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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

    • Status: Free Trial
      Free Trial
      I

      Icahn School of Medicine at Mount Sinai

      Integrated Analysis in Systems Biology

      Skills you'll gain: Science and Research, Scientific Methods, Analysis, Systems Analysis, Biology, Bioinformatics, Life Sciences, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      87 reviews

      Mixed · 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

    • J

      Johns Hopkins University

      Bioinformatics Methods for Transcriptomics

      Skills you'll gain: Bioinformatics, Molecular Biology, Data Visualization Software, Statistical Analysis, Command-Line Interface, Linux

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Exploratory Data Analysis with MATLAB

      Skills you'll gain: Interactive Data Visualization, Data Import/Export, Technical Communication, Data Analysis, Exploratory Data Analysis, Data Visualization Software, Data Science, Matlab, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Manipulation, Data Mapping, Scripting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      813 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      MedCerts

      Medical Terminology, Anatomy, and Physiology Fundamentals

      Skills you'll gain: Medical Terminology, Pathology, Medical Records, Anatomy, Health Information Management and Medical Records, Vital Signs, Biology, Nutrition and Diet, Life Sciences

      4.7
      Rating, 4.7 out of 5 stars
      ·
      146 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Visual Perception and the Brain

      Skills you'll gain: Psychology, Neurology, Human Learning, Visual Impairment Education, Biology, Scientific Methods, Anatomy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      272 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Geneva

      Simulation and modeling of natural processes

      Skills you'll gain: Simulations, Python Programming, Differential Equations, Numerical Analysis, Mathematical Modeling, Probability, Artificial Intelligence and Machine Learning (AI/ML), Computational Thinking, Visualization (Computer Graphics), Mechanics, Algorithms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      398 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Amsterdam

      Logic for Economists

      Skills you'll gain: Computational Logic, Logical Reasoning, Mathematics and Mathematical Modeling, Deductive Reasoning, General Mathematics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      293 reviews

      Advanced · Course · 1 - 3 Months

    • T

      Technical University of Denmark (DTU)

      Introduction to Industrial Bioprocess Development

      Skills you'll gain: Process Engineering, Chemical and Biomedical Engineering, Chemical Engineering, Sterilization, Microbiology, Process Control, Good Manufacturing Practices, Production Process, Biochemistry, Pharmaceuticals, Scalability, Manufacturing Processes, Process Development, Laboratory Testing, Engineering Calculations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      295 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Number Theory and Cryptography

      Skills you'll gain: Cryptography, Key Management, Encryption, Public Key Cryptography Standards (PKCS), Cybersecurity, Arithmetic, Algorithms, Theoretical Computer Science, Computational Thinking, Algebra, Applied Mathematics, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      607 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Peking University

      计算机组成 Computer Organization

      Skills you'll gain: Computer Architecture, Hardware Architecture, Computer Hardware, Data Storage, Data Storage Technologies, Systems Architecture, Computational Logic, Peripheral Devices

      4.8
      Rating, 4.8 out of 5 stars
      ·
      482 reviews

      Mixed · Course · 1 - 3 Months

    • T

      Technical University of Denmark (DTU)

      Patenting in Biotechnology

      Skills you'll gain: Intellectual Property, Chemistry, Legal Risk, Regulation and Legal Compliance, Keyword Research, Molecular Biology, Strategic Thinking, Database Management Systems, Technical Writing, Research Reports, Databases

      4.5
      Rating, 4.5 out of 5 stars
      ·
      238 reviews

      Beginner · Course · 1 - 3 Months

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

    • Integrated Analysis in Systems Biology: Icahn School of Medicine at Mount Sinai
    • Data Science in Stratified Healthcare and Precision Medicine: The University of Edinburgh
    • Bioinformatics Methods for Transcriptomics: Johns Hopkins University
    • Exploratory Data Analysis with MATLAB: MathWorks
    • Medical Terminology, Anatomy, and Physiology Fundamentals: MedCerts
    • Visual Perception and the Brain: Duke University
    • Simulation and modeling of natural processes: University of Geneva
    • Logic for Economists: University of Amsterdam
    • Introduction to Industrial Bioprocess Development: Technical University of Denmark (DTU)
    • Number Theory and Cryptography: University of California San Diego

    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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