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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 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
      Free
      D

      Duke University

      Introduction to Genetics and Evolution

      Skills you'll gain: Life Sciences, Molecular Biology, Biology, Biostatistics, Bioinformatics, Environment, Laboratory Research, Taxonomy, Scientific Methods, Experimentation, Mathematical Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Mixed · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Health Informatics

      Skills you'll gain: Health Informatics, Health Technology, Change Management, Vendor Management, Health Policy, Health Care, Process Improvement, Workflow Management, Health Care Administration, Healthcare Industry Knowledge, Health Information Management, Clinical Leadership, Organizational Change, Decision Support Systems, Solution Design, IT Management, Clinical Data Management, Health Systems, Project Management, Databases

      4.4
      Rating, 4.4 out of 5 stars
      ·
      891 reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Introduction to Genomic Technologies

      Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Data Analysis, Programming Principles, Computer Science, Statistical Analysis, Computational Thinking, Big Data, Software Engineering, Algorithms, Biology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.7K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      Health Information Literacy for Data Analytics

      Skills you'll gain: Data Governance, Data Quality, Data Integration, Data Dictionary, Data Validation, Health Informatics, Data Modeling, Extract, Transform, Load, Health Systems, Data Management, Metadata Management, Data Compilation, Health Care, Analytics, Data Mapping, Healthcare Industry Knowledge, Data Analysis, Data Cleansing, Health Information Management, Taxonomy

      4.5
      Rating, 4.5 out of 5 stars
      ·
      265 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      University of Manchester

      Industrial Biotechnology

      Skills you'll gain: Process Engineering, Molecular Biology, Chemical Engineering, Life Sciences, Biochemistry, Bioinformatics, Biology, Pharmaceuticals, Environmental Engineering, Manufacturing Processes, Process Development, Microbiology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      S

      Stanford University

      RNA Biology with Eterna

      Skills you'll gain: Molecular Biology, Bioinformatics, Biochemistry, Chemical and Biomedical Engineering, Biology, Medical Science and Research, Chemistry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      115 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Computing for Cancer Informatics

      Skills you'll gain: Computer Systems, Data Processing, Computing Platforms, Health Informatics, Bioinformatics, Data Storage, Computer Architecture, Big Data, Capacity Management, Data Infrastructure, Cloud Computing, Oncology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 3 Months

    • 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
      ·
      372 reviews

      Mixed · Course · 1 - 4 Weeks

    • 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

    • 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

    • J

      Johns Hopkins University

      Algorithms for DNA Sequencing

      Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Data Structures, Python Programming, Data Analysis, Algorithms, Life Sciences

      4.7
      Rating, 4.7 out of 5 stars
      ·
      921 reviews

      Mixed · Course · 1 - 4 Weeks

    Searches related to bioinformatics

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    1234…12

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

    • Bioinformatic Methods II: University of Toronto
    • Introduction to Genetics and Evolution: Duke University
    • Health Informatics: Johns Hopkins University
    • Introduction to Genomic Technologies: Johns Hopkins University
    • Health Information Literacy for Data Analytics: University of California, Davis
    • Industrial Biotechnology: University of Manchester
    • RNA Biology with Eterna: Stanford University
    • Computing for Cancer Informatics: Johns Hopkins University
    • Statistics for Genomic Data Science: Johns Hopkins University
    • 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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