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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
      D

      Duke University

      Programming for Python Data Science: Principles to Practice

      Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Computational Thinking, Predictive Modeling, Data Cleansing, Data Structures, Data Visualization Software, Visualization (Computer Graphics), Debugging, Data Analysis, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Statistical Methods, Program Development

      3.8
      Rating, 3.8 out of 5 stars
      ·
      70 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      University of Pennsylvania

      Calculus: Single Variable Part 2 - Differentiation

      Skills you'll gain: Calculus, Applied Mathematics, Derivatives, Engineering Calculations, Advanced Mathematics, Economics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      Universidade de São Paulo

      Introdução à Ciência da Computação com Python Parte 2

      Skills you'll gain: Object Oriented Programming (OOP), Computer Programming, Theoretical Computer Science, Python Programming, Algorithms, Data Structures, Programming Principles, Computer Science, Computational Thinking, Maintainability, Software Design Patterns, Performance Testing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 3 Months

    • T

      Technion - Israel Institute of Technology

      Medical Cannabis for Pain Control

      Skills you'll gain: Psychiatry, Patient Safety, Contraindication, Pharmacology, Neurology, Medical Science and Research, Drug Interaction, Ancient History, Oncology, Mental Health Diseases and Disorders, Chronic Diseases, Biology, World History, Biochemistry

      4.4
      Rating, 4.4 out of 5 stars
      ·
      148 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Foundations in Virology and Vaccinology

      Skills you'll gain: Infectious Diseases, Infection Control, Public Health and Disease Prevention, Molecular Biology, Epidemiology, Microbiology, Life Sciences, Public Health, Medical Science and Research, Pharmaceuticals, Biology, Clinical Trials, Laboratory Research, Pharmacology, Clinical Research, New Product Development, Molecular, Cellular, and Microbiology, Innovation, Emerging Technologies, Manufacturing Processes

      4.9
      Rating, 4.9 out of 5 stars
      ·
      60 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Social Network Analysis

      Skills you'll gain: Network Analysis, Data Wrangling, Social Sciences, Graph Theory, Statistical Visualization, Data Visualization Software, Predictive Analytics, Scientific Methods, Simulations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      237 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      History of Medical Cannabis

      Skills you'll gain: Pharmacology, Healthcare Industry Knowledge, Pharmaceuticals, Medication Administration, Research, Clinical Research, Medical Prescription, Mental and Behavioral Health, Patient Safety, Public Health, Health Policy, Epidemiology, Public Policies, Law, Regulation, and Compliance, Risk Analysis, Biology, Research Methodologies, Regulation and Legal Compliance, Legal Research

      4.8
      Rating, 4.8 out of 5 stars
      ·
      331 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      Camera and Imaging

      Skills you'll gain: Image Analysis, Computer Vision, Photography, Color Theory, Computer Graphics, Visualization (Computer Graphics), Electronic Components, Semiconductors, Algorithms, Linear Algebra, Advanced Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      143 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Fundamentals of Immunology: Inflammation, Tolerance, Autoimmunity

      Skills you'll gain: Pharmacology, Infectious Diseases, Anatomy, Pathology, Laboratory Testing, Molecular Biology, Molecular, Cellular, and Microbiology, Patient Treatment, Medical Science and Research, Biology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      328 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Florida

      Science of Training Young Athletes Part 2

      Skills you'll gain: Kinesiology, Coaching, Injury Prevention, Stress Management, Planning, Biochemistry, Biology, Adaptability, Anatomy

      4.9
      Rating, 4.9 out of 5 stars
      ·
      114 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Cómputo evolutivo

      Skills you'll gain: Bioinformatics, Algorithms, Computational Thinking, Computer Engineering, Machine Learning Algorithms, Artificial Intelligence, Program Development

      4.1
      Rating, 4.1 out of 5 stars
      ·
      21 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Copenhagen

      Non-Alcoholic Fatty Liver Disease – The Essentials

      Skills you'll gain: Patient Evaluation, Pathology, General Medical Tests and Procedures, Laboratory Testing, Medical Imaging, Biochemistry, Chronic Diseases, Patient Treatment, Biology, Internal Medicine, Pharmacology, General Medicine, Nutrition and Diet, Medical Science and Research, Epidemiology, Clinical Nutrition, Anatomy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      133 reviews

      Intermediate · Course · 1 - 3 Months

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

    • Programming for Python Data Science: Principles to Practice: Duke University
    • Calculus: Single Variable Part 2 - Differentiation: University of Pennsylvania
    • Introdução à Ciência da Computação com Python Parte 2: Universidade de São Paulo
    • Medical Cannabis for Pain Control : Technion - Israel Institute of Technology
    • Foundations in Virology and Vaccinology: Imperial College London
    • Social Network Analysis: University of California, Davis
    • History of Medical Cannabis: University of Colorado Boulder
    • Camera and Imaging: Columbia University
    • Fundamentals of Immunology: Inflammation, Tolerance, Autoimmunity: Rice University
    • Science of Training Young Athletes Part 2: University of Florida

    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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