Published on IndianResearchers.com
The School of Public Health, SRM Institute of Science and Technology (SRMIST) has announced a Four-Day Online Faculty Development Programme (FDP) titled “Hands-on Training on Data Wrangling and Visualization using R.” The programme is designed to help researchers, academicians, students, and professionals strengthen their practical skills in R programming, data wrangling, and publication-quality data visualization.
Scheduled across four Saturdays—8 August, 22 August, 29 August, and 5 September 2026—the online workshop combines conceptual learning with practical exercises to help participants build efficient and reproducible data analysis workflows.
Why This FDP Matters
Research today relies heavily on clean, well-organized data and clear visual communication of results. This Faculty Development Programme focuses on equipping participants with practical skills for handling research datasets, transforming data efficiently, and producing publication-ready visualizations using R.
Whether you are preparing research manuscripts, conducting statistical analysis, or managing large datasets, the programme offers hands-on experience with widely used R packages and workflows.
Programme Highlights
- Programme: Hands-on Training on Data Wrangling and Visualization using R
- Type: Four-Day Online Faculty Development Programme (FDP)
- Workshop Series: Technical Series Workshop – II (2026)
- Mode: Online
- Time: 9:00 AM – 1:00 PM (IST)
- Registration Fee: ₹500
- Certificate: E-Certificate for participants attending all sessions
Workshop Schedule
Day 1 – 8 August 2026
- Installation of R and RStudio
- Introduction to R Programming
- Data Types and Data Structures
- Importing Data
Day 2 – 22 August 2026
- Creating publication-quality visualizations using ggplot2
Day 3 – 29 August 2026
- Data cleaning and transformation using dplyr
Day 4 – 5 September 2026
- Advanced data wrangling using tidyr
- Data joins and reshaping
- End-to-end data manipulation workflows
What Participants Will Learn
Participants will gain practical experience in:
- Setting up R and RStudio
- Understanding R programming fundamentals
- Importing and managing datasets
- Cleaning and transforming data
- Creating publication-quality charts with ggplot2
- Using dplyr for efficient data manipulation
- Performing advanced data wrangling with tidyr
- Building reproducible workflows for research projects
Who Should Attend?
This programme is suitable for:
- Faculty Members
- Research Scholars
- PhD Scholars
- Postgraduate Students
- Public Health Professionals
- Biostatisticians
- Data Analysts
- Researchers working with R
- Anyone interested in learning research data analysis and visualization
Resource Persons
The sessions will be conducted by experienced faculty members from the School of Public Health, SRM Institute of Science and Technology:
- Dr. Dhivya K, Assistant Professor
- Dr. Prakash M, Associate Professor
- Dr. Suman Kanougiya, Associate Professor
About the School of Public Health, SRMIST
Established in 2007, the School of Public Health at SRM Institute of Science and Technology offers academic programmes including:
- Master of Public Health (MPH)
- M.Sc. Health Data Science
- M.Sc. Biostatistics & Epidemiology
- Integrated MPH
- Doctoral (PhD) programmes
The School emphasizes research excellence, interdisciplinary learning, and practical skill development to prepare graduates for careers in public health, academia, and research.
Registration
- Registration Fee: ₹500
- Mode: Online
- Certification: E-Certificate for participants attending all sessions
Registration Link
https://forms.gle/18qByreZphtFbw9C9
Contact Information
Dr. Dhivya K
- Phone: +91 98412 37952
- Email: dhivyak@srmist.edu.in
Dr. Suman Kanougiya
- Phone: +91 99205 77638
- Email: sumank1@srmist.edu.in
Read More
For complete programme details and registration