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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

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Bioinformatics

    Skills you'll gain: Bioinformatics, Molecular Biology, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Data Analysis, Markov Model, Network Analysis, Biochemistry, Biotechnology, Life Sciences, Infectious Diseases, Statistical Analysis, Biology, Pharmacology, Algorithms, Machine Learning, Data Analysis Software, Data Mapping, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.3K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of California San Diego

    Biology Meets Programming: Bioinformatics for Beginners

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

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

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    U

    University of California San Diego

    Linux Tools for Text Processing

    Skills you'll gain: Linux Commands, Linux, Unix Commands, Shell Script, Linux Administration, Data Processing, Text Mining, Command-Line Interface, Data Manipulation, Unix, Scripting, Automation, File Management

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    B

    Birla Institute of Technology & Science, Pilani

    Introduction to Bioinformatics

    Skills you'll gain: Bioinformatics, Biotechnology, Data Management, Biostatistics, Informatics, Clinical Data Management, Precision Medicine, Data Analysis, Data Mining, Applied Machine Learning, Unsupervised Learning, Cell Biology, R Programming, Scientific Visualization, Correlation Analysis, Chemical and Biomedical Engineering, Dimensionality Reduction, Computational Thinking, Markov Model, Algorithms

    Beginner · Course

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Bioinformatic Methods I

    Skills you'll gain: Biostatistics, Biotechnology, Data Analysis Software, Medical Science and Research, Analysis, Life Sciences

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

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Applied Bioinformatics

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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    66 reviews

    Beginner · Specialization · 1 - 3 Months

What brings you to Coursera today?

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Bioinformatics Methods for Transcriptomics

    Skills you'll gain: Bioinformatics, Molecular Biology, R Programming, Statistical Analysis, Command-Line Interface, Linux

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    P

    Peking University

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

    Skills you'll gain: Bioinformatics, Life Sciences, Biostatistics, Molecular Biology, Informatics, Biology, Computational Thinking, Machine Learning Algorithms, Data Analysis Software, Statistical Analysis, Data Processing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    282 reviews

    Mixed · Course · 3 - 6 Months

  • Status: Free
    Free
    U

    University of Virginia

    Bacterial Bioinformatics

    Skills you'll gain: Bioinformatics, Data Analysis Software, Scientific Visualization, Taxonomy, Data Integration, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    283 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    K

    King Abdullah University of Science and Technology

    Fundamental Skills in Bioinformatics

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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    62 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    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, R Programming, Computational Thinking, Jupyter, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6.7K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Plant Bioinformatic Methods

    Skills you'll gain: Bioinformatics, Network Analysis, Biostatistics, Molecular Biology, Analysis, Biotechnology, Data Visualization Software, Database Software, Data Analysis Software, Health Informatics, Data Analysis, Data Synthesis, Statistical Methods, Data Mining, Medical Science and Research, Exploratory Data Analysis, Technical Communication, Life Sciences, Data Processing, Scientific Visualization

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

    Beginner · Specialization · 3 - 6 Months

Bioinformatics learners also search

computational biology
genomics
health informatics
molecular biology
informatics
genome
genome sequencing
computational science
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
  • Linux Tools for Text Processing: University of California San Diego
  • Introduction to Bioinformatics: Birla Institute of Technology & Science, Pilani
  • Bioinformatic Methods I: University of Toronto
  • Applied Bioinformatics: University of California San Diego
  • Bioinformatics Methods for Transcriptomics: Johns Hopkins University
  • Bioinformatics: Introduction and Methods 生物信息学: 导论与方法: Peking University
  • Bacterial Bioinformatics: University of Virginia
  • Fundamental Skills in Bioinformatics: King Abdullah University of Science and Technology

Frequently Asked Questions about Bioinformatics

Browse the bioinformatics courses below—popular starting points on Coursera.

  • Biology Meets Programming: Bioinformatics for Beginners: University of California San Diego
  • Introduction to Bioinformatics: Birla Institute of Technology & Science, Pilani
  • Bioinformatic Methods I: University of Toronto
  • Bioinformatics Methods for Transcriptomics: Johns Hopkins University
  • Bacterial Bioinformatics: University of Virginia‎

Yes. You can start learning bioinformatics on Coursera for free in two ways:

  • Preview the first module of many bioinformatics courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  • Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in bioinformatics, or unlock full course access after the preview or trial, you can upgrade 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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