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Learn Bioinformatics with paid and free online courses and MOOCs from Technical University of Denmark (DTU), University of California, San Diego , University of Michigan, Johns Hopkins University and other top universities and instructors around the world. Read reviews to decide if a class is right for you.
Course Name | Start Date | Rating | |
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AD | Introduction to Agent-Based Modeling via Complexity Explorer | Flexible |
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Whole genome sequencing of bacterial genomes - tools and applications
Coursera
2-3 hours a week
, 5 weeks long
2-3 hours a week
, 5 weeks long
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Finding Hidden Messages in DNA (Bioinformatics I)
Coursera
4-10 hours a week
, 5 weeks long
4-10 hours a week
, 5 weeks long
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DCO042 - Python For Informatics | ||
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Biology Meets Programming: Bioinformatics for Beginners
Coursera
8-12 hours a week
, 4 weeks long
8-12 hours a week
, 4 weeks long
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Get an email when new courses are available
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Python for Genomic Data Science
Coursera
3-5 hours a week
, 4 weeks long
3-5 hours a week
, 4 weeks long
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Введение в биоинформатику (Introduction to Bioinformatics)
Coursera
2-4 hours a week
, 7 weeks long
2-4 hours a week
, 7 weeks long
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Reverse and complement nucleic acid sequences (DNA, RNA) using Python
Coursera
2 hours a week
, 1 weeks long
2 hours a week
, 1 weeks long
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Cómputo evolutivo
Coursera
20 hours worth of material
, 4 weeks long
20 hours worth of material
, 4 weeks long
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Plant Bioinformatics
Coursera
17 hours worth of material
, 8 weeks long
17 hours worth of material
, 8 weeks long
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Genomic Data Science and Clustering (Bioinformatics V)
Coursera
4-10 hours a week
, 3 weeks long
4-10 hours a week
, 3 weeks long
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AD | Machine Learning Certificate via eCornell | Flexible |
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BioInformatics: Algorithms and Applications
Swayam
12 weeks long
12 weeks long
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Doing Clinical Research: Biostatistics with the Wolfram Language
Coursera
5 hours a week
, 4 weeks long
5 hours a week
, 4 weeks long
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Plant Bioinformatics Capstone
Coursera
6 hours a week
, 5 weeks long
6 hours a week
, 5 weeks long
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Reverse and complement nucleic acid sequences (DNA, RNA) using R
Coursera
1 hours a week
, 1 weeks long
1 hours a week
, 1 weeks long
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Identifying Patient Populations
Coursera
2-4 hours a week
, 5 weeks long
2-4 hours a week
, 5 weeks long
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Введение в Биоинформатику: Метагеномика (Introduction to Bioinformatics: Metagenomics)
Coursera
8 hours worth of material
, 7 weeks long
8 hours worth of material
, 7 weeks long
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生物信息学: 导论与方法
Coursera
26 hours worth of material
, 14 weeks long
26 hours worth of material
, 14 weeks long
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Bioinformatics: Introduction and Methods 生物信息学: 导论与方法
Coursera
2-3 hours a week
, 14 weeks long
2-3 hours a week
, 14 weeks long
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Bacterial Bioinformatics
Coursera
14 hours worth of material
, 8 weeks long
14 hours worth of material
, 8 weeks long
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Genome Sequencing (Bioinformatics II)
Coursera
4-10 hours a week
, 5 weeks long
4-10 hours a week
, 5 weeks long
/ /
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Comparing Genes, Proteins, and Genomes (Bioinformatics III)
Coursera
4-10 hours a week
, 6 weeks long
4-10 hours a week
, 6 weeks long
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AD | Communicating for Influence and Impact. 8-Weeks. Online via GetSmarter | Flexible |
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Molecular Evolution (Bioinformatics IV)
Coursera
4-10 hours a week
, 6 weeks long
4-10 hours a week
, 6 weeks long
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Finding Mutations in DNA and Proteins (Bioinformatics VI)
Coursera
4-10 hours a week
, 6 weeks long
4-10 hours a week
, 6 weeks long
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Quantitative Biology Workshop
edX
4-8 hours a week
, 9 weeks long
4-8 hours a week
, 9 weeks long
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openHPI
6 weeks long
6 weeks long
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Introduction to Genomic Data Science
edX
4-10 hours a week
4-10 hours a week
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Биотехнологии: генная инженерия
Stepik
15 hours worth of material
15 hours worth of material
/
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Введение в NGS. Часть 1
Stepik
41 hours worth of material
41 hours worth of material
/
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Молекулярная филогенетика
Stepik
/
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Dynamic Programming: Applications In Machine Learning and Genomics
edX
8-10 hours a week
, 4 weeks long
8-10 hours a week
, 4 weeks long
/
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Graph Algorithms in Genome Sequencing
edX
8-10 hours a week
, 3 weeks long
8-10 hours a week
, 3 weeks long
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Algorithms and Data Structures Capstone
edX
8-10 hours a week
, 4 weeks long
8-10 hours a week
, 4 weeks long
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AD | Product Management Certificate via eCornell | Flexible |
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Introduction to Statistical Methods for Gene Mapping
edX
2-3 hours a week
, 4 weeks long
2-3 hours a week
, 4 weeks long
/ /
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DNA Sequences: Alignments and Analysis
edX
8-10 hours a week
, 8 weeks long
8-10 hours a week
, 8 weeks long
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Proteins: Alignment, Analysis and Structure
edX
8-10 hours a week
, 8 weeks long
8-10 hours a week
, 8 weeks long
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Statistical Analysis in Bioinformatics
edX
8-10 hours a week
, 8 weeks long
8-10 hours a week
, 8 weeks long
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Bioinformatics
Coursera
Specialization
4 hours a week
, 39 weeks long
4 hours a week
, 39 weeks long
/
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Bioinformatics
edX
Micromasters
8-10 hours a week
, 24 weeks long
8-10 hours a week
, 24 weeks long
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Plant Bioinformatic Methods
Coursera
Specialization
2 hours a week
, 35 weeks long
2 hours a week
, 35 weeks long
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Bioinformatics Capstone: Big Data in Biology
Coursera
3-4 hours a week
, 3 weeks long
3-4 hours a week
, 3 weeks long
/
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Big Data Analytics in Healthcare
edX
8-10 hours a week
, 14 weeks long
8-10 hours a week
, 14 weeks long
/
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FUNDAMENTALS OF BIOINFORMATICS
Swayam
/ /
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Chimiometrie, chapitre 1/2: les méthodes non supervisées
France Université Numerique
6 hours a week
, 5 weeks long
6 hours a week
, 5 weeks long
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AD |
University of Oxford, Said Business School Women's Leadership Development. 6 weeks. Online. via GetSmarter |
Flexible |
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Molecular Dynamics for Computational Discoveries in Science
Independent
12 weeks long
12 weeks long
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Bioinformatics: Life Sciences on Your Computer
Coursera
4-8 hours a week
, 5 weeks long
4-8 hours a week
, 5 weeks long
/ /
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Bioinformatics Algorithms (Part 2)
Coursera
8-12 hours a week
, 10 weeks long
8-12 hours a week
, 10 weeks long
/ /
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Optimisation Stochastique Évolutionnaire
France Université Numerique
4 hours a week
, 8 weeks long
4 hours a week
, 8 weeks long
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Biology Meets Programming: Bioinformatics for Beginners
Coursera
6-10 hours a week
, 8 weeks long
6-10 hours a week
, 8 weeks long
/ /
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Interactomics
Swayam
8 weeks long
8 weeks long
/ /
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