Data Visualization & Scientific Plotting in R & Python — Hands-on

Tell compelling data stories with solid statistical visuals. This hands-on module covers the grammar of graphics, effective chart selection, color theory & accessibility, advanced faceting/annotations, interactive dashboards, and reproducible style guides for journals and stakeholders. Build templates that make complex omics/clinical data easy to understand.

Data Visualization & Scientific Plotting in R & Python

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Session Index

Session 1 — Principles, Grammar of Graphics & EDA Session 2 — R: ggplot2, Plotly & Shiny Basics Session 3 — Python: Matplotlib, Plotly, Altair/Bokeh Session 4 — Mini Capstone: Pub-Ready Figures & Dashboard

Session 1

Fee: Rs 16,800

Principles, Grammar of Graphics & EDA

Chart design principles & pitfalls

chart junk vs signal color & accessibility small multiples

Grammar of Graphics for science

aesthetics/layers/scales facets/themes stat layers

EDA patterns for omics & clinical

distribution & outliers correlations & PCA/UMAP missingness maps

Session 2

Fee: Rs 22,400

R: ggplot2, Plotly & Shiny Basics

Publication plots with ggplot2

themes/scales patchwork/cowplot stat annotations

Interactive with Plotly & Shiny

hover/brush/filter reactive flows shinydashboard

Export & style guides

SVG/PDF/PNG journal specs QC checklists

Session 3

Fee: Rs 28,200

Python: Matplotlib, Plotly, Altair/Bokeh

Matplotlib for precise control

figure axes API layout/gridspec typography

Interactive & declarative plotting

Plotly (dashboards) Altair grammar Bokeh server

Pipelines & templates

style sheets figure factories testable plots

Session 4

Fee: Rs 35,000

Mini Capstone: Pub-Ready Figures & Dashboard

Create a figure panel set (R or Python) for a study

Theory + Practical

Ship an interactive EDA dashboard

Shiny/Dash filters/linked brushing role-based views

Deliverables: SVG/PDF set & dashboard URL

style guide repro code QC checklist

PDF

Data Visualization & Scientific Plotting in R & Python Training | ggplot2, Matplotlib, Plotly, Altair

Data Visualization & Scientific Plotting in R & Python — Hands-on