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    • Bioinformatics

    Bioinformatics Courses

    Bioinformatics courses can help you learn how to analyze biological data using computational tools to support research in genomics, medicine, and biotechnology.

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    Find the Best Bioinformatics Course for Your Goals

    • University of California San Diego

      Bioinformatics

      Skills you'll gain: Bioinformatics, Molecular Biology, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Data Analysis, Computational Thinking, Graph Theory, Markov Model, Biochemistry, Life Sciences, Microbiology, Statistical Analysis, Medical Science and Research, Precision Medicine, Biology, Pharmacology, Algorithms, Infectious Diseases, Data Mining

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free

      University of California San Diego

      Biology Meets Programming: Bioinformatics for Beginners

      Skills you'll gain: Bioinformatics, Programming Principles, Molecular Biology, Python Programming, Computational Thinking, Biology, Algorithms, Data Structures

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Johns Hopkins University

      Genomic Data Science

      Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Molecular Biology, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Statistical Modeling, Data Structures, Data Analysis, R Programming, Computational Thinking, Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free

      Peking University

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

      Skills you'll gain: Bioinformatics, Markov Model, Molecular Biology, Computational Thinking, Biology, Database Software, Data Analysis, Algorithms, Machine Learning Algorithms, Probability & Statistics, Data Processing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      279 reviews

      Mixed · Course · 3 - 6 Months

    • University of California San Diego

      Finding Hidden Messages in DNA (Bioinformatics I)

      Skills you'll gain: Bioinformatics, Molecular Biology, Data Analysis, Computational Thinking, Biochemistry, Biology, Life Sciences, Algorithms, Probability & Statistics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1K reviews

      Intermediate · Course · 1 - 3 Months

    • University of California San Diego

      Applied Bioinformatics

      Skills you'll gain: Bioinformatics, Laboratory Testing, Molecular Biology, Infectious Diseases, Network Analysis, Medical Science and Research, Computational Thinking, Data Mining, Biochemistry, Life Sciences, Scientific Visualization, Microbiology, Science and Research, Biology, Data Analysis Software, Pharmacology

      4.4
      Rating, 4.4 out of 5 stars
      ·
      63 reviews

      Beginner · Specialization · 1 - 3 Months

    What brings you to Coursera today?

    • University of Toronto

      Bioinformatic Methods I

      Skills you'll gain: Bioinformatics, Molecular Biology, Biology, Data Analysis Software, Data Mining, Life Sciences, Analysis, Statistical Analysis, Databases

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free

      University of Virginia

      Bacterial Bioinformatics

      Skills you'll gain: Bioinformatics, Molecular Biology, Microbiology, Scientific Visualization, Taxonomy, Command-Line Interface, Data Integration, Data Import/Export, Data Storage, File Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      245 reviews

      Intermediate · Course · 1 - 3 Months

    • University of Toronto

      Plant Bioinformatic Methods

      Skills you'll gain: Bioinformatics, Network Analysis, Research Reports, Molecular Biology, Molecular, Cellular, and Microbiology, Biology, Analysis, Data Analysis, Data Synthesis, Big Data, Statistical Methods, Data Visualization Software, Data Analysis Software, Data Mining, Experimentation, Scientific Visualization, Life Sciences, Interactive Data Visualization, Statistical Analysis, Databases

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • King Abdullah University of Science and Technology

      Fundamental Skills in Bioinformatics

      Skills you'll gain: Statistical Analysis, Bioinformatics, Unix, Scientific Visualization, Statistical Methods, R Programming, Rmarkdown, Unix Commands, Data Analysis, Data Quality, Statistical Hypothesis Testing, Exploratory Data Analysis, Data Visualization, Programming Principles, Pandas (Python Package), Python Programming, NumPy, Data Manipulation, Data Structures

      4.4
      Rating, 4.4 out of 5 stars
      ·
      59 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Technical University of Denmark (DTU)

      Whole genome sequencing of bacterial genomes - tools and applications

      Skills you'll gain: Bioinformatics, Molecular Biology, Microbiology, Infectious Diseases, Epidemiology, Data Analysis Software, Database Development, Analysis, Data Pipelines, Data Processing, Public Health, Data Quality

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 3 Months

    • Johns Hopkins University

      Bioinformatics Methods for Transcriptomics

      Skills you'll gain: Bioinformatics, Molecular Biology, Data Visualization Software, Statistical Analysis, Command-Line Interface, Linux

      Intermediate · Course · 1 - 4 Weeks

    Searches related to bioinformatics

    bioinformatics methods for transcriptomics
    bioinformatics: introduction and methods 生物信息学: 导论与方法
    bioinformatics capstone: big data in biology
    access bioinformatics databases with biopython
    plant bioinformatics
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    1234…12

    In summary, here are 10 of our most popular bioinformatics courses

    • Bioinformatics: University of California San Diego
    • Biology Meets Programming: Bioinformatics for Beginners: University of California San Diego
    • Genomic Data Science: Johns Hopkins University
    • Bioinformatics: Introduction and Methods 生物信息学: 导论与方法: Peking University
    • Finding Hidden Messages in DNA (Bioinformatics I): University of California San Diego
    • Applied Bioinformatics: University of California San Diego
    • Bioinformatic Methods I: University of Toronto
    • Bacterial Bioinformatics: University of Virginia
    • Plant Bioinformatic Methods: University of Toronto
    • Fundamental Skills in Bioinformatics: King Abdullah University of Science and Technology

    Why Learn Bioinformatics?

    Bioinformatics combines biology, computer science, and data analysis to interpret complex biological data—like genetic sequences and molecular structures. It's essential in fields such as genomics, drug discovery, and personalized medicine. Learning bioinformatics equips you to work at the intersection of science and technology, contributing to breakthroughs in health and life sciences.

    Frequently Asked Questions about Bioinformatics

    Top courses include the Bioinformatics Specialization from the University of California, San Diego and Genomic Data Science from Johns Hopkins University. These programs cover algorithms, DNA sequencing, data analysis, and tools like Python, R, and Bioconductor.‎

    Yes. Many bioinformatics courses offer a free audit option. You can access video lessons and readings at no cost. To earn a certificate or complete assessments, you’ll need to pay or apply for financial aid.‎

    You’ll learn how to analyze genomic and biological data, use bioinformatics tools and databases, and apply algorithms for DNA and RNA sequencing, gene expression, and evolutionary analysis. Some courses also teach programming and statistics for biological data.‎

    Some familiarity with biology or coding (especially in Python or R) is helpful, but not always required. Many introductory courses are designed to teach the fundamentals step by step, while more advanced courses assume prior experience in biology, computer science, or statistics.‎

    Yes. Bioinformatics is a rapidly growing field with roles in healthcare, research, biotechnology, and pharmaceuticals. Coursera courses can help you build technical and analytical skills, prepare for graduate studies, or qualify for roles in data science, genomics, and computational biology.‎

    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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