Biostatistics Data Visualization With Zero Coding

Biostatistics Data Visualization for Biomedical, Agricultural & Biological Research — No Coding Needed

What you'll learn

Identify the most effective graph types for different datasets.

Use web-based tools to create high-quality graphs without coding.

Introduction to multiple online webtools used for data visualizations

Customize figure design for scientific publications.

Requirements

No prior coding experience is required — the course is designed for beginners

Access to a computer with an internet connection to use web-based tools.

Description

In this course i have introduced multiple web-based tools used for data visualization, each chosen for its ability to create professional, publication-ready figures without coding. In research, the quality of your data visualization can define the impact of your work. Whether you’re in biomedical engineering, agriculture, or biology, creating clear, accurate, and visually appealing graphs is essential for theses, manuscripts, grant proposals, and presentations.This course is designed to eliminate the biggest challenge researchers face — coding barriers. While tools like R and Python are powerful, they require weeks or months to learn. Here, you’ll learn to use various online platforms for generating publication-quality visualizations quickly and efficiently, allowing you to focus more on your research instead of programming syntax.Through step-by-step demonstrations, you will:Create bar charts, boxplots, scatter plots, correlation matrices, survival curves, and heatmaps.Graphs used in advanced analyses of Transcriptomics, metabolomics and proteomics.Customize visual elements for publication requirements.Interpret results accurately to avoid misleading conclusions.Apply these figures effectively in your research, thesis, and publications.By the end of this course, you’ll have the skills and confidence to transform your raw data into visually compelling, scientifically accurate figures that enhance the clarity and impact of your research.

Overview

Section 1: Introduction to Chiplot- A web based tool for data visualization

Lecture 1 Introduction to Chi Plot ( a Web-based tool for data visualization)

Lecture 2 How to draw colorful phylogenetic trees?

Lecture 3 How to draw circular gene ontology?

Lecture 4 How to draw a Saneky Plot?

Section 2: Introduction to a SR plot web-based tool

Lecture 5 Introduction ot SR plot

Lecture 6 How to draw heatmap with zero coding?

Lecture 7 How to perform Gene Enrichment analysis with SR plot

Lecture 8 How to create ballon chart?

Lecture 9 How to create box plot with jitters

Lecture 10 How to draw Violin plot with statistics

Lecture 11 How to draw a correlation plot?

Lecture 12 How to performe GO (Gene enrichment) analysis with all folders

Lecture 13 How to draw a KEGG pathway Summary?

Lecture 14 How to draw a PCA plot?

Lecture 15 How to draw a GO chord plot?

Lecture 16 How to draw a circos plot?

Lecture 17 How to draw an alluvial plot?

Section 3: Introduction to RNA seq web based data tools

Lecture 18 Introduction to iDEP

Lecture 19 Introduction to GO shiny tool

Lecture 20 How to perform WGCNA?

Section 4: Introduction to latest released web based tools

Lecture 21 Introduction to Rawgraphs tool

Lecture 22 Introduction to Hiplot

Lecture 23 Introduction to NewMer web based tool

Students and researchers in biomedical engineering, agriculture, and biology.,Early-career scientists preparing thesis, dissertations, and manuscripts.,Anyone with research data who needs professional graphs without coding.,Professionals looking to quickly learn modern, web-based visualization tools.