Bioinformatics Courses and Certifications

Finding Hidden Messages in DNA (Bioinformatics I)

18 reviews

Explore DNA's hidden messages using computational biology. Learn algorithms to identify replication origins and molecular clocks in bacterial genomes. Apply motif-finding software to real biological data.

• Coursera
• 16 hours
• On-Demand
• Free Online Course (Audit)

Whole genome sequencing of bacterial genomes - tools and applications

20 reviews

This course will cover the topic of Whole genome sequencing (WGS) of bacterial genomes which is becoming more and more relevant for the medical sector.

• Coursera
• 6 hours 21 minutes
• On-Demand
• Free Online Course (Audit)

• Best of All Time

DCO042 - Python For Informatics

14 reviews

Learn Python programming fundamentals and apply them to data analysis, web scraping, and database management for practical informatics applications.

• Independent
• On-Demand
• Free Online Course

Biology Meets Programming: Bioinformatics for Beginners

11 reviews

Learn Python programming through bioinformatics, solving real biological problems and implementing algorithms. Ideal for beginners interested in computational biology and DNA analysis.

• Coursera
• 19 hours
• On-Demand
• Free Online Course (Audit)

Python for Genomic Data Science

15 reviews

This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from Johns Hopkins University.

• Coursera
• 8-9 hours
• On-Demand
• Free Online Course (Audit)

STAT115 2020

4 reviews

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
• On-Demand
• Free Video

STAT115 2018

1 review

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
• On-Demand
• 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
• On-Demand
• Free Video

Stanford Seminar - When DNA Meets AI

2 reviews

Explore the intersection of DNA and AI, focusing on ALS research and drug development, with insights on neurodegeneration and career advice in biotech.

• YouTube
• 35 minutes
• On-Demand
• Free Online Course

Genome Sequencing (Bioinformatics II)

5 reviews

Explore genome sequencing and antibiotic analysis using graph theory and brute force algorithms. Learn to assemble genomes, sequence antibiotics, and apply bioinformatics tools to real-world pathogens.

• Coursera
• 17 hours
• On-Demand
• Free Online Course (Audit)

Bioinformatics Capstone: Big Data in Biology

28 ratings at Coursera

Explore BaseSpace platform for bioinformatics applications: genome assembly, RNA-Seq analysis, and sequencing comparisons. Optional: Build your own genome assembler for real-world data.

• Coursera
• 12 hours 55 minutes
• On-Demand
• Free Online Course (Audit)

Comparing Genes, Proteins, and Genomes (Bioinformatics III)

133 ratings at Coursera

Explore genome comparison techniques, from aligning genes to analyzing large-scale mutations. Learn dynamic programming and combinatorial algorithms to study species evolution and genome fragility.

• Coursera
• 22 hours
• On-Demand
• Free Online Course (Audit)

Genomic Data Science and Clustering (Bioinformatics V)

91 ratings at Coursera

Explore genomic data clustering techniques for gene expression analysis and human migration patterns. Learn algorithms for data point grouping and dimensionality reduction using principal components analysis.

• Coursera
• 9-10 hours
• On-Demand
• Free Online Course (Audit)

MIT Deep Learning in Life Sciences Spring 2020

1 review

Explore deep learning applications in genomics, from neural networks to single-cell analysis. Gain insights into regulatory genomics, epigenomics, and genetics through advanced computational techniques.

• YouTube
• 19 hours
• On-Demand
• Free Video

MIT CompBio Course Projects Fall 2019

Explore cutting-edge computational biology projects at MIT, covering topics like epigenetics, protein structures, gene expression, machine learning in cancer research, and more.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Video