RNA Sequencing Courses and Certifications

Bioinformatic; Learn Bulk RNA-Seq Data Analysis From Scratch

692 ratings at Udemy

Bioinformatics course TO Learn RNA-Seq Data (NGS) Analysis From Zero through Linux and R for academia and industry

• Udemy
• 4 hours 57 minutes
• Self-Paced
• Paid Course

Differential Gene Expression Analysis - Your Complete A to Z

512 ratings at Udemy

Become a bioinformatic analysis master: qPCR, RNAseq, Functional Genomics, Transcriptomics, R, RStudio, TUXEDO pipeline

• Udemy
• 8 hours 41 minutes
• Self-Paced
• Paid Course

High Throughput Sequencing

Comprehensive playlist covering high-throughput sequencing analysis, including RNA-seq, ChIP-Seq, PCA, clustering, and statistical methods for bioinformatics and genomics research.

• YouTube
• 6 hours
• Self-Paced
• Free Video

Broad Institute

Introduction to Single-Cell RNA Sequencing Workflow - 2025

Dive into single-cell RNA sequencing workflows with expert guidance on fundamental concepts, analysis methods, and practical applications in medical and population genetics research.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

STAT115 2020

4 ratings

Comprehensive bioinformatics course covering sequencing technologies, RNA-seq analysis, clustering methods, single-cell genomics, epigenetics, GWAS, and cancer genomics. Emphasizes computational techniques and data analysis in modern biology.

• YouTube
• 1 day 5 hours
• Self-Paced
• Free Video

Bioinformatics for Biologists

Master hands-on bioinformatics skills including RNA-seq analysis, mathematical modeling, protein structure prediction, and drug interactions using R, Linux, and visualization tools.

• Swayam
• 8 weeks
• Self-Paced
• Free Online Course

IIT Kharagpur;  NPTEL

Next Generation Sequencing Technologies : Data Analysis and Applications

Comprehensive exploration of Next Generation Sequencing data analysis, covering genomics, transcriptomics, and epigenomics. Hands-on tutorials provide practical skills in mapping, SNP identification, and differential expression analysis.

• Swayam
• 12 weeks
• Self-Paced
• Free Online Course

StatQuest with Josh Starmer

Principal Component Analysis - PCA Clearly Explained - 2015

Clear explanation of Principal Component Analysis, covering dimensions, variance, loading scores, and key concepts for interpreting PCA plots in RNA-seq data analysis.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

STAT115 2018

1 rating

Comprehensive exploration of computational biology, covering microarrays, RNA-seq, ChIP-seq, epigenetics, GWAS, cancer genomics, and deep learning, with hands-on data analysis techniques.

• YouTube
• 1 day 5 hours
• Self-Paced
• Free Video

Introduction to Genomics

Comprehensive exploration of genomics, covering DNA sequencing, genome assembly, gene editing, epigenomics, RNA-seq, chromatin organization, interaction networks, and genetic variation analysis.

• YouTube
• 18 hours
• Self-Paced
• Free Video

STAT115

Comprehensive lecture series on statistical methods for analyzing genomic data, covering microarrays, RNA-seq, epigenetics, cancer genomics, and more. Focuses on practical applications in bioinformatics and computational biology.

• YouTube
• 1 day 1 hour
• Self-Paced
• Free Video

Bioinformagician

DESeq2 Basics Explained - Differential Gene Expression Analysis - Bioinformatics 101

1 rating

Comprehensive guide to DESeq2 for differential gene expression analysis in RNA-seq data, covering statistical models, normalization methods, and key steps in the analysis pipeline.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Bioinformagician

Setup RNA-Seq Pipeline From Scratch - Fastq to Counts - Step-by-Step Tutorial

Step-by-step tutorial on processing RNA-Seq data: quality control, trimming, alignment, and quantification. Covers tools like FastQC, Trimmomatic, HISAT2, and featureCounts, with comparisons of aligners and best practices.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Bioinformagician

How to Analyze Single-Cell RNA-Seq Data in R - Detailed Seurat Workflow Tutorial

Comprehensive tutorial on analyzing single-cell RNA-Seq data using Seurat in R, covering data processing, quality control, normalization, dimensionality reduction, and clustering for genomics research.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

StatQuest with Josh Starmer

EdgeR and DESeq2, Part 2 - Independent Filtering

Explore edgeR and DESeq2's approaches to filtering low-count genes in RNA-seq analysis. Learn about false positives, FDR, CPM, and sequencing depth impacts on gene expression studies.

• YouTube
• 21 minutes
• Self-Paced
• Free Video