Enhanced

Engagement

About the Course

This January, enhance your skills in data analysis by joining our SPSS Workshop Series. Designed for students, researchers, and professionals, this series provides a step-by-step understanding of SPSS, from basic functions to advanced statistical techniques. Whether you are new to SPSS or looking to deepen your expertise, these workshops will equip you with the tools needed to analyze data confidently and effectively.
The series will cover a wide range of topics, ensuring a comprehensive learning experience. You will start with an introduction to the software, learning how to import and manage data. As the sessions progress, you will explore descriptive statistics, data visualization, and hypothesis testing. Advanced topics, such as regression analysis and ANOVA, will also be covered, offering practical insights into applying statistical methods. The final session focuses on a real-world case study, walking you through the entire process from data cleaning to generating actionable insights.
All sessions are conducted online, providing flexibility for participants to join from any location. Each workshop includes hands-on practice, ensuring you can apply what you learn immediately. A certificate of participation will be awarded upon completing the series.
If you aim to enhance your analytical skills and apply statistical tools effectively, this workshop series is an excellent opportunity.
Register today and take the first step toward mastering data analysis with SPSS.

  • 4.9 ⭐⭐⭐⭐⭐ (1068 Verified ratings)
  • 7751 learners

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.

About the Course

  • Understand the fundamentals and applications of SPSS and Power BI for data analysis.
  • Gain hands-on experience in conducting and interpreting data analysis for public policy
  • Dive into essential research topics, including problem identification.
  • Learn to design, Analysic the resach data, Through SPSS.
  • Acquire skills in statics and advance data analysis, engagement, and scaling successful policies for broader impact.

Course Curriculum

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

International Institute of SDGS & Public Policy Research

Apply Now

This Course Included :

6 Modules

Homework after each class

Learn Relevant Data Analysis Technique

Certification

Module 6

Do Relevant Projects in this workshop

One-on-One Mentoring Sessions

Our 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.

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

Frequently Asked Questions

Answer: The application deadline for the Workshop is 3rd Jan 2025. We recommend submitting your application at least a few days in advance to avoid any last-minute issues.

Answer: The Workshop runs for 6 Classes.

Answer: The Workshop timeline:

Starts at- 7:00 PM

Ends at- 9:00 PM

The classes will be had on every sat and sun.

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 ₹1000.

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

Apply Now