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  • Computational Biology

Computational Biology Courses

Showing 72 total results for "computational biology"

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    Genomic Data Science
    Johns Hopkins University
    SPECIALIZATION
    Rated 4.4 out of five stars. 4561 reviews
    4.4(4,561)
    110k students
    Intermediate LevelIntermediate
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    Bioinformatics
    University of California San Diego
    SPECIALIZATION
    Rated 4.4 out of five stars. 953 reviews
    4.4(953)
    85k students
    Beginner LevelBeginner
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    Biology Meets Programming: Bioinformatics for Beginners
    University of California San Diego
    COURSE
    Rated 4.3 out of five stars. 1133 reviews
    4.3(1,133)
    110k students
    Beginner LevelBeginner
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    Simulation and modeling of natural processes
    University of Geneva
    COURSE
    Rated 4.2 out of five stars. 237 reviews
    4.2(237)
    25k students
    Mixed LevelMixed
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    Basic Artificial Neural Networks in Python
    Coursera Project Network

    NEW

    GUIDED PROJECT
    Rated 4.1 out of five stars. 143 reviews
    4.1(143)
    6.9k students
    Intermediate LevelIntermediate
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    Biology Everywhere
    University of Colorado Boulder
    SPECIALIZATION
    Rated 4.7 out of five stars. 70 reviews
    4.7(70)
    5.6k students
    Beginner LevelBeginner
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    Algorithms for DNA Sequencing
    Johns Hopkins University
    COURSE
    Rated 4.8 out of five stars. 675 reviews
    4.8(675)
    27k students
    Mixed LevelMixed
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    Computational Neuroscience
    University of Washington
    COURSE
    Rated 4.6 out of five stars. 808 reviews
    4.6(808)
    81k students
    Beginner LevelBeginner
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    Statistical Thermodynamics: Molecules to Machines
    Carnegie Mellon University
    COURSE
    Rated 3.9 out of five stars. 42 reviews
    3.9(42)
    11k students
    Intermediate LevelIntermediate
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    Specialty Topics: Biology Across Disciplines
    University of Colorado Boulder
    COURSE
    Beginner LevelBeginner
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    Hacking COVID-19 — Course 1: Identifying a Deadly Pathogen
    University of California San Diego
    COURSE
    Beginner LevelBeginner
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    Music as Biology: What We Like to Hear and Why
    Duke University
    COURSE
    Rated 4.3 out of five stars. 595 reviews
    4.3(595)
    53k students
    Mixed LevelMixed
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    Genome Assembly Programming Challenge
    National Research University Higher School of Economics
    COURSE
    Rated 4.5 out of five stars. 273 reviews
    4.5(273)
    29k students
    Advanced LevelAdvanced
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    Введение в биоинформатику (Introduction to Bioinformatics)
    Saint Petersburg State University
    COURSE
    Rated 4.4 out of five stars. 71 reviews
    4.4(71)
    10k students
    Beginner LevelBeginner
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    Genome Sequencing (Bioinformatics II)
    University of California San Diego
    COURSE
    Rated 4.6 out of five stars. 276 reviews
    4.6(276)
    21k students
    Beginner LevelBeginner
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    Chemical Biology
    University of Geneva
    COURSE
    Rated 4.9 out of five stars. 14 reviews
    4.9(14)
    3.3k students
    Intermediate LevelIntermediate
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    Systems Biology and Biotechnology
    Icahn School of Medicine at Mount Sinai
    SPECIALIZATION
    Rated 4.4 out of five stars. 732 reviews
    4.4(732)
    60k students
    Intermediate LevelIntermediate
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    Introduction to Genomic Technologies
    Johns Hopkins University
    COURSE
    Rated 4.6 out of five stars. 3210 reviews
    4.6(3,210)
    59k students
    Mixed LevelMixed
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    Finding Hidden Messages in DNA (Bioinformatics I)
    University of California San Diego
    COURSE
    Rated 4.4 out of five stars. 795 reviews
    4.4(795)
    71k students
    Beginner LevelBeginner
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    Genomic Data Science with Galaxy
    Johns Hopkins University
    COURSE
    Rated 3.6 out of five stars. 827 reviews
    3.6(827)
    23k students
    Mixed LevelMixed

Searches related to computational biology

biological computation

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

  • Genomic Data Science: Johns Hopkins University
  • Bioinformatics: University of California San Diego
  • Biology Meets Programming: Bioinformatics for Beginners: University of California San Diego
  • Simulation and modeling of natural processes: University of Geneva
  • Basic Artificial Neural Networks in Python: Coursera Project Network
  • Biology Everywhere: University of Colorado Boulder
  • Algorithms for DNA Sequencing: Johns Hopkins University
  • Computational Neuroscience: University of Washington
  • Statistical Thermodynamics: Molecules to Machines: Carnegie Mellon University
  • Specialty Topics: Biology Across Disciplines: University of Colorado Boulder

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.

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