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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

    • S

      Siemens

      Angewandte numerische Fluiddynamik

      Skills you'll gain: Thermal Management, Hydraulics, Engineering Analysis, Simulations, Numerical Analysis, Engineering, Mathematical Modeling, Physics

      Intermediate · Course · 1 - 3 Months

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

      University of Colorado Boulder

      BiteSize Python for Absolute Beginners: Flow Controls

      Skills you'll gain: Python Programming, Programming Principles, Data Structures, Computational Logic, Debugging, Computational Thinking, Maintainability

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Fundamentals of Programming Using Flowchart and Pseudocode

      Skills you'll gain: Pseudocode, Programming Principles, Software Visualization, Computational Logic, Debugging, Computer Programming, Graphical Tools

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      U

      Universitat de Barcelona

      Molecular Tumor Board 2024-25

      Skills you'll gain: Precision Medicine, Oncology, Molecular Biology, Pathology, Laboratory Testing, Treatment Planning, Clinical Research, Pharmacology, Patient Treatment

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      التحضير لمقابلة عمل الترميز

      Skills you'll gain: Pseudocode, Data Structures, Algorithms, Programming Principles, Theoretical Computer Science, Software Visualization, Computer Science, Computational Thinking, Technical Communication, Program Development, Computational Logic

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Blocks-based ABM with NetTango

      Skills you'll gain: Simulations, Education Software and Technology, Computer Programming Tools, Computational Thinking, Data Sharing, Program Development, Computer Programming, UI Components

      Advanced · Guided Project · Less Than 2 Hours

    • Status: New
      New
      B

      Board Infinity

      Logical & Analytical Reasoning — Exam & Recruitment Prep

      Skills you'll gain: Logical Reasoning, Deductive Reasoning, Analytical Skills, Critical Thinking, Problem Solving, Complex Problem Solving, Applied Mathematics, Computational Logic, Cognitive flexibility, Decision Making, Arithmetic

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      Immersify

      Digestive Dynamics: Understanding the GI System

      Skills you'll gain: Clinical Nutrition, Patient Evaluation, General Medical Tests and Procedures, Anatomy, Pathology, General Medicine, Nutrition and Diet, Microbiology, Biology, Molecular, Cellular, and Microbiology

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Codio

      Data Analysis in Python

      Skills you'll gain: Matplotlib, Statistical Hypothesis Testing, Data Analysis, Data Import/Export, Data Visualization, Data Cleansing, Probability & Statistics, Data Manipulation, Statistics, Descriptive Statistics, Pandas (Python Package), Exploratory Data Analysis, Data Science, Python Programming, Computational Logic

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      Immersify

      Integrating Specialized Body Functions

      Skills you'll gain: Nephrology, Urology, Gynecology, Anatomy, Neurology, Medical Terminology, Nursing, Biology, Pathology, Stress Management, Patient Evaluation, Pharmacology

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      N

      Northeastern University

      Data Structures & Algos: Software Development Skills

      Skills you'll gain: Algorithms, Theoretical Computer Science, Data Structures, Computational Thinking, Analysis, Computer Science, Performance Tuning, Software Development, Scalability

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      OpenCL Programming

      Skills you'll gain: Distributed Computing, Scalability, Performance Tuning, C++ (Programming Language), Embedded Software, System Programming, Computer Architecture, Cross Platform Development, Hardware Architecture, Application Development, C (Programming Language), Programming Principles, Open Source Technology, Program Development, Application Performance Management, Development Environment

      Beginner · Course · 1 - 4 Weeks

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

    • Angewandte numerische Fluiddynamik: Siemens
    • BiteSize Python for Absolute Beginners: Flow Controls: University of Colorado Boulder
    • Fundamentals of Programming Using Flowchart and Pseudocode: Packt
    • Molecular Tumor Board 2024-25: Universitat de Barcelona
    • التحضير لمقابلة عمل الترميز: Meta
    • Blocks-based ABM with NetTango: Coursera Project Network
    • Logical & Analytical Reasoning — Exam & Recruitment Prep: Board Infinity
    • Digestive Dynamics: Understanding the GI System : Immersify
    • Data Analysis in Python: Codio
    • Integrating Specialized Body Functions: Immersify

    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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