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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

    • I

      Icahn School of Medicine at Mount Sinai

      Systems Biology and Biotechnology

      Skills you'll gain: Matlab, Bioinformatics, Quantitative Research, Unsupervised Learning, Data Synthesis, Mathematical Modeling, Molecular Biology, Data Analysis, Pharmacology, Science and Research, Network Analysis, Analytical Skills, Scientific Methods, Differential Equations, Computational Logic, Experimentation, Biochemistry, Laboratory Experience, Analysis, Biology

      4.4
      Rating, 4.4 out of 5 stars
      ·
      973 reviews

      Intermediate · Specialization · 3 - 6 Months

    • F

      Fred Hutchinson Cancer Center

      Researcher's Guide to Omic Data

      Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Research Design, Exploratory Data Analysis, Metadata Management, Experimentation, Science and Research, R Programming, Scientific Methods, Spatial Analysis, Data Collection, Data Quality, Data Validation, Quantitative Research, Biology, Qualitative Research, Analysis

      3.8
      Rating, 3.8 out of 5 stars
      ·
      22 reviews

      Intermediate · Specialization · 3 - 6 Months

    • 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

    • 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, Health Information Management, Data Cleansing, Taxonomy

      4.5
      Rating, 4.5 out of 5 stars
      ·
      265 reviews

      Intermediate · 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

    • 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

    • 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 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: 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

    • 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

    • 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

    Searches related to bioinformatics

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    1234…11

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

    • Systems Biology and Biotechnology: Icahn School of Medicine at Mount Sinai
    • Researcher's Guide to Omic Data: Fred Hutchinson Cancer Center
    • Antimicrobial resistance - theory and methods: Technical University of Denmark (DTU)
    • Health Information Literacy for Data Analytics: University of California, Davis
    • Introduction to Genomic Technologies: Johns Hopkins University
    • The Data Science of Health Informatics: Johns Hopkins University
    • Biomedical Visualisation: University of Glasgow
    • Bioinformatic Methods II: University of Toronto
    • AI for Energy and Biomedical Applications: University of Michigan
    • Computing for Cancer 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

    Bioinformatics courses on Coursera cover a wide array of essential skills including:

    • Fundamentals of bioinformatics and computational biology
    • Genomics and the analysis of high-throughput sequencing data
    • Protein structure analysis and molecular modeling
    • Data mining techniques for biological datasets
    • Statistical methods to analyze biological data and draw conclusions
    • Python and R programming for bioinformatics
    • Use of software tools and databases like BLAST, BioPython, and UCSC Genome Browser
    • Ethical, legal, and social implications of genomic research‎

    No prior experience in biology or computer science is required to start beginner bioinformatics courses. The curriculum is designed to be accessible to learners from various backgrounds:

    • Beginners can start with basic concepts of molecular biology and simple computational techniques.
    • Intermediate learners can progress to more advanced data analysis and genomic sequencing projects.
    • Advanced professionals can focus on complex computational models and their applications in real-world scenarios.‎

    Bioinformatics courses on Coursera provide a variety of credential options:

    • Professional certificates that demonstrate a comprehensive understanding of bioinformatics
    • Specialized course certificates in areas such as genomics, proteomics, or systems biology
    • Certifications from leading institutions and researchers in the field
    • These credentials can enhance your professional profile and can help demonstrate professional credibility for careers in academia, healthcare, and biotechnology industries.‎

    Skills in bioinformatics can open doors to a range of roles in research, healthcare, and industry, including:

    • Bioinformatics Analyst
    • Geneticist
    • Clinical Researcher
    • Pharmaceutical Research Scientist
    • Data Scientist specializing in biotech
    • Professionals in these roles use their bioinformatics skills to analyze biological data, develop new drugs, study genetic diseases, and contribute to personalized medicine.‎

    Yes, Coursera offers a variety of free courses across many topics, including bioinformatics. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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