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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
      J

      Johns Hopkins University

      CUDA at Scale for the Enterprise

      Skills you'll gain: Image Analysis, Event-Driven Programming, Scalability, C and C++, Distributed Computing, Computer Graphics, Computer Vision, System Programming, Data Processing, Software Development, Performance Tuning, Hardware Architecture, Algorithms

      3.2
      Rating, 3.2 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 3 Months

    • E

      Emory University

      Extinctions: Past, Present, & Future

      Skills you'll gain: Environment, Physical Science, Environmental Issue, Environment and Resource Management, Environmental Science, Ancient History, World History, Timelines, Biology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      138 reviews

      Beginner · Course · 1 - 3 Months

    • N

      National Taiwan University

      用 Python 做商管程式設計(三)(Programming for Business Computing in Python (3))

      Skills you'll gain: Statistical Visualization, Matplotlib, Web Scraping, Business Logic, Machine Learning, Operational Analysis, Business Analytics, Python Programming, Programming Principles, Business Economics, User Interface (UI) Design, Computational Thinking, UI Components, Object Oriented Programming (OOP), Data Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      161 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Diseño de Actividades con PhET para la Educación STEM

      Skills you'll gain: Mathematics Education, Simulation and Simulation Software, Experimentation, Chemistry, Physics, Biology

      4.9
      Rating, 4.9 out of 5 stars
      ·
      128 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Anatomy & Physiology: Regulation, Integration, & Control

      Skills you'll gain: Anatomy, Neurology, Pharmacology, Kinesiology, Life Sciences, Medical Terminology, Biology

      4.9
      Rating, 4.9 out of 5 stars
      ·
      21 reviews

      Intermediate · Course · 1 - 3 Months

    • Y

      Yale University

      Journey Conversations: Weaving Knowledge and Action

      Skills you'll gain: Environmental Science, Natural Resource Management, Environment, Anthropology, Teaching, Liberal Arts, Storytelling, Community Development, Biology, Systems Thinking, Cultural Diversity, Physics, Music

      4.8
      Rating, 4.8 out of 5 stars
      ·
      164 reviews

      Mixed · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Documentation and Usability for Cancer Informatics

      Skills you'll gain: Usability, User Centered Design, Usability Testing, Technical Documentation, Bioinformatics, End User Training and Support, Technical Writing

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      UiPath

      Control Flow in RPA

      Skills you'll gain: Robotic Process Automation, Business Process Automation, Automation, Programming Principles, Computational Logic

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Wetland Science and Conservation

      Skills you'll gain: Environmental Monitoring, Community Outreach, Environmental Engineering and Restoration, Water Resources, Cultural Diversity, Land Management, Policy Analysis, Social Sciences, Cultural Sensitivity, Environmental Laws, Environmental Engineering, Natural Resource Management, Environmental Issue, Environmental Policy, Environment, Environmental Regulations, Environmental Science, Biology, Research Reports, Environment and Resource Management

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Specialization · 3 - 6 Months

    • F

      Fundação Lemann

      Aprenda a ensinar programação com o Programaê!

      Skills you'll gain: Programming Principles, Education Software and Technology, Computer Programming, Learning Management Systems, Computational Thinking, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      124 reviews

      Mixed · Course · 1 - 4 Weeks

    • E

      Eindhoven University of Technology

      Improving Your Statistical Questions

      Skills you'll gain: Research Design, Research, Quantitative Research, Experimentation, Sample Size Determination, Statistical Inference, Statistical Methods, Statistical Analysis, Data Integrity, Data Ethics, Probability & Statistics, R Programming

      4.9
      Rating, 4.9 out of 5 stars
      ·
      111 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Python: de cero a analista de datos

      Skills you'll gain: Exploratory Data Analysis, Matplotlib, Pandas (Python Package), NumPy, Extract, Transform, Load, Time Series Analysis and Forecasting, Plot (Graphics), Data Analysis, Package and Software Management, Data Science, Python Programming, Jupyter, Data Visualization Software, Statistical Analysis, Scatter Plots, Graphing, Data Import/Export, Software Installation, Computational Thinking, Mac OS

      4.2
      Rating, 4.2 out of 5 stars
      ·
      41 reviews

      Beginner · Specialization · 3 - 6 Months

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

    • CUDA at Scale for the Enterprise: Johns Hopkins University
    • Extinctions: Past, Present, & Future: Emory University
    • 用 Python 做商管程式設計(三)(Programming for Business Computing in Python (3)): National Taiwan University
    • Diseño de Actividades con PhET para la Educación STEM: University of Colorado Boulder
    • Anatomy & Physiology: Regulation, Integration, & Control: Rice University
    • Journey Conversations: Weaving Knowledge and Action: Yale University
    • Documentation and Usability for Cancer Informatics: Johns Hopkins University
    • Control Flow in RPA: UiPath
    • Wetland Science and Conservation: University of Illinois Urbana-Champaign
    • Aprenda a ensinar programação com o Programaê!: Fundação Lemann

    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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