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    • Computational Biology

    Computational Biology Courses Online

    Explore computational biology for analyzing biological data. Learn to apply algorithms and models to study genomes, proteins, and biological systems.

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    Explore the Computational Biology Course Catalog

    • U

      University of Zurich

      Myocardial Infarction

      Skills you'll gain: Cardiology, Electocardiography, Chronic Diseases, Rehabilitation, Patient Evaluation, Anatomy, Preventative Care, Neurology, Internal Medicine, Medical Emergency, Blood Pressure, Vital Signs, Pharmacology, Biology, Behavior Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      448 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Toronto

      Learn to Program: Crafting Quality Code

      Skills you'll gain: Data Structures, Object Oriented Programming (OOP), Unit Testing, Python Programming, Algorithms, Test Case, Software Testing, Debugging, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      728 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Access Bioinformatics Databases with Biopython

      Skills you'll gain: Bioinformatics, Scientific Visualization, Data Access, Extensible Markup Language (XML), Data Visualization Software, Data Manipulation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      43 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of New Mexico

      Curanderismo: Traditional Healing Using Plants

      Skills you'll gain: Cultural Responsiveness, Cultural Diversity, Biology, Preventative Care, Health Care, Patient Education and Support, Health Assessment, Anatomy, Nutrition and Diet, Mental Health, Environmental Science, Stress Management, Scientific Methods

      4.7
      Rating, 4.7 out of 5 stars
      ·
      226 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Immunology: The Immune System and its Failures

      Skills you'll gain: Infectious Diseases, Oncology, Microbiology, Epidemiology, Molecular, Cellular, and Microbiology, Chronic Diseases, Public Health and Disease Prevention, Geriatrics, Public Health, Pulmonology, Environment, Pharmacotherapy, Biology, Patient Treatment, Precision Medicine, Treatment Planning, Medical Science and Research, Pathology, Molecular Biology, Pharmacology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      331 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Combinatorics and Probability

      Skills you'll gain: Combinatorics, Probability, Algorithms, Mathematical Modeling, Computational Thinking, Statistics, Game Theory, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      863 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Equivalent Circuit Cell Model Simulation

      Skills you'll gain: Simulations, Mathematical Modeling, Electrical Engineering, Electronic Systems, Power Electronics, Matlab, Electrical Systems, Engineering Calculations, Laboratory Testing, Computational Logic, Basic Electrical Systems, Applied Mathematics, Data Analysis Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      547 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      Novartis

      Drug Hunting: The Science of Making New Medicines

      Skills you'll gain: Drug Interaction, Clinical Trials, Pharmacology, Pharmaceuticals, Patient Safety, Clinical Research, Competitive Intelligence, Pharmacotherapy, Laboratory Research, Laboratory Testing, Biochemistry, Medical Science and Research, Safety Assurance, Chemistry, Medication Administration, Risk Analysis, Biology, Verification And Validation, Regulatory Compliance, Molecular Biology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      181 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Advanced Algorithms and Complexity

      Skills you'll gain: Algorithms, Network Routing, Network Model, Graph Theory, Operations Research, Theoretical Computer Science, Network Analysis, Data Structures, Computational Thinking, Linear Algebra, Computer Science, Big Data, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      694 reviews

      Advanced · Course · 1 - 3 Months

    • E

      Emory University

      Understanding Violence

      Skills you'll gain: Public Health, Conflict Management, Public Safety and National Security, International Relations, Social Justice, Mental Health, Sociology, Mental and Behavioral Health, Social Sciences, Economics, Policy, and Social Studies, Media and Communications, Trauma Care, Biology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      278 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Algorithms for Searching, Sorting, and Indexing

      Skills you'll gain: Data Structures, Algorithms, Theoretical Computer Science, Programming Principles, Computational Thinking, Analysis, Big Data, Probability & Statistics

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      493 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Manchester

      Our Earth: Its Climate, History, and Processes

      Skills you'll gain: Physical Science, Environment, Water Resources, Mathematical Modeling, Environmental Science, Biology, Simulations, Scientific Methods, Chemistry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      439 reviews

      Beginner · Course · 1 - 3 Months

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    1…181920…62

    In summary, here are 10 of our most popular computational biology courses

    • Myocardial Infarction: University of Zurich
    • Learn to Program: Crafting Quality Code: University of Toronto
    • Access Bioinformatics Databases with Biopython: Coursera Project Network
    • Curanderismo: Traditional Healing Using Plants: University of New Mexico
    • Immunology: The Immune System and its Failures: Imperial College London
    • Combinatorics and Probability: University of California San Diego
    • Equivalent Circuit Cell Model Simulation: University of Colorado Boulder
    • Drug Hunting: The Science of Making New Medicines: Novartis
    • Advanced Algorithms and Complexity: University of California San Diego
    • Understanding Violence: Emory University

    Skills you can learn in Algorithms

    Graphs (22)
    Mathematical Optimization (21)
    Computer Program (20)
    Data Structure (19)
    Problem Solving (19)
    Algebra (12)
    Computer Vision (10)
    Discrete Mathematics (10)
    Graph Theory (10)
    Image Processing (10)
    Linear Algebra (10)
    Reinforcement Learning (10)

    Frequently Asked Questions about Computational Biology

    Computational Biology is a multidisciplinary approach to applying data-scientific methods, processes, or theories to the study of biological systems. The field includes foundations in Mathematics, Statistics, Chemistry, Genetics, Genomics, Computer Science, Evolution, and related disciplines.

    An example of Computational Biology is performing experiments that produce data—building sequences of molecules, for instance—and then using methods such as machine learning to analyze the data.

    When mastered, Computational Biology enables successful learners to bring drug discovery and disease prevention expertise to Biotechnology, Pharmaceuticals, and other essential fields.‎

    As Data Science roles pertaining to Biology become increasingly in-demand, learners exploring Computational Biology can find opportunities in commercial, academic, and government domains. The positions learners can look forward to include Computer and Information Research Scientist, Computational Biology Professor, Software and Instrumentation Test Engineer, Bioinformatics Scientist, and related roles.

    Some industries in which Computational Biology learners will find exciting opportunities include Medical Device and Equipment, Research and Testing, Agricultural Chemicals, Pharmaceuticals, National Institutes of Health, and more.‎

    Courses in Computational Biology offered through Coursera explore various methods for extracting data from biological experiments. Learners discover how algorithms, data structures, and other computational methods can help them analyze DNA sequencing data. The basics in biological systems are covered so learners have a foundational understanding of DNA, genomics, and DNA sequencing. Hands-on learning of data science tools is available in many courses as well, where learners use Python, R Programming, and more to analyze real genomes and DNA sequencing datasets.‎

    Computational biology sits at the intersection of machine learning and life science, so if you possess skills in computer science and any of the various disciplines of biology, you’re ready to start learning computational biology. Having a working understanding of biology, pharmacology, and genetics can help you gain a foothold in learning computational biology, and the deeper your knowledge of those fields, the better off you’ll be in your studies. You can also benefit from a background in coding and computer programming, especially if you have experience using discrete mathematics for research and data analysis. An understanding of statistics can also give you an advantage in studying computational biology because you can apply the principles of statistics and data analysis to problem-solving within scientific disciplines.‎

    Since computational biology—also known as bioinformatics—is a scientific discipline that relies on the analysis of large amounts of data, people with analytical natures or backgrounds in statistics are well-suited for careers in this area. Individuals who are passionate about life science and want to apply technology to studying its various fields will enjoy jobs in computational biology. Computer programmers who have an interest in biology or genetics can combine their skills in building data structures with their passion for bioinformatics. Whether you want to work in academic research or for a medical corporation, you can put your scientific and computational knowledge to work in a career in computational biology.‎

    Computational biology might be the right field for you if you’re interested in biology and genetics beyond family trees and the insights from DNA test kits ordered online. If you have the desire to help develop the next revolutionary prescription or a passion to use data to help solve scientific issues, learning computational biology could be a good fit for you. You can take the skills in data analysis and computer programming that you learn studying computational biology to conduct research that helps lead to scientific breakthroughs. From pharmaceutical studies to academic research, learning computational biology offers rewarding opportunities for those who want to combine computer skills with scientific exploration.‎

    Online Computational Biology courses offer a convenient and flexible way to enhance your knowledge or learn new Computational Biology skills. Choose from a wide range of Computational Biology courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Computational Biology, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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