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    • Bioinformatics

    Bioinformatics Courses

    Bioinformatics courses can help you learn how to analyze biological data using computational tools to support research in genomics, medicine, and biotechnology.

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    Find the Best Bioinformatics Course for Your Goals

    • U

      University of California San Diego

      Genome Sequencing (Bioinformatics II)

      Skills you'll gain: Bioinformatics, Graph Theory, Molecular Biology, Microbiology, Pharmacology, Infectious Diseases, Computational Thinking, Applied Mathematics, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      318 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Glasgow

      Biomedical Visualisation

      Skills you'll gain: Visualization (Computer Graphics), Medical Terminology, Augmented and Virtual Reality (AR/VR), Anatomy, Computer Graphics, Virtual Reality, Animations, Image Analysis, Biology, Medical Imaging, Augmented Reality

      4.6
      Rating, 4.6 out of 5 stars
      ·
      501 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Genomic Data Science and Clustering (Bioinformatics V)

      Skills you'll gain: Bioinformatics, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Molecular Biology, Data Mining, Machine Learning, Data Analysis Software, Life Sciences, Algorithms, Exploratory Data Analysis, Probability & Statistics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      92 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Peking University

      生物信息学: 导论与方法

      Skills you'll gain: Bioinformatics, Markov Model, Life Sciences, Molecular Biology, Big Data, Data Mining, Machine Learning Methods, Data Analysis Software, Algorithms, Statistical Methods, Database Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      189 reviews

      Mixed · Course · 3 - 6 Months

    • Status: Free
      Free
      T

      The University of Edinburgh

      Data Science in Stratified Healthcare and Precision Medicine

      Skills you'll gain: Precision Medicine, Bioinformatics, Image Analysis, Medical Imaging, Big Data, Health Informatics, Statistical Methods, Data Science, Machine Learning, Natural Language Processing, Probability & Statistics, Data Analysis, Molecular Biology, Network Analysis, Graph Theory, Healthcare Ethics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      334 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of Michigan

      AI for Energy and Biomedical Applications

      Skills you'll gain: Precision Medicine, Energy and Utilities, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Medical Imaging, Artificial Intelligence, Electric Power Systems, Bioinformatics, Deep Learning, Applied Machine Learning, Predictive Modeling, Health Informatics, Anomaly Detection, Machine Learning Algorithms, Predictive Analytics, Pharmacology

      4.3
      Rating, 4.3 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Cape Town

      Doing Clinical Research: Biostatistics with the Wolfram Language

      Skills you'll gain: Descriptive Statistics, Data Literacy, Exploratory Data Analysis, Plot (Graphics), Statistical Analysis, Statistical Visualization, Statistical Programming, Biostatistics, Statistical Hypothesis Testing, Quantitative Research, Probability & Statistics, Deep Learning, Data Manipulation, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Molecular Evolution (Bioinformatics IV)

      Skills you'll gain: Bioinformatics, Statistical Analysis, Molecular Biology, Graph Theory, Taxonomy, Tree Maps, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      79 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Icahn School of Medicine at Mount Sinai

      Introduction to Systems Biology

      Skills you'll gain: Molecular Biology, Pharmacology, Biochemistry, Network Analysis, Biology, Systems Engineering, Bioinformatics, Mathematical Modeling, Systems Analysis, Simulation and Simulation Software, Differential Equations, Statistical Modeling

      4.3
      Rating, 4.3 out of 5 stars
      ·
      570 reviews

      Mixed · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      The Data Science of Health Informatics

      Skills you'll gain: Health Informatics, Health Care, Health Information Management, Databases, Healthcare Industry Knowledge, Clinical Data Management, Electronic Medical Record, Data Mining, Data Analysis, Data Quality, Interoperability, Big Data, Query Languages, Data Integration

      4.6
      Rating, 4.6 out of 5 stars
      ·
      214 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Bioconductor for Genomic Data Science

      Skills you'll gain: Bioinformatics, Data Analysis Software, R Programming, Statistical Programming, Programming Principles, Data Manipulation, Data Structures, Software Installation, Data Import/Export, Package and Software Management

      3.8
      Rating, 3.8 out of 5 stars
      ·
      382 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      Technical University of Denmark (DTU)

      Antimicrobial resistance - theory and methods

      Skills you'll gain: Laboratory Testing, Quality Assurance, Microbiology, Infectious Diseases, Bioinformatics, Medical Laboratory, Clinical Laboratory Science, Epidemiology, Public Health and Disease Prevention, Data Quality, Medical Science and Research, Biology, Public Health, Pharmacology, Molecular Biology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to bioinformatics

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    1…456…12

    In summary, here are 10 of our most popular bioinformatics courses

    • Genome Sequencing (Bioinformatics II): University of California San Diego
    • Biomedical Visualisation: University of Glasgow
    • Genomic Data Science and Clustering (Bioinformatics V): University of California San Diego
    • 生物信息学: 导论与方法: Peking University
    • Data Science in Stratified Healthcare and Precision Medicine: The University of Edinburgh
    • AI for Energy and Biomedical Applications: University of Michigan
    • Doing Clinical Research: Biostatistics with the Wolfram Language: University of Cape Town
    • Molecular Evolution (Bioinformatics IV): University of California San Diego
    • Introduction to Systems Biology: Icahn School of Medicine at Mount Sinai
    • The Data Science of Health Informatics: Johns Hopkins University

    Why Learn Bioinformatics?

    Bioinformatics combines biology, computer science, and data analysis to interpret complex biological data—like genetic sequences and molecular structures. It's essential in fields such as genomics, drug discovery, and personalized medicine. Learning bioinformatics equips you to work at the intersection of science and technology, contributing to breakthroughs in health and life sciences.

    Frequently Asked Questions about Bioinformatics

    Top courses include the Bioinformatics Specialization from the University of California, San Diego and Genomic Data Science from Johns Hopkins University. These programs cover algorithms, DNA sequencing, data analysis, and tools like Python, R, and Bioconductor.‎

    Yes. Many bioinformatics courses offer a free audit option. You can access video lessons and readings at no cost. To earn a certificate or complete assessments, you’ll need to pay or apply for financial aid.‎

    You’ll learn how to analyze genomic and biological data, use bioinformatics tools and databases, and apply algorithms for DNA and RNA sequencing, gene expression, and evolutionary analysis. Some courses also teach programming and statistics for biological data.‎

    Some familiarity with biology or coding (especially in Python or R) is helpful, but not always required. Many introductory courses are designed to teach the fundamentals step by step, while more advanced courses assume prior experience in biology, computer science, or statistics.‎

    Yes. Bioinformatics is a rapidly growing field with roles in healthcare, research, biotechnology, and pharmaceuticals. Coursera courses can help you build technical and analytical skills, prepare for graduate studies, or qualify for roles in data science, genomics, and computational biology.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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