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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: New
      New
      Status: Free Trial
      Free Trial
      I

      Immersify

      Foundations of Human Anatomy and Physiology

      Skills you'll gain: Anatomy, Medical Terminology, Biology, Vital Signs, Blood Pressure, Respiration

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Dartmouth College

      Mechanics & Origins of Bipedalism

      Skills you'll gain: Scientific Methods, Laboratory Research, Research, Mechanics, Anthropology, Human Factors, Spatial Data Analysis, Torque (Physics), Life Sciences, Motion Graphics, Biology, Scientific Visualization, Timelines, 3D Modeling, Infographics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of Colorado Boulder

      Temporal Logic Model Checking

      Skills you'll gain: Computational Logic, Systems Architecture, Verification And Validation, Systems Design, Software Architecture, Theoretical Computer Science, Digital Communications, Simulations, Algorithms, Safety and Security

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists

      Skills you'll gain: Computational Thinking, Debugging, Programming Principles, Technical Communication, Computer Programming, Event-Driven Programming, Program Development, Data Structures, Algorithms, Student Engagement, Graphical Tools

      Beginner · Course · 1 - 3 Months

    • S

      Siemens

      Dinámica de fluidos computacional aplicada

      Skills you'll gain: Simulation and Simulation Software, Engineering Analysis, Finite Element Methods, Engineering Calculations, Simulations, Thermal Management, Mechanical Engineering, Hydraulics, Engineering, Numerical Analysis, Mathematical Modeling, Computational Thinking, Chemical Engineering, Physics

      Intermediate · Course · 1 - 3 Months

    • U

      Universitat de Barcelona

      Molecular Tumor Board 2020-21

      Skills you'll gain: Precision Medicine, Oncology, Pathology, Molecular Biology, Internal Medicine, Clinical Research, Pulmonology, Treatment Planning, Pharmacology

      Intermediate · Course · 1 - 3 Months

    • U

      UBITS

      Programar desde cero en pseudocódigo

      Skills you'll gain: Computational Thinking, Pseudocode, Algorithms, Programming Principles, Computer Programming, Computer Programming Tools

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Process Map Data using C++ Adjacency List Shortest Path

      Skills you'll gain: Graph Theory, C++ (Programming Language), Network Routing, Data Structures, Object Oriented Programming (OOP), Computational Thinking, Algorithms, File Systems

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Creative Coding for Designers Using Python

      Skills you'll gain: Animation and Game Design, Simulations, Computer Graphics, Python Programming, Creative Design, Object Oriented Programming (OOP), Scripting, Computer Programming Tools, Algorithms, Data Structures

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Data Structures for Designers Using Python

      Skills you'll gain: Object Oriented Programming (OOP), Software Design, Technical Design, Data Structures, Visualization (Computer Graphics), Programming Principles, Computer Programming, Computer Graphics, Python Programming, Algorithms, Simulations

      Intermediate · Course · 1 - 3 Months

    • U

      University of Leeds

      Introduction to Technology-Assisted Decision-Making

      Skills you'll gain: Resource Allocation, Operations Research, Production Planning, Graph Theory, Data-Driven Decision-Making, Decision Making, Mathematical Modeling, Process Optimization, Network Planning And Design, Complex Problem Solving, Algorithms, Linear Algebra

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      Simplilearn

      Data Analytics with Python

      Skills you'll gain: Matplotlib, NumPy, Python Programming, Data Presentation, Pandas (Python Package), Data Analysis, Data Visualization Software, Scripting, Analytics, Numerical Analysis, Data Manipulation, Real Time Data, Data Processing, Programming Principles, Scripting Languages, Data Cleansing

      Beginner · Course · 1 - 4 Weeks

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

    • Foundations of Human Anatomy and Physiology: Immersify
    • Mechanics & Origins of Bipedalism: Dartmouth College
    • Temporal Logic Model Checking : University of Colorado Boulder
    • Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists: University of California San Diego
    • Dinámica de fluidos computacional aplicada: Siemens
    • Molecular Tumor Board 2020-21: Universitat de Barcelona
    • Programar desde cero en pseudocódigo: UBITS
    • Process Map Data using C++ Adjacency List Shortest Path: Coursera Project Network
    • Creative Coding for Designers Using Python: University of Michigan
    • Data Structures for Designers Using Python: University of Michigan

    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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