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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

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      Bioinformatic Methods II

      Skills you'll gain: Bioinformatics, Molecular Biology, Network Analysis, Data Analysis, Big Data, Data Visualization Software, Scientific Visualization, Structural Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      486 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Statistics for Genomic Data Science

      Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistical Modeling, R Programming, Probability & Statistics, Statistical Inference, Regression Analysis, Data Pipelines, Data Transformation, Data Processing

      4.2
      Rating, 4.2 out of 5 stars
      ·
      373 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Comparing Genes, Proteins, and Genomes (Bioinformatics III)

      Skills you'll gain: Bioinformatics, Molecular Biology, Algorithms, Computational Thinking, Computer Programming Tools, Biology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      136 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      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

    • Status: New
      New
      Status: Free Trial
      Free Trial
      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
      Rating, 4 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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

    • 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
      ·
      503 reviews

      Intermediate · Course · 1 - 4 Weeks

    • T

      Technical University of Denmark (DTU)

      Antimicrobial resistance - theory and methods

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

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

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      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 Trial
      Free Trial
      U

      University of Toronto

      Plant Bioinformatics

      Skills you'll gain: Bioinformatics, Network Analysis, Data Visualization Software, Data Analysis, Data Mining, Interactive Data Visualization, Databases

      4.8
      Rating, 4.8 out of 5 stars
      ·
      247 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Engineering Genetic Circuits: Design

      Skills you'll gain: Molecular Biology, Electrical Engineering, Chemical and Biomedical Engineering, Engineering Design Process, Systems Design, Bioinformatics, Biochemistry, Research Design, Biology, Computational Logic, Experimentation, Laboratory Experience, Technical Standard

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      The Outcomes and Interventions of Health Informatics

      Skills you'll gain: Health Informatics, Decision Support Systems, Solution Design, Health Technology, Health Care, Clinical Data Management, Health Information Management, Usability Testing, Requirements Elicitation, Electronic Medical Record, Data Collection, User Centered Design

      4.5
      Rating, 4.5 out of 5 stars
      ·
      101 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to bioinformatics

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    1…456…12

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

    • Bioinformatic Methods II: University of Toronto
    • Statistics for Genomic Data Science: Johns Hopkins University
    • Comparing Genes, Proteins, and Genomes (Bioinformatics III): University of California San Diego
    • Molecular Evolution (Bioinformatics IV): University of California San Diego
    • AI for Energy and Biomedical Applications: University of Michigan
    • Data Science in Stratified Healthcare and Precision Medicine: The University of Edinburgh
    • Biomedical Visualisation: University of Glasgow
    • Antimicrobial resistance - theory and methods: Technical University of Denmark (DTU)
    • Genomic Data Science and Clustering (Bioinformatics V): University of California San Diego
    • Plant Bioinformatics: University of Toronto

    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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