IISPPR
International Institute of SDGS & Public Policy Research
About the Course
Program Duration
36 - 50 Hours Over 60 Days
Class Timings
Evening Class and Maximum 3 Classes a week
Class Dates
1st of January to 28th of February completely online class
What You’ll Learn
By the end of the course, participants will be able to:
1. Understand key concepts in data science, statistics, and visualization.
2. Analyze and interpret public datasets and policy indicators.
3. Apply machine learning and AI-based tools to social problems responsibly.
4. Identify biases, gaps, and ethical challenges in data-driven governance.
5. Communicate findings effectively through data storytelling and visualization.
6. Build a policy data dashboard or applied capstone project relevant to your domain.
Network with like-minded professionals in the analytics and data science domain
What Makes This Course Different?
Critical, Not Just Technical
We go beyond definitions — unpacking power, participation, and systemic failures.
Global and Local Lens
From AI governance to grassroots movements — understand how global trends impact your everyday life.
Practical Skills You Can Use
Master tools like data interpretation, ethnography, and policy brief writing to influence real change.
Learn to Communicate With Impact
From crafting persuasive briefs to writing academic research — develop skills that resonate with both policymakers and the public.
In a world flooded with technical policy jargon and one-size-fits-all theories, most public policy courses stay trapped in outdated models, ignoring the real forces of power, exclusion, and lived experiences.
Why Get Public Policy & Data science Certification From IISPPR ?
Who Should Enroll ?
Faculty & Mentorship
Learn from experienced faculty and practitioners in public policy, data science, and governance innovation. You’ll engage with mentors who bring decades of field experience from academia, government, and international development agencies.
About the Fieldwork
For the fieldwork, you won't need to travel far. You can conduct it right in your own neighborhood. We'll provide you with detailed instructions on how to carry out the fieldwork in your local area.
Gold Medal Recognition for Outstanding Contributors
We believe in celebrating excellence.
As part of this course, participants who demonstrate exceptional critical thinking, research skills, and policy analysis will be recognized at the highest level.
The authors of the Top 2 Best Papers will be awarded the prestigious Gold Medal, honoring their contribution to advancing meaningful, evidence-based public policy discussions.
✔ Showcase your work to experts
✔ Gain recognition for your ideas
✔Set yourself apart with a distinguished achievement on your CV
Think critically. Write boldly. Compete for the Gold.
Publication Opportunity with IISPPR
At the International Institute of SDGs and Public Policy Research (IISPPR), we believe learning should lead to real-world recognition.
That’s why we’re offering a unique platform for outstanding contributors:
The Top Selected Papers from this course will be published as official Book Chapters under IISPPR’s own publication, complete with an ISBN-registered book launch.
✔ Your work will be part of a globally accessible, citable book
✔ Gain academic credibility and showcase your expertise
✔ Strengthen your research profile with a recognized publication
✔ Contribute to a curated volume featuring top ideas in public policy
Only the best articles make it — challenge yourself to be among them.
Your research. Your voice. Published.
Course Structure:
18 Power-Packed Lectures, moving from foundations to advanced applications:
✔ Public Policy Concepts, Power & Participation
✔ Policy Processes, Institutions & Global Governance
✔ Tools, Trade-offs, and Health Policy Challenges
✔ Data, Evidence, and Exclusion in Policymaking
✔ AI, Digital Governance, and Crisis Response
✔ Citizen Engagement, Advocacy, and Communication Skills
✔ Ground-Level Research: Ethnography & Community Realities
✔ Writing for Influence: Policy Briefs & Scholarly Publishing
✔ Reflective, Critical Approaches to Future Policy Pathways
Syllabus
Level 3 - Public Policy Program
Topics: Participatory governance; lobbying; protest; policy literacy; social movements’ influence on policymaking.
Topics: Surveys, administrative records, big data; accessibility issues; bias; data politics.
Topics: Data interpretation; visualization techniques; communicating data for policy impact; avoiding misuse.
Topics: Ethnography’s role in policy research; understanding community realities; informal governance; qualitative insights.
Topics: Integrating ethnographic evidence into policy design; monitoring; evaluation; ethical research practices.
Topics: Policy brief structure; crafting concise, actionable recommendations; communicating with policymakers.
Topics: Research paper components—abstract, introduction, literature review, methods, findings, conclusion; scholarly rigor.
Topics: Strengthening arguments; integrating theory and evidence; meeting academic publishing standards.
Topics: Interrogating policymaking limitations; structural exclusions; reflective learning; empowering engaged, critical citizens.
Level 4 - Data Science for Policy and Governance.
Module 1-6 Will focus on Public Health Data and Module 7-9 will focus on NSSO Data Analysis with PYTHON
1. A Brief Introduction of SPSS
1.1. What is SPSS
1.2. Who uses it
1.3. How is it used
2. SPSS – A Tool of Statistical Study
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. Statistics – The Main Function of SPSS
• 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
1. Descriptive Statistics in SPSS
1.1. Frequencies
1.2. Descriptive
1.3. Crosstabs
2. Statistical Estimation and Sampling Process
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. T – Tests
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
1. Chi square Test (Non parametric)
• 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)
1. Correlation
1.1. Pearson’s correlation
1.2. Spearman’s correlation
1.3. Assumptions of Correlation
1.4. Conducting Correlation
1.5. Understanding Output
2. Linear Regression
· 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. Nonparametric Procedures
1.1. Mann-Whitney U Test
1.2. Kruskal-Wallis Test
1.3. Wilcoxon Test
1. Principal Component Analysis
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
Extracting Data from NSSO & Introduction to PYTHON
Topics Covered
Overview of NSSO datasets (types of data, sources, accessing data).
Extracting data from NSSO (tools and methods for downloading).
Introduction to PYTHON interface, basic commands, and data types.
Importing and managing NSSO data in PYTHON.
Hands On
Downloading and extracting data from NSSO.
Importing NSSO datasets into PYTHON.
Data management in PYTHON: renaming, labeling variables, sorting, filtering.
Descriptive Analysis & Graphical
Representation Using PYTHON
Topics Covered
Descriptive statistics (mean, median, standard deviation, frequency distribution).
Graphical representation in PYTHON(histograms, bar charts, scatter plots, pie charts).
Customizing graphs and exporting them for reports.
Hands On
Using PYHTON commands for descriptive statistics (summarize, tabulate, describe).
Creating and customizing graphs (histogram, twoway, bar, scatter).
Exporting graphs for reports.
Homework
Perform descriptive analysis and graphical representation for a provided dataset using PYTHON
Normality Testing & Parametric vs Non-Parametric Tests in PYTHON
Topics Covered
Introduction to normality testing (Shapiro-Wilk test, Q-Q plots, skewness, kurtosis).
Overview of parametric tests (t-test, ANOVA).
Overview of non-parametric tests (Mann-Whitney U test, Kruskal-Wallis test).
Hands On
Normality testing in PYTHON (swilk, qnorm, skewness, kurtosis).
Conducting parametric tests (t-test, ANOVA using ttest, anova).
Performing non-parametric tests (ranksum, kwallis).
PYTHON
Test a dataset for normality and conduct both parametric and non-parametric tests on
different variables.
Ready to Understand Policy — And Be Part of Changing It?
18 Power-Packed Lectures, moving from foundations to advanced applications:
Public policy isn’t just for politicians, bureaucrats, or global elites. It shapes your life — your rights, your opportunities, your community.
This course gives you the tools to decode the system, question power, and contribute to real change — without the barriers of high fees or complicated jargon.
For just ₹2,999, you’ll access global-level learning designed for students, young professionals, and everyday change-makers — especially from the Global South.
Learn the skills. Ask the hard questions. Influence the future.
Join the Public Policy Foundations Course today — because real understanding should be accessible to everyone.
Fee Structure
We believe high-quality public policy education shouldn’t be reserved for elites or expensive global programs. It should be accessible to the students, young professionals, and change-makers who need it most , especially across the Global South.
That’s why we’ve designed this globally structured, 36-hour Public Policy Foundations course , available for just ₹2,999 (Prelaunch Offer ) .
Get the same critical thinking, data literacy, health policy, and real-world writing skills taught in top international universities — without the high fees.
This isn’t just theory. It’s your pathway to understanding, critiquing, and influencing the policies that shape your future — at a price built for accessibility, not exclusivity.
Refund Policy: Please Read Carefully
This course is designed to be affordable and accessible — providing global-quality public policy education at a fraction of typical costs. To maintain this pricing and ensure access for as many learners as possible:
All course fees are non-refundable.
We encourage you to review the course details thoroughly and ensure it aligns with your learning goals before enrolling.
Frequently Asked Questions (FAQ's)
This course is designed for students, young professionals, aspiring researchers, activists, and curious citizens, especially those from the Global South, who want to understand how public policy shapes the world — and how to engage with it critically.
No prior background required. We start from the basics but quickly build towards critical thinking, practical tools, and global case studies. Whether you’re a beginner or have some exposure, you’ll gain valuable insights.
The course includes 36 hours of structured learning, delivered through recorded lectures, real-world examples, and practical assignments. Learn at your own pace — anytime, anywhere.
Yes. Upon successful completion, you’ll receive a Certificate of Completion, demonstrating your understanding of public policy fundamentals, critical thinking, and applied skills like data interpretation and policy writing.
The full course, including 18 expert-led sessions and all learning materials, is available for just ₹2,999 a price designed for accessibility, not exclusivity.
