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    • Bioinformatics

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    123 results for "bioinformatics"

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      University of California San Diego

      Bioinformatics

      Skills you'll gain: Bioinformatics, Probability & Statistics, Theoretical Computer Science, Algorithms, Computer Programming, Graph Theory, Mathematics, Computational Thinking, Entrepreneurship, Leadership and Management, Problem Solving, Research and Design, Combinatorics, Business Psychology, Communication, Customer Support, Journalism, Marketing, Microsoft Excel, Supply Chain and Logistics

      4.3

      (1.1k reviews)

      Beginner · Specialization · 3-6 Months

    • Free

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      University of California San Diego

      Biology Meets Programming: Bioinformatics for Beginners

      Skills you'll gain: Bioinformatics, Computer Programming, Probability & Statistics, Python Programming, Statistical Programming, Algorithms, Theoretical Computer Science

      4.2

      (1.4k reviews)

      Beginner · Course · 1-4 Weeks

    • Free

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      Peking University

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

      Skills you'll gain: Bioinformatics, Probability & Statistics, Algorithms, Theoretical Computer Science, Databases, Human Computer Interaction, Machine Learning, Markov Model, User Experience

      4.4

      (238 reviews)

      Mixed · Course · 3-6 Months

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      Johns Hopkins University

      Genomic Data Science

      Skills you'll gain: Probability & Statistics, Bioinformatics, Computer Programming, Statistical Programming, Python Programming, Data Analysis, R Programming, Theoretical Computer Science, Algorithms, Business Analysis, General Statistics, Statistical Analysis, Data Analysis Software, Computer Programming Tools, Biostatistics, Other Programming Languages, Software Engineering, Big Data, Data Management, Data Visualization, Amazon Web Services, Cloud Applications, Cloud Computing, Cloud Platforms, Statistical Tests, Basic Descriptive Statistics, Computational Thinking, Exploratory Data Analysis, Human Computer Interaction, Software Architecture, User Experience, Accounting, Advertising, Communication, Computer Graphics, Financial Analysis, Graphics Software, Marketing

      4.5

      (5.9k reviews)

      Intermediate · Specialization · 3-6 Months

    • Free

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      University of Virginia

      Bacterial Bioinformatics

      Skills you'll gain: Bioinformatics, Probability & Statistics

      4.7

      (116 reviews)

      Intermediate · Course · 1-3 Months

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      University of Toronto

      Bioinformatic Methods I

      Skills you'll gain: Bioinformatics, Probability & Statistics, Algorithms, Data Management, Data Structures, Databases, Theoretical Computer Science

      4.7

      (1.6k reviews)

      Beginner · Course · 1-3 Months

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      Johns Hopkins University

      Introduction to Genomic Technologies

      Skills you'll gain: Probability & Statistics, Bioinformatics, Data Analysis, Business Analysis, General Statistics, Statistical Analysis, Algorithms, Computer Programming, Software Engineering, Statistical Tests, Theoretical Computer Science

      4.6

      (4.2k reviews)

      Mixed · Course · 1-4 Weeks

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      University of California San Diego

      Genomic Data Science and Clustering (Bioinformatics V)

      Skills you'll gain: Bioinformatics, Probability & Statistics, Algorithms, Business Psychology, Theoretical Computer Science

      4.2

      (88 reviews)

      Beginner · Course · 1-4 Weeks

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      Johns Hopkins University

      Python for Genomic Data Science

      Skills you'll gain: Python Programming, Computer Programming, Statistical Programming, Basic Descriptive Statistics, Computational Thinking, Data Analysis, Exploratory Data Analysis, Bioinformatics, Probability & Statistics

      4.3

      (1.6k reviews)

      Mixed · Course · 1-4 Weeks

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      Coursera Project Network

      Access Bioinformatics Databases with Biopython

      Skills you'll gain: Bioinformatics, Computer Programming, Probability & Statistics, Python Programming, Statistical Programming

      4.6

      (20 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

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      Johns Hopkins University

      Statistics for Genomic Data Science

      Skills you'll gain: Business Analysis, Data Analysis, General Statistics, Probability & Statistics, R Programming, Statistical Analysis, Statistical Programming, Bioinformatics, Biostatistics, Big Data, Data Management, Data Visualization, Accounting, Advertising, Communication, Computer Graphics, Financial Analysis, Graphics Software, Marketing

      4.2

      (332 reviews)

      Mixed · Course · 1-4 Weeks

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      University of California San Diego

      Genome Sequencing (Bioinformatics II)

      Skills you'll gain: Bioinformatics, Probability & Statistics, Graph Theory, Mathematics

      4.6

      (299 reviews)

      Beginner · Course · 1-3 Months

    Searches related to bioinformatics

    bioinformatics: introduction and methods 生物信息学: 导论与方法
    bioinformatics capstone: big data in biology
    bacterial bioinformatics
    plant bioinformatics
    access bioinformatics databases with biopython
    plant bioinformatics capstone
    genome sequencing (bioinformatics ii)
    molecular evolution (bioinformatics iv)
    1234…11

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


      Frequently Asked Questions about Bioinformatics

      • For anyone interested in pursuing a career in bioinformatics, some of the best free courses they can access are Introduction to Bioinformatics, Whole Genome Sequencing of Bacteria, Bioinformatics Algorithms Part 1, Metagenomics: Analysis of Genetic Material from Environmental Samples and Data-Driven Models for Precision Medicine. These courses offer a great introductory to advanced understanding, providing learners with the fundamentals in bioinformatics.‎

      • For those just starting out in bioinformatics, Coursera offers several great courses to get you started. The Bioinformatics Specialization provides an in-depth understanding of the essentials of bioinformatics. For a more targeted approach, Bioinformatics Methods 1 and Bioinformatics Methods 2 focus on the application of bioinformatics tools to analyze genomic data. Plant Bioinformatics Methods is a great resource for those interested in working with plant genomics and DNA Analysis provides an introduction to analyzing DNA sequences.‎

      • If you're looking to gain more advanced knowledge in the area of bioinformatics, some of the best courses are Genomic Data Science Specialization, Accessing Bioinformatics Databases with BioPython, Data, Genes, and Medicine, Systems Biology Specialization and Plant Bioinformatics.‎

      • Bioinformatics illustrate a unique interdisciplinary approach to computing in modern biology. They combine Computer Science, Information Engineering, Mathematics, and Statistics to analyze and interpret biological data. Computer programming methodologies, such as Python, are applied in Bioinformatics for the purpose of managing the structure, function, evolution, mapping, and editing of genomes—or, an organism’s complete set of DNA.

        Bioinformatics are critical to understanding normal versus abnormal genomes, and are even said to have sparked a revolution in medical discoveries. That is likely because Bioinformatics enables learners to leverage data and information from genomic datasets, helping to identify the genetic basis for diseases and providing a clearer path to finding treatments.‎

      • As big data proliferates in all fields, many new job opportunities lie in Data Science and Bioinformatics. Career opportunities start at Bioinformatician and branch out into careers in Bioengineering, Computational Science, Software Engineering, Machine Learning, Mathematics, Statistics, Molecular Biology, Biochemistry, Information Technology, Clinical Research, and other fields that heavily rely on information derived from genomes.‎

      • Learners interested in Bioinformatics will find hands-on courses that put them at the center of genome-related challenges.

        Covering the basics, you’ll investigate DNA replication, the role of DNA patterns, and other ways to garner information from DNA. Methodologies you can explore include multiple sequence alignments, phylogenetics, gene expression data analysis, protein interaction networks, and more.

        Learners can also experience real-life Bioinformatics scenarios within scientific settings. You'll discover algorithms for solving various biological problems, and take on assignments designed to help you implement these algorithms in Python.

        Successful learners will be able to address many questions in modern biology that need a computational approach in order to be answered.‎

      • A background in biology, math, or programming can be useful in the study of bioinformatics. Coursework in biology, specifically molecular biology, can help you understand some of the terms you will encounter as you learn bioinformatics. You'll likely find some knowledge of basic calculus and linear algebra as well as descriptive and inferential statistics beneficial for learning and practicing bioinformatics analysis methods. Additionally, experience with database management or using a programming language like Python, R, or Java may also be useful as you explore bioinformatics methods and tools researchers use in their work.‎

      • People working in the field of bioinformatics come from diverse backgrounds, but what they have in common is a passion for analyzing data and a desire to understand the role of DNA in medicine. Some start their careers as computer scientists who decide to apply their skills to the study of molecular biology. Others are biologists who want to take a more active role in the analysis of laboratory discoveries. Many of them enter the field because it combines their interest in data science, programming, and biology. They typically thrive in environments where they learn new information and have a chance to apply their discoveries to real-world issues.‎

      • If you're fascinated by the natural world and enjoy discovering what makes people tick on a molecular level, then learning bioinformatics may be right for you. You'll be able to take a closer look at topics like DNA and RNA sequencing, protein interaction networks, and epigenetic patterns. Learning bioinformatics can help prepare you for a career shift if you already have a background in computer science or programming and want to apply it to research used to treat diseases like cancer. Bioinformatics is a broad field, so you have an opportunity to develop and enhance your skills that can be used in a variety of settings and roles, from laboratories to data warehouses.‎

      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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