Biostatistics, Data Mining & Predictive Modeling — Hands-on

Master the statistical foundations and end-to-end predictive modeling workflows used in modern biomedical research. From experimental design and inference to feature engineering and supervised learning, you will implement reproducible analyses in R and Python with publication-ready reporting.

Biostatistics, Data Mining & Predictive Modeling

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Session Index

Session 1 — Study Design & Statistical Foundations Session 2 — Hypothesis Testing & Effect Sizes Session 3 — Predictive Modeling & Model Selection Session 4 — Mini Capstone: End-to-End Analysis

Session 1

Fee: Rs 8800

Study Design & Statistical Foundations

Experimental design & data generating processes

RCT / cohort / case-control bias & confounding power & sample size

Data quality, cleaning, and EDA

missingness (MCAR/MAR/MNAR) outliers transformations

Toolchain

R / tidyverse Python / pandas Jupyter / Quarto

Session 2

Fee: Rs 11800

Hypothesis Testing & Effect Sizes

Parametric & non-parametric tests

t-tests / ANOVA / ANCOVA Chi-square / Fisher Mann-Whitney / Kruskal-Wallis

Multiple testing & reproducibility

FDR / BH effect size CIs & power curves

Regression foundations

linear / logistic Poisson / NB assumption checks

Session 3

Fee: Rs 14800

Predictive Modeling & Model Selection

Pipeline building & resampling

train/validate/test k-fold CV / stratification nested CV

Algorithms & regularization

Lasso / Ridge / Elastic Net Random Forest / XGBoost SVM / k-NN

Metrics & calibration

ROC-AUC / PR-AUC balanced accuracy / F1 Brier / calibration curves

Session 4

Fee: Rs 18800

Mini Capstone: End-to-End Analysis

Problem framing, feature engineering, and model comparison

Theory + Practical

Reproducible report with code & results

Quarto / R Markdown Jupyter + nbconvert model cards

Deliverables: notebook, report, data dictionary & environment file

PDF/HTML CSV/TSV environment.yml/requirements.txt

PDF

Biostatistics, Data Mining & Predictive Modeling Training | Study Design, Hypothesis Testing, ML Pipelines

Biostatistics, Data Mining & Predictive Modeling — Hands-on