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    • Computational Biology

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    41 results for "computational biology"

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      Johns Hopkins University

      Genomic Data Science

      Skills you'll gain: Probability & Statistics, Bioinformatics, Computer Programming, Statistical Programming, Python Programming, Data Analysis, R Programming, Theoretical Computer Science, Algorithms, Business Analysis, General Statistics, Statistical Analysis, Data Analysis Software, Computer Programming Tools, Biostatistics, Other Programming Languages, Software Engineering, Big Data, Data Management, Data Visualization, Amazon Web Services, Cloud Applications, Cloud Computing, Cloud Platforms, Statistical Tests, Basic Descriptive Statistics, Computational Thinking, Exploratory Data Analysis, Human Computer Interaction, Software Architecture, User Experience, Accounting, Advertising, Communication, Computer Graphics, Financial Analysis, Graphics Software, Marketing

      4.5

      (5.9k reviews)

      Intermediate · Specialization · 3-6 Months

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      Johns Hopkins University

      Introduction to Genomic Technologies

      Skills you'll gain: Probability & Statistics, Bioinformatics, Data Analysis, Business Analysis, General Statistics, Statistical Analysis, Algorithms, Computer Programming, Software Engineering, Statistical Tests, Theoretical Computer Science

      4.6

      (4.2k reviews)

      Mixed · Course · 1-4 Weeks

    • Free

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      University of California San Diego

      Biology Meets Programming: Bioinformatics for Beginners

      Skills you'll gain: Bioinformatics, Computer Programming, Probability & Statistics, Python Programming, Statistical Programming, Algorithms, Theoretical Computer Science

      4.2

      (1.4k reviews)

      Beginner · Course · 1-4 Weeks

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      University of California San Diego

      Bioinformatics

      Skills you'll gain: Bioinformatics, Probability & Statistics, Theoretical Computer Science, Algorithms, Computer Programming, Graph Theory, Mathematics, Computational Thinking, Entrepreneurship, Leadership and Management, Problem Solving, Research and Design, Combinatorics, Business Psychology, Communication, Customer Support, Journalism, Marketing, Microsoft Excel, Supply Chain and Logistics

      4.3

      (1.1k reviews)

      Beginner · Specialization · 3-6 Months

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      Icahn School of Medicine at Mount Sinai

      Systems Biology and Biotechnology

      Skills you'll gain: Probability & Statistics, Bioinformatics, Experiment, Mathematics, Network Analysis, Differential Equations, Graph Theory, Data Analysis, Data Visualization, Feature Engineering, Machine Learning, Matlab, Plot (Graphics), Business Analysis, Process Analysis, Applied Mathematics, Biostatistics, Correlation And Dependence, Algorithms, Big Data, Data Management, R Programming, Statistical Analysis, Statistical Programming, Statistical Tests, Theoretical Computer Science, Computational Logic, Computer Networking, Data Visualization Software, Dimensionality Reduction, Epidemiology, General Statistics, Network Model, Strategy and Operations

      4.4

      (902 reviews)

      Intermediate · Specialization · 3-6 Months

    • Free

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      Peking University

      Bioinformatics: Introduction and Methods 生物信息学: 导论与方法

      Skills you'll gain: Bioinformatics, Probability & Statistics, Algorithms, Theoretical Computer Science, Databases, Human Computer Interaction, Machine Learning, Markov Model, User Experience

      4.4

      (238 reviews)

      Mixed · Course · 3-6 Months

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      Free

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      The University of Edinburgh

      Data Science in Stratified Healthcare and Precision Medicine

      Skills you'll gain: Computer Programming, Machine Learning, Probability & Statistics, Python Programming, Statistical Programming, Applied Machine Learning, Clinical Data Management, Data Management, Machine Learning Algorithms, Business Analysis, Computer Graphics, Computer Networking, Computer Vision, Data Analysis, Data Visualization, Deep Learning, General Statistics, Machine Learning Software, Natural Language Processing, Network Model, Process Analysis, Regression, Basic Descriptive Statistics, Bayesian Network, Data Analysis Software, Statistical Analysis, Statistical Machine Learning

      4.6

      (281 reviews)

      Intermediate · Course · 1-3 Months

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      Icahn School of Medicine at Mount Sinai

      Dynamical Modeling Methods for Systems Biology

      Skills you'll gain: Data Analysis, Data Visualization, Feature Engineering, Machine Learning, Matlab, Plot (Graphics), Strategy and Operations

      4.7

      (206 reviews)

      Mixed · Course · 1-3 Months

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      Icahn School of Medicine at Mount Sinai

      Introduction to Systems Biology

      Skills you'll gain: Bioinformatics, Probability & Statistics, Mathematics, Network Analysis, Differential Equations, Graph Theory, Applied Mathematics, Biostatistics, Correlation And Dependence, Computational Logic, Computer Networking, Epidemiology, Network Model, Theoretical Computer Science

      4.2

      (533 reviews)

      Mixed · Course · 1-3 Months

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      Free

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      Nanjing University

      Data Processing Using Python

      Skills you'll gain: Computer Programming, Python Programming, Computer Science, Data Structures, Theoretical Computer Science, Computational Thinking, Human Computer Interaction, User Experience, Statistical Programming

      4.1

      (310 reviews)

      Beginner · Course · 1-3 Months

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      Free

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      University of Washington

      Computational Neuroscience

      Skills you'll gain: Data Science, Machine Learning, Artificial Neural Networks, Python Programming, Statistical Programming, Matlab, Reinforcement Learning, Business Psychology, Communication, Computer Networking, Computer Programming, Data Analysis, Data Analysis Software, Deep Learning, Entrepreneurship, General Statistics, Linear Algebra, Machine Learning Algorithms, Mathematics, Network Model, Probability & Statistics, Probability Distribution

      4.6

      (1k reviews)

      Beginner · Course · 1-3 Months

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      Free

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      University of California San Diego

      Hacking COVID-19 — Course 1: Identifying a Deadly Pathogen

      Skills you'll gain: Bioinformatics, Probability & Statistics

      4.5

      (41 reviews)

      Beginner · Course · 1-4 Weeks

    1234

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

    • Genomic Data Science: Johns Hopkins University
    • Introduction to Genomic Technologies: Johns Hopkins University
    • Biology Meets Programming: Bioinformatics for Beginners: University of California San Diego
    • Bioinformatics: University of California San Diego
    • Systems Biology and Biotechnology: Icahn School of Medicine at Mount Sinai
    • Bioinformatics: Introduction and Methods 生物信息学: 导论与方法: Peking University
    • Data Science in Stratified Healthcare and Precision Medicine: The University of Edinburgh
    • Dynamical Modeling Methods for Systems Biology: Icahn School of Medicine at Mount Sinai
    • Introduction to Systems Biology: Icahn School of Medicine at Mount Sinai
    • Data Processing Using Python: Nanjing 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.‎

    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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