in the field.

Skills You'll Gain

Fellows will gain critical data and policy research skills, such as:
  • Data-Driven Decision Making
  • Quantitative & Qualitative Research
  • Policy Analysis & Evaluation
  • Leadership in Policy Implementation

In-Demand Skills (Sought by Top Companies in Policy Research)

Top companies and organizations in public policy research are seeking professionals with the following skills, all of which you’ll develop during this fellowship:
Data Analytics

The ability to interpret complex datasets to influence public policy.

Policy Effectiveness

Assessing the effectiveness of policy initiatives using data-driven insights.

Quantitative Research

Expertise in statistical models and tools to analyze policy outcomes.

Communication & Leadership

Articulating policy research findings clearly and leading cross-functional policy teams.

Critical Thinking & Problem-Solving

Tackling complex policy issues with innovative, data-backed solutions.

These skills are highly valued by government agencies, international organizations, NGOs, and private-sector companies focused on public policy.

SUCCESS STORIES

International Institute of SDG and Public Policy Research. "I had the privilege of working as a researcher and Data Scientist at the International Institute of SDG and Public Policy (IISPPR). Presenting 'our paper, A Study on Analyzing Protests and Finding Policy Gaps in the Global South, at Woxsen University was a proud moment. The invaluable guidance and support I received helped sharpen my skills in data analysis and research. Currently, as a Data Scientist at IISPPR, I continue to apply these learnings to real-world problems. I am thrilled to have received admissions from the University of Wisconsin-Madison and Boston University, confident that my experience at IISPPR has given me the knowledge, abilities, and self-assurance to thrive in the field of research."

Arshad Bagde Data scientist

I am Manan Singh, a third-year student at O.P. Jindal Global University pursuing B.A.(Hons.) Liberal Arts and Humanities with a major in History. Interning at IISPPR was an amazing experience. The foundational sessions on how to write a research paper, question formation and Literature review writing were really beneficial and have come in handy to date. I would like to thank IISPPR for the opportunity they gave me.

Manan Singh Liberal Arts and Humanities

My experience with IISPPR has been incredibly enriching. My internship at IISPPR was both insightful and rewarding, particularly regarding international relations. The hands-on projects provided me with a deep understanding of global policy challenges and the intricacies of diplomatic relations. The guidance and mentorship I received were exceptional, equipping me with practical skills and a broader perspective on international governance. It was an invaluable learning opportunity that greatly enhanced my academic and professional journey."

Rangoli

I'm immensely grateful for the enriching experience of working as an intern at the International Institute of SDG's and Public Policy Research. Despite my initial apprehension due to my limited experience in the field of public policy research. I was elated to join a team that shared my interests and provided invaluable guidance. The humility, cooperation, and healthy learning environment of everyone involved surprised my expectations. This internship has transformed me, instilling confidence, a new craving for knowledge, and a deep appreciation for the support and opportunities I received. Thanking you Divya Divyanishu Vivekananda Institute of Professional Studies New Delhi BA (JMC) 4th semester

Divya Divyanishu

Q&A SESSION

Answer: The application deadline for the fellowship is 30th November. We recommend submitting your application at least a few days in advance to avoid any last-minute issues.

Answer: The fellowship runs for six weeks, from January 1st to February 15th.

Answer: The fellowship follows this timeline:

Starts at- 7 pm

Ends at- 8:30 pm

Answer: Yes, the fellowship is open to international candidates; however, candidates are responsible for securing any necessary permits required for field research.

The amount of fellowship is ₹2500.

Answer: Fellows are expected to actively engage in their research projects and participate in all scheduled activities.

Answer: There are no strict eligibility criteria; anyone can apply for the fellowship program.

Answer: No, you don’t need any specific research proposal you can directly join

Answer: Yes, fellows will receive mentorship from experienced researchers and academics throughout the program. This includes guidance on research design, data collection, and analysis.

Answer: Fellows can present their research through community workshops or presentations, depending on the project.

To apply, visit iisppr.org.in. Send your CV to admission@iisppr.in or contact us at +91 8755502998

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