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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

    • U

      University of Illinois Urbana-Champaign

      Genomics for Law

      Skills you'll gain: Intellectual Property, Medical Science and Research, Criminal Investigation and Forensics, Medical Privacy, Law, Regulation, and Compliance, Legal Research, Legal Proceedings, Regulation and Legal Compliance, Case Law, Ethical Standards And Conduct, Lawsuits

      4.8
      Rating, 4.8 out of 5 stars
      ·
      159 reviews

      Beginner · Course · 1 - 3 Months

    • I

      Icahn School of Medicine at Mount Sinai

      Big Data Science with the BD2K-LINCS Data Coordination and Integration Center

      Skills you'll gain: Bioinformatics, Interactive Data Visualization, Supervised Learning, Machine Learning, Big Data, Data Science, Data Integration, Unsupervised Learning, Molecular Biology, Data Processing, Data Analysis, Metadata Management, Application Programming Interface (API), Restful API

      4.8
      Rating, 4.8 out of 5 stars
      ·
      26 reviews

      Intermediate · Course · 3 - 6 Months

    • U

      University of California San Diego

      Mathematical Thinking in Computer Science

      Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Theoretical Computer Science, Algorithms, Python Programming, Computer Programming, Computer Science, Program Development

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.3K reviews

      Beginner · Course · 1 - 3 Months

    • S

      Stanford University

      Algorithms

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Network Model, Computational Thinking, Network Analysis, Analysis, Programming Principles, Probability & Statistics, Network Routing, Probability, Operations Research, Design Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of California San Diego

      Bioinformatics Capstone: Big Data in Biology

      Skills you'll gain: Bioinformatics, Molecular Biology, Life Sciences, Medical Science and Research, Precision Medicine, Structural Analysis

      3.7
      Rating, 3.7 out of 5 stars
      ·
      29 reviews

      Intermediate · Course · 1 - 4 Weeks

    • R

      Rice University

      Fundamentals of Computing

      Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Computer Programming, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Mathematical Software, Data Analysis, Theoretical Computer Science, Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • S

      Stanford University

      Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

      Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado System

      Clinical Data Science

      Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Extract, Transform, Load, Data Modeling, Clinical Research, R Programming, Data Manipulation, Predictive Modeling, Database Design, Google Cloud Platform, Intensive Care Unit, Data Ethics, Data Quality, Risk Modeling, Natural Language Processing, Health Informatics, Statistical Modeling, Bioinformatics, Text Mining, Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      468 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      I

      Indian Institute of Science

      Sensor Technologies for Biomedical Applications

      Skills you'll gain: Engineering Documentation, Chemical and Biomedical Engineering, Medical Equipment and Technology, Electronics Engineering, Vital Signs, Technical Documentation, Electronic Systems, Electronic Components, Electronics, Chemistry, Technical Communication, Semiconductors, ISO 13485 Standard, Internet Of Things, Laboratory Equipment, Electrical Engineering, Health Technology, Molecular Biology, Engineering Design Process, Biology

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      University of Geneva

      Chemical Biology

      Skills you'll gain: Biochemistry, Molecular Biology, Bioinformatics, Chemistry, Experimentation, Laboratory Experience, Scientific Visualization, Biology, Laboratory Equipment, Image Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      147 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      Introducción a la inteligencia artificial

      Skills you'll gain: Bayesian Network, Program Development, Computational Logic, Game Theory, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Computational Thinking, Creativity, Engineering Software, Markov Model, Software Development, Theoretical Computer Science, Generative AI, Decision Support Systems, Applied Machine Learning, Data Ethics, Problem Management, Social Sciences, Bioinformatics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      585 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of California San Diego

      Algorithmic Toolbox

      Skills you'll gain: Algorithms, Program Development, Debugging, Development Testing, Test Engineering, Software Testing, Computational Thinking, Test Case, Computer Programming, Programming Principles, Data Structures, Theoretical Computer Science, Bioinformatics, Design Strategies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      13K reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to bioinformatics

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    1…789…12

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

    • Genomics for Law: University of Illinois Urbana-Champaign
    • Big Data Science with the BD2K-LINCS Data Coordination and Integration Center: Icahn School of Medicine at Mount Sinai
    • Mathematical Thinking in Computer Science: University of California San Diego
    • Algorithms: Stanford University
    • Bioinformatics Capstone: Big Data in Biology: University of California San Diego
    • Fundamentals of Computing: Rice University
    • Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming: Stanford University
    • Clinical Data Science: University of Colorado System
    • Sensor Technologies for Biomedical Applications: Indian Institute of Science
    • Chemical Biology: University of Geneva

    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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