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    123 Ergebnisse für „bioinformatics“

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      Peking University

      Advanced Neurobiology I

      Kompetenzen, die Sie erwerben: Accounting, Communication, Entrepreneurship, Probability & Statistics, Business Analysis, Data Analysis, Data Management, Market Research, Marketing, Mathematics, Research and Design, Algebra, Biostatistics, Business Communication, Business Psychology, Experiment, Human Resources, Market Analysis, Accounting Software, Applied Mathematics, Behavioral Economics, Benefits, Big Data, Bioinformatics, Business Process Management, Calculus, Clinical Data Management, Computer Architecture, Corporate Accouting, Data Analysis Software, Financial Analysis, General Accounting, Hardware Design, Human Learning, Marketing Management, Spreadsheet Software, Statistical Analysis, Strategy and Operations, Training, Writing

      4.1

      (531 Bewertungen)

      Intermediate · Course · 1-3 Months

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      Korea Advanced Institute of Science and Technology(KAIST)

      Basic Principles of Cell Signaling

      Kompetenzen, die Sie erwerben: Probability & Statistics, Bioinformatics, Deep Learning, Epidemiology, Machine Learning

      4.8

      (42 Bewertungen)

      Beginner · Course · 1-3 Months

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      Johns Hopkins University

      Command Line Tools for Genomic Data Science

      Kompetenzen, die Sie erwerben: Bioinformatics, Probability & Statistics, Computer Programming, Computer Programming Tools, Other Programming Languages, Data Analysis

      4.0

      (522 Bewertungen)

      Mixed · Course · 1-4 Weeks

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      University of California San Diego

      Genomic Data Science and Clustering (Bioinformatics V)

      Kompetenzen, die Sie erwerben: Bioinformatics, Probability & Statistics, Algorithms, Business Psychology, Theoretical Computer Science

      4.2

      (87 Bewertungen)

      Beginner · Course · 1-4 Weeks

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      University of California San Diego

      Molecular Evolution (Bioinformatics IV)

      Kompetenzen, die Sie erwerben: Bioinformatics, Probability & Statistics, Theoretical Computer Science, Algorithms, Microsoft Excel

      4.6

      (75 Bewertungen)

      Beginner · Course · 1-3 Months

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      University of California San Diego

      Genome Sequencing (Bioinformatics II)

      Kompetenzen, die Sie erwerben: Bioinformatics, Probability & Statistics, Graph Theory, Mathematics

      4.6

      (298 Bewertungen)

      Beginner · Course · 1-3 Months

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      University of California San Diego

      Comparing Genes, Proteins, and Genomes (Bioinformatics III)

      Kompetenzen, die Sie erwerben: Bioinformatics, Algorithms, Graph Theory, Mathematics, Theoretical Computer Science, Combinatorics, Communication, Journalism

      4.7

      (126 Bewertungen)

      Beginner · Course · 1-3 Months

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      University of California San Diego

      Finding Mutations in DNA and Proteins (Bioinformatics VI)

      Kompetenzen, die Sie erwerben: Bioinformatics, Probability & Statistics, Marketing

      4.7

      (57 Bewertungen)

      Beginner · Course · 1-3 Months

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      University of Toronto

      Plant Bioinformatics Capstone

      Kompetenzen, die Sie erwerben: Bioinformatics, Probability & Statistics

      4.8

      (24 Bewertungen)

      Intermediate · Course · 1-3 Months

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      University of California San Diego

      Bioinformatics Capstone: Big Data in Biology

      Kompetenzen, die Sie erwerben: Bioinformatics, Communication, Customer Support, Probability & Statistics, Supply Chain and Logistics

      3.8

      (24 Bewertungen)

      Beginner · Course · 1-4 Weeks

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      IBM Skills Network

      IBM Applied DevOps Engineering

      Kompetenzen, die Sie erwerben: DevOps, Software Engineering, Cloud Computing, Kubernetes, Strategy and Operations, Continuous Integration, Agile Software Development, Continuous Delivery, Security Engineering, Software Testing, Software Security, Devops Tools, Leadership and Management, IBM Cloud, Project Management, Scrum (Software Development), Operating Systems, Operations Management, Security Software, Supply Chain and Logistics, Theoretical Computer Science, Computer Programming, Cloud Applications, Docker (Software), Software Architecture, Supply Chain Systems, Statistical Programming, System Security, Algorithms, Bioinformatics, Cloud Engineering, Computer Architecture, Design and Product, Distributed Computing Architecture, Entrepreneurship, Full-Stack Web Development, Planning, Probability & Statistics, Product Design, Python Programming, Web Development, Application Development, Business Analysis, Computer Networking, Data Management, Data Visualization, Data Visualization Software, Databases, Network Security, Programming Principles, SQL, Security Strategy, Software As A Service, Software Framework, System Programming, Systems Design, Cloud Platforms, Collaboration, Communication, Journalism, Product Development, Software Engineering Tools

      4.7

      (2.4k Bewertungen)

      Intermediate · Professional Certificate · 3-6 Months

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      Google Cloud

      Preparing for Google Cloud Certification: Cloud Security Engineer

      Kompetenzen, die Sie erwerben: Cloud Computing, Computer Networking, Security Engineering, Cloud Platforms, Google Cloud Platform, Network Security, Web Development, Mathematics, Network Analysis, Full-Stack Web Development, Software Security, System Security, Computer Architecture, Android Development, Mobile Development, Cloud Storage, Distributed Computing Architecture, Finance, Google App Engine, Kubernetes, Cloud Infrastructure, Cloud Load Balancing, Operations Management, Regulations and Compliance, Security Strategy, Strategy and Operations, Operating Systems, Billing & Invoicing, Accounting, Audit, Bioinformatics, Cloud API, Cloud Engineering, Cloud Management, Computer Graphic Techniques, Computer Graphics, Continuous Delivery, Continuous Integration, Cryptography, Cyberattacks, DevOps, Entrepreneurship, Machine Learning, Market Research, Probability & Statistics, Research and Design, Software As A Service, Software Engineering, Software Testing, Theoretical Computer Science, Big Data, Cloud Applications, Computer Security Incident Management, Computer Security Models, Data Management, Databases, Extract, Transform, Load, Machine Learning Software, Network Model, Security Software

      4.7

      (47.8k Bewertungen)

      Intermediate · Professional Certificate · 3-6 Months

    Suchanfragen mit Bezug zu bioinformatics

    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
    bacterial bioinformatics
    plant bioinformatics
    plant bioinformatics capstone
    genome sequencing (bioinformatics ii)
    molecular evolution (bioinformatics iv)
    1…456…11

    Zusammenfassend sind hier 10 unserer beliebtesten bioinformatics Kurse

    • Advanced Neurobiology I: Peking University
    • Basic Principles of Cell Signaling: Korea Advanced Institute of Science and Technology(KAIST)
    • Command Line Tools for Genomic Data Science: Johns Hopkins University
    • Genomic Data Science and Clustering (Bioinformatics V): University of California San Diego
    • Molecular Evolution (Bioinformatics IV): University of California San Diego
    • Genome Sequencing (Bioinformatics II): University of California San Diego
    • Comparing Genes, Proteins, and Genomes (Bioinformatics III): University of California San Diego
    • Finding Mutations in DNA and Proteins (Bioinformatics VI): University of California San Diego
    • Plant Bioinformatics Capstone: University of Toronto
    • Bioinformatics Capstone: Big Data in Biology: University of California San Diego

    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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