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    103 Ergebnisse für „bioinformatics“

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      Johns Hopkins University

      Genomic Data Science

      Kompetenzen, die Sie erwerben: Advertising, Algorithms, Amazon Web Services, Analysis, Big Data, Bioinformatics, Biology, Business Analysis, Cloud Applications, Cloud Computing, Cloud Platforms, Communication, Computer Graphics, Computer Programming, Computer Programming Tools, Data Analysis, Data Analysis Software, Data Management, Data Visualization, General Statistics, Graphics Software, Marketing, Other Programming Languages, Probability & Statistics, Python Programming, R Programming, Software Engineering, Statistical Analysis, Statistical Programming, Statistical Tests, Theoretical Computer Science

      4.5

      (5.5k Bewertungen)

      Intermediate · Specialization · 3-6 Months

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      University of California San Diego

      Bioinformatics

      Kompetenzen, die Sie erwerben: Algorithms, Bioinformatics, Business Psychology, Combinatorics, Communication, Computational Thinking, Computer Programming, Customer Support, Entrepreneurship, Graph Theory, Leadership and Management, Mathematics, Probability & Statistics, Problem Solving, Research and Design, Supply Chain and Logistics, Theoretical Computer Science

      4.3

      (1.1k Bewertungen)

      Beginner · Specialization · 3-6 Months

    • Kostenlos

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      University of California San Diego

      Biology Meets Programming: Bioinformatics for Beginners

      Kompetenzen, die Sie erwerben: Python Programming, Bioinformatics, Biology, Algorithms, Statistical Programming, Theoretical Computer Science, Computer Programming, Probability & Statistics

      4.2

      (1.3k Bewertungen)

      Beginner · Course · 1-4 Weeks

    • Kostenlos

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      Peking University

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

      Kompetenzen, die Sie erwerben: Machine Learning, Bioinformatics, Algorithms, Theoretical Computer Science, Markov Model, Probability & Statistics

      4.4

      (213 Bewertungen)

      Mixed · Course · 3-6 Months

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      University of Toronto

      Plant Bioinformatic Methods

      Kompetenzen, die Sie erwerben: Agile Software Development, Algorithms, Analysis, Bioinformatics, Data Management, Data Structures, Data Visualization, Databases, General Statistics, Probability & Statistics, Research and Design, Software Engineering, Statistical Visualization, Theoretical Computer Science

      4.7

      (1.9k Bewertungen)

      Beginner · Specialization · 3-6 Months

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      Johns Hopkins University

      Introduction to Genomic Technologies

      Kompetenzen, die Sie erwerben: Theoretical Computer Science, Biology, Software Engineering, Bioinformatics, Business Analysis, Statistical Tests, Algorithms, Data Analysis, Statistical Analysis, Probability & Statistics, General Statistics, Computer Programming, Analysis

      4.6

      (4k Bewertungen)

      Mixed · Course · 1-4 Weeks

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      University of Toronto

      Bioinformatic Methods I

      Kompetenzen, die Sie erwerben: Theoretical Computer Science, Data Structures, Data Management, Databases, Bioinformatics, Algorithms, Analysis, Probability & Statistics

      4.7

      (1.6k Bewertungen)

      Beginner · Course · 1-3 Months

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      Kostenlos

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      Technical University of Denmark (DTU)

      Whole genome sequencing of bacterial genomes - tools and applications

      Kompetenzen, die Sie erwerben: Probability & Statistics, Bioinformatics, Analysis, Databases

      4.6

      (1.2k Bewertungen)

      Beginner · Course · 1-3 Months

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      Kostenlos

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      University of Virginia

      Bacterial Bioinformatics

      Kompetenzen, die Sie erwerben: Probability & Statistics, Genetics, Bioinformatics, Analysis

      4.6

      (81 Bewertungen)

      Intermediate · Course · 1-3 Months

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      Johns Hopkins University

      Data Visualization & Dashboarding with R

      Kompetenzen, die Sie erwerben: Computer Graphics, Computer Programming, Data Management, Data Visualization, Human Computer Interaction, Interactive Data Visualization, Interactive Design, Plot (Graphics), Programming Principles, Project Management, R Programming, Spatial Analysis, Statistical Programming, Strategy and Operations

      4.8

      (238 Bewertungen)

      Beginner · Specialization · 3-6 Months

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      Yale University

      Health Informatics MasterTrack® Certificate

      Credits angeboten

      Mastertrack · 6-12 Months

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      The State University of New York

      Big Data, Genes, and Medicine

      Kompetenzen, die Sie erwerben: Basic Descriptive Statistics, Bioinformatics, Data Analysis, Probability & Statistics

      4.2

      (245 Bewertungen)

      Advanced · Course · 1-3 Months

    Suchanfragen mit Bezug zu bioinformatics

    bioinformatics specialization
    bioinformatics: introduction and methods 生物信息学: 导论与方法
    bioinformatics capstone: big data in biology
    plant bioinformatics
    bacterial bioinformatics
    access bioinformatics databases with biopython
    plant bioinformatics capstone
    genome sequencing (bioinformatics ii)
    1234…9

    Zusammenfassend sind hier 10 unserer beliebtesten bioinformatics Kurse

    • Genomic Data Science: Johns Hopkins University
    • Bioinformatics: University of California San Diego
    • Biology Meets Programming: Bioinformatics for Beginners: University of California San Diego
    • Bioinformatics: Introduction and Methods 生物信息学: 导论与方法: Peking University
    • Plant Bioinformatic Methods: University of Toronto
    • Introduction to Genomic Technologies: Johns Hopkins University
    • Bioinformatic Methods I: University of Toronto
    • Whole genome sequencing of bacterial genomes - tools and applications: Technical University of Denmark (DTU)
    • Bacterial Bioinformatics: University of Virginia
    • Data Visualization & Dashboarding with R: Johns Hopkins University

    Häufig gestellte Fragen zum Thema Bioinformatik

    • 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.‎

    Diese häufig gestellten Fragen dienen nur zu Informationszwecken. Den Lernenden wird empfohlen, eingehender zu recherchieren, ob Kurse und andere angestrebte Qualifikationen wirklich ihren persönlichen, beruflichen und finanziellen Vorstellungen entsprechen.
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