Applied Statistics in Safety and Disaster management with Jamovi.

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Applied Statistics in Safety and Disaster Management with Jamovi 
 (NEP 2020 Aligned Certificate Programme)

RPRIT is launching a pioneering programme on Applied Statistics in Safety and Disaster Management, a domain with no dedicated training institute in India. Over the last two years, RPRIT has developed indigenous statistical models covering descriptive analysis, dimension reduction, and classification, based on extensive multi-state research. As a registered vendor of Tata Power, RPRIT is now working toward a Pan-India safety and disaster analytics model to support evidence-based safety management and disaster preparedness.
Target Audience: Non-statistical students (e.g., professionals or students in safety engineering, emergency management, public health, or related fields with little to no prior statistics background).

Programme Duration: 6 Months (2 Hours per Week) Total Contact Hours: 48 Hours | Credits: 4 (NEP 2020 Compliant) Teaching Approach: Use of real industrial data and carefully designed hypothetical datasets for learning and practice. 
Programme Objectives: The programme aims to develop applied statistical competence for safety and disaster management through experiential, data-driven learning. It emphasizes interpretation, decision support, and indigenous model development rather than rote computation. 
Programme Learning Outcomes 
1. Apply statistical methods to safety and disaster-related datasets. 
2. Identify core risk dimensions and classify vulnerable groups. 
3. Interpret statistical outputs for safety planning and disaster preparedness. 
4. Develop evidence-based recommendations for industry and policy. 
Statistical software: Excel and Jamovi. 
Course Structure & Modules 1 
Module 1: Foundations of Safety & Disaster Statistics (6 Hours) Safety, hazard, risk concepts; types of data; measurement scales; ethics. Jamovi installation, data import and export, variable management, data exploration, data visualization.
Practical: Dataset familiarization and variable identification. 
Module 2: Descriptive Statistics for Safety Diagnosis (8 Hours) Accident rates, indices, trends, variability, Rank-Based data analysis for hazard identification,visualization. 
Practical: Descriptive profiling of safety/disaster data. 
Module 3: Dimension Reduction in Safety Analysis (12 Hours) Multidimensional risk, correlation, PCA/factor logic. Practical: Extraction of core safety dimensions. 
 Module 4: Classification and Risk Grouping (12 Hours) Risk grouping, high–low risk classification, validation. Practical: Classification of individuals, units, or regions. 
 Module 5: Applied Safety & Disaster Analytics (6 Hours) Industrial safety, disaster vulnerability, Pan-India perspective. Practical: Case studies using real and hypothetical data. 
Module 6: Reporting & Decision Support (4 Hours) Interpretation, reporting, communication to management and authorities. Practical: Decision-support report preparation. 
Evaluation Scheme (100 Marks) 
1. Continuous Assessment (Assignments, exercises, participation): 60 Marks 
2. Final Project (Data analysis, interpretation, report & presentation): 40 Marks 
3. Use of real or simulated datasets is mandatory for project work.
Career & Future Scope
1. Safety Data Analyst in industry, power, manufacturing, and infrastructure sectors. 
2. Disaster Risk Analyst in government agencies, NGOs, and SDMA/NDMA projects. 
3. CSR, ESG, and Safety Analytics Officer in PSUs and private organizations. 
4. Research Assistant or Project Analyst in safety and disaster research. 
5. Foundation for higher studies, diplomas, and PhD research under NEP 2020.
Certification: Certificate in Applied Statistics in Safety and Disaster Management (NEP 2020 Aligned | Industry & Research Oriented)

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