Free Download Learn Bioinformatics & Data Visualization for Research
Published 8/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 55m | Size: 2.33 GB
Learn Bioinformatics with Zero Coding: From Data Visualization to RNA-Seq Using Web-Based Tools
What you'll learn
Perform RNA-seq analysis (DEGs, clustering, GO/KEGG) using point-and-click tools
Create stunning biological data visualizations: heatmaps, volcano plots, network graphs
Convert large data tables into beautiful, publication-ready visuals
Interpret your data with confidence - even if you've never coded before
Introduction to Web-based statistics and data visualization tools
Requirements
No Programming experience is needed. Basic Genetics, Bioinformatics, and Biotechnology knowledge is required.
Description
Are you a student or researcher in biology, biotechnology, agriculture, medicine, or life sciences who struggles with data analysis due to limited coding experience? You're not alone-and you don't need to become a data scientist to publish quality research.I'm Dr. Asif Ali, a molecular biologist, educator, and the creator of Dr. Asif's Molecular Biology. After completing my PhD and two postdoctoral fellowships in genomics and biotechnology, I spent years learning tools like Linux, R, and Python. Eventually, I realized that many researchers simply need a faster, simpler way to analyze and visualize their data-without getting overwhelmed by programming.That's why I created this course. It's the shortcut I wish I had when I started. This course is specifically designed for students and researchers who want to generate professional-quality bioinformatics results using only web-based platforms-no software installation, no command lines, and no prior coding required.Throughout this course, you'll learn how to use more than 20 freely available online tools to perform real-world biological data analysis. You'll be able to create high-quality heatmaps, volcano plots, bar graphs, boxplots, and other visualizations essential for your research. We'll walk through key workflows like RNA-seq analysis, WGCNA, GWAS, phylogenetic trees, and gene expression studies-all using intuitive, drag-and-drop interfaces.You'll also gain the confidence to interpret your outputs correctly for your thesis or manuscript. By the end, you'll be equipped to craft clean, scientifically sound figures for publications, scholarship applications, or grant proposals-without spending months learning R, Python, or Linux environments.This course is ideal for students and researchers from biology-related fields who need practical results without programming. It is also helpful for professors seeking simple tools to enhance their teaching, and for anyone who wants to carry out complex biological analyses in a user-friendly way.If you're ready to save time, reduce frustration, and take your research presentation to the next level-this course is for you.
Who this course is for
Undergraduate & graduate students in biology, Life sciences, and biotechnology
Wet-lab researchers wanting to analyze their data without programming
Early-career scientists writing their first RNA-seq paper
Anyone who wants to learn biological data analysis the easy way
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