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Next Generation Sequencing Courses Online

Explore next-generation sequencing for genetic analysis. Learn about sequencing technologies, data interpretation, and applications in genomics.

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Explore the Next Generation Sequencing Course Catalog

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Genomic Technologies

    Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Data Analysis, Computer Science, Statistical Analysis, Computational Thinking, Biostatistics, Statistics, Software Engineering, Algorithms, Biology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.8K reviews

    Mixed · 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: Preview
    Preview
    T

    Technical University of Denmark (DTU)

    Whole genome sequencing of bacterial genomes - tools and applications

    Skills you'll gain: Bioinformatics, Molecular Biology, Microbiology, Infectious Diseases, Medical Science and Research, Data Analysis Software, Database Development, Data Pipelines, Data Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.6K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Genome Sequencing (Bioinformatics II)

    Skills you'll gain: Bioinformatics, Molecular Biology, Pharmacology, Infectious Diseases, Biotechnology, Computational Thinking, Algorithms, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    322 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Algorithms for DNA Sequencing

    Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Data Structures, Python Programming, Data Analysis, Algorithms, Life Sciences, Data Processing, Computer Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    929 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Toronto

    Data Visualization for Genome Biology

    Skills you'll gain: Scientific Visualization, Data Visualization Software, Statistical Visualization, Interactive Data Visualization, Bioinformatics, Plot (Graphics), Ggplot2, R (Software), Dimensionality Reduction, Scatter Plots, R Programming, Network Analysis, Exploratory Data Analysis, Heat Maps, Molecular Biology, Design Thinking, Statistical Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

What brings you to Coursera today?

  • 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: 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: 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
    U

    University of Illinois Urbana-Champaign

    Genomics: Decoding the Universal Language of Life

    Skills you'll gain: Life Sciences, Molecular Biology, Biotechnology, Precision Medicine, Biology, Physiology, Sustainable Development, Environmental Science, Cell Biology, Microbiology, Biomedical Engineering, Research

    4.6
    Rating, 4.6 out of 5 stars
    ·
    327 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Geneva

    Precision Medicine

    Skills you'll gain: Precision Medicine, Biostatistics, Data Ethics, Healthcare Ethics, Pharmacology, Health Informatics, Bioinformatics, Clinical Research, Biomedical Technology, Primary Care, Clinical Research Ethics, General Medicine, Oncology, Pharmaceuticals, Health Policy, Molecular Biology, Diagnostic Tests, Patient Education And Counseling, Drug Development, Informed Consent

    4.5
    Rating, 4.5 out of 5 stars
    ·
    399 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    The State University of New York

    Big Data, Genes, and Medicine

    Skills you'll gain: Bioinformatics, Big Data, Analytics, Data Mining, Health Informatics, Biomedical Technology, Data Processing, R Programming, Predictive Modeling, Statistical Analysis, Molecular Biology, Feature Engineering, Network Analysis, Unsupervised Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    285 reviews

    Advanced · Course · 1 - 3 Months

Next Generation Sequencing learners also search

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1234…129

In summary, here are 10 of our most popular next generation sequencing courses

  • Introduction to Genomic Technologies: Johns Hopkins University
  • Genomic Data Science: Johns Hopkins University
  • Whole genome sequencing of bacterial genomes - tools and applications: Technical University of Denmark (DTU)
  • Genome Sequencing (Bioinformatics II): University of California San Diego
  • Algorithms for DNA Sequencing: Johns Hopkins University
  • Data Visualization for Genome Biology: University of Toronto
  • Bioinformatics: University of California San Diego
  • Introduction to Bioinformatics: Birla Institute of Technology & Science, Pilani
  • Bioinformatics Methods for Transcriptomics: Johns Hopkins University
  • Genomics: Decoding the Universal Language of Life: University of Illinois Urbana-Champaign

Frequently Asked Questions about Next Generation Sequencing

Next-generation Sequencing refers to a number of different, modern sequencing methods or technologies used to determine an organism’s nucleotide sequence—otherwise known as the groups of molecules that form its DNA or RNA, and the order in which they fall. The “next-generation” aspect denotes quicker, cheaper sequencing, and is named as such to differentiate from older methods.

Next-generation sequencing is important so learners can utilize this biological-research imperative for medical diagnosis, biotechnology, forensic biology, virology, and other related fields. DNA and RNA sequencing have greatly accelerated biological and medical research discoveries, and skills in the technologies that enable it are considered highly valuable.‎

Since Next-Generation Sequencing is a highly sought-after skill, there is no shortage of opportunities for learners. Jobs include Field Applications Scientist, Study Manager, Business Development in Sequencing Services, Research Associate, Bioinformatics Scientist, Clinical Researcher, Biostatistician, Lab Technician, Data Scientist, Data Analyst, and others.‎

Through Coursera, learners can take courses that cover the concepts and tools to understand, analyze, and interpret data from next-generation sequencing experiments. The most common tools used in genomic data science are explored, including Python, R, Bioconductor, and Galaxy.

Lessons are designed to introduce the subject of Next-generation Sequencing, demonstrate related tools, cover the applications of the tools for various biological uses, and give learners the opportunity for hands-on learning with the tools.‎

A background in science can definitely be helpful if you're planning to learn next-generation sequencing, particular studies or work experience in biology, molecular biology, biochemistry, chemistry, and related fields. Work in a laboratory or research institution can be helpful as can any experience performing scientific experiments. A background in health care can also be beneficial if you plan to study next-generation sequencing, particularly classes, degrees, or experience with genetics, immunology, oncology, or related areas. Some computer and software skills are also useful, like proficiency in Microsoft Office, particularly the ability to use Excel and PowerPoint.‎

A career in next-generation sequencing requires excellent analytical skills. You must be a natural problem solver and troubleshooter who can think quickly on your feet, as well as someone who can learn new concepts and adapt quickly to new circumstances. Organizational skills are a must, as are good communication and interpersonal skills. You'll be working with a team in most settings that use next-generation sequencing, which means maintaining relationships and sharing information regularly. You'll also need good written communication skills, as you'll be maintaining notes, potentially applying for patents, writing presentations, and possibly writing for peer-reviewed journals. Finally, you'll need to be able to multitask in a fast-paced environment.‎

Anyone who wants a career in science and health care—but who prefers working in a lab rather directly with patients—may be suited to learn next-generation sequencing. This is especially true for anyone who is interested in genetics or for people who have a passion for helping others overcome disease through accurate diagnosing, prognostication, and therapy and treatment. Learning next-generation sequencing and working towards a career in this growing field means becoming a scientist with a lifelong passion for learning, researching, and experimenting. You'll also be learning a skill that can help you start a career in a field that pays well and has a positive outlook for the future.‎

Online Next Generation Sequencing courses offer a convenient and flexible way to enhance your knowledge or learn new Next Generation Sequencing skills. Choose from a wide range of Next Generation Sequencing courses offered by top universities and industry leaders tailored to various skill levels.‎

When looking to enhance your workforce's skills in Next Generation Sequencing, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

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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