Teaching & Open Courseware

Lecture notes, interactive Bookdown textbooks, R tutorial packages, and downloadable PDF courseware.

I teach graduate-level courses in statistical computing, data analysis, and research methodology at the Department of Applied Statistics and Data Science, MAHE. All course materials are freely available as interactive Bookdown web applications, downloadable PDF textbooks, and hands-on learnr tutorials executable within RStudio.

2 Complete Textbooks 7 MAHE Graduate Credits 117 Interactive R Modules CC BY-NC-SA 4.0 Open Access

Active Graduate Courses · Manipal Academy of Higher Education

📊 3 Credits · L-T-P: 2-0-1

Statistical Computing and Non-Parametric Inference using R

Department of Applied Statistics and Data Science · Prasanna School of Public Health, MAHE

Hands-on computing course covering the R environment, workspace management, descriptive statistics, resampling and bootstrap methods, contingency table analysis, and a comprehensive treatment of non-parametric statistical tests — all implemented in R.

Bookdown Notes PDF Textbook Syllabus R Tutorial Package Course Folder

117 Interactive learnr Tutorials Available

How to install & run the interactive tutorials in RStudio

Step 1 — Install the package directly from GitHub:

if (!requireNamespace("remotes", quietly = TRUE)) {
  install.packages("remotes")
}
remotes::install_github("kskbhat/scnpir")

Step 2 — Launch any interactive tutorial:

library(scnpir)

# Launch interactive units:
learnr::run_tutorial("unit1_r_basics", package = "scnpir")
learnr::run_tutorial("unit2_descriptive_stats", package = "scnpir")
learnr::run_tutorial("unit3_confidence_intervals", package = "scnpir")
learnr::run_tutorial("unit4_contingency_tables", package = "scnpir")
learnr::run_tutorial("unit5_nonparametric_tests", package = "scnpir")

💡 Or open the Tutorials tab in RStudio (top-right pane) and click Start Tutorial next to scnpir.

🧪 DDS 6106 · 4 Credits · L-T-P-C: 2-0-4-4

Statistical Research Methodology

Department of Applied Statistics and Data Science · Prasanna School of Public Health, MAHE

A rigorous graduate course on research design, Monte Carlo simulation, variance reduction techniques, Markov Chain Monte Carlo (MCMC) methods, and stochastic optimization — emphasizing both theoretical foundations and practical computation in R.

Bookdown Notes PDF Textbook R Package (srm) Syllabus

Advanced MCMC & Monte Carlo Simulations

Quick Download & Resource Directory

Course	Interactive Notes (HTML)	Complete PDF Textbook	Syllabus	Code / R Package Repository
Statistical Computing and Non-Parametric Inference using R (3 Credits)	📖 Bookdown Web Edition	📄 Download PDF	📑 View Syllabus	📦 R Package (kskbhat/scnpir)
Statistical Research Methodology (DDS 6106 · 4 Credits)	📖 Bookdown Web Edition	📄 Download PDF	📑 View Syllabus	📦 R Package (kskbhat/srm)

Open Access License & Usage Notice

All lecture notes, code examples, interactive tutorials, and PDF textbooks listed above are open educational resources licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). Students, educators, and researchers are welcome to share, reuse, and adapt these resources with proper attribution.