Exploring Survey Data on Health Care Course | NSSO NFHS IHDS Analysis
Course Details
| Exam Registration | 105 |
|---|---|
| Course Status | Ongoing |
| Course Type | Elective |
| Language | English |
| Duration | 8 weeks |
| Categories | Humanities and Social Sciences |
| Credit Points | 2 |
| Level | Undergraduate/Postgraduate |
| Start Date | 19 Jan 2026 |
| End Date | 13 Mar 2026 |
| Enrollment Ends | 02 Feb 2026 |
| Exam Registration Ends | 16 Feb 2026 |
| Exam Date | 28 Mar 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Master the Art of Health Care Data Analysis: An In-Depth Course Overview
In today's data-driven world, the ability to analyze complex health survey data is a critical skill for researchers, policymakers, and professionals across multiple sectors. The course "Exploring Survey Data on Health Care", instructed by the esteemed Prof. Pratap C. Mohanty of IIT Roorkee, offers a unique opportunity to gain this expertise. This 8-week intensive program is designed to transform raw data into actionable insights for improving health outcomes.
Meet Your Instructor: Prof. Pratap C. Mohanty
Bringing over thirteen years of teaching and research experience from reputed institutions, Prof. Mohanty is a leading authority in quantitative data analysis. At IIT Roorkee's Department of Humanities and Social Sciences, he has been instrumental in teaching 'Research Methodology' to Masters and PhD students for over four years. His expertise extends to organizing Quality Improvement Programs and contributing to NPTEL-MOOCs on large-scale data handling, ensuring you learn from a seasoned academic and practitioner.
Who Should Enroll in This Course?
This course is meticulously designed for a diverse audience seeking to harness the power of health data.
- Students: Undergraduate and Postgraduate students in Economics, Management, Sociology, Engineering, Architecture, and interdisciplinary studies.
- Researchers & Academics: Professionals engaged in teaching and research who require robust data analysis skills.
- Industry Professionals: Analysts in consultancy firms (like KPMG, PWC, Deloitte), business analytics, and the healthcare industry.
- Policy Analysts: Individuals involved in health policy formulation, evaluation, and capacity building.
Course Objectives: What Will You Achieve?
The primary goal is to empower learners to confidently handle and analyze large-scale, complex health survey databases. You will move from theory to practical application, gaining hands-on experience with real-world data.
- Understand health-related variables and major Indian databases (NSSO, NFHS, IHDS).
- Master data collection, tabulation, and both descriptive and inferential statistical analysis.
- Gain proficiency in using industry-standard software: SPSS and STATA.
- Learn to analyze both quantitative and qualitative health data.
- Acquire skills to handle longitudinal (panel) data and evaluate health policies effectively.
Weekly Course Breakdown: Your 8-Week Learning Journey
| Week | Topic | Key Learning Outcomes |
|---|---|---|
| Week 1 | Introduction to Health Care Data | Overview of health data landscape, key variables, and major survey databases. |
| Week 2 | Preparation for Field Survey on Health Care | Designing surveys, questionnaire development, and ethical considerations. |
| Week 3 | Testing of Sample Data | Sampling techniques, data validation, and preliminary checks. |
| Week 4 | Handling of Data Software | Introduction to SPSS & STATA interfaces, data import, and basic operations. |
| Week 5 | Survey Data using STATA | Advanced data management, variable creation, and survey commands in STATA. |
| Week 6 | Analysis of Data | Applying descriptive statistics, regression analysis, and interpreting results. |
| Week 7 | Panel Survey Data | Understanding longitudinal data structure and analysis methods for panel data. |
| Week 8 | Policy Evaluation of Health Care | Techniques for assessing the impact and effectiveness of health policies and programs. |
Essential Reading Materials & Resources
To complement the lectures and practical sessions, the course draws from a rich selection of authoritative texts, ensuring a solid theoretical foundation.
- Greene, W. H.: Econometric Analysis
- Freedman, Pisani & Purves: Statistics
- Cameron & Trivedi: Microeconometrics using STATA
- Gujarati, Damodar: Econometrics: By Example
- Wooldridge: Econometric Analysis of Cross-section and Panel Data
- Consoli, S; Recupero, D; Petkovic, M: Data Science for Healthcare: Methodologies and applications
- Drummond, M; Sculpher, M; Torrance, G: Methods for the Economic Evaluation of Health Care Programmes
Additional readings and detailed concepts will be provided through comprehensive lecture presentations.
Industry Relevance and Career Impact
This course bridges the gap between academic knowledge and industry requirements. The skills you acquire are directly applicable in:
- Consultancy & Analytics: Driving data-informed decisions in firms like KPMG, Deloitte, and PWC.
- Healthcare Industry: Analyzing patient outcomes, service utilization, and market research.
- Research & Development: Conducting robust primary and secondary research for publications and projects.
- Policy & Governance: Evaluating government schemes and contributing to evidence-based policy making.
By the end of this 8-week journey with Prof. Pratap C. Mohanty, you will not only understand the intricacies of health survey data but will be equipped with the practical tools to analyze it, making you a valuable asset in any field that relies on data to understand and improve human health.
Enroll Now →