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  • Python For Genomic Data Science

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Results for "python for genomic data science"


  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Generative AI: Fundamentals, Applications, and Challenges

    Skills you'll gain: Generative AI, Responsible AI, Data Ethics, AI Product Strategy, Artificial Intelligence, Social Impact, Governance, Data Security, Leadership and Management, Model Evaluation, Data Quality

    4.7
    Rating, 4.7 out of 5 stars
    ·
    203 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    Deep Teaching Solutions

    Learning How to Learn: Powerful mental tools to help you master tough subjects

    Skills you'll gain: Learning Strategies, Lifelong Learning, Time Management, Willingness To Learn, Productivity, Creativity, Self-Discipline, Stress Management, Self-Awareness, Adaptability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    93K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Vector Database Fundamentals

    Skills you'll gain: Vector Databases, AI Personalization, Hugging Face, MongoDB, Embeddings, NoSQL, PostgreSQL, Relational Databases, Generative AI, SQL, Databases, LLM Application, Applied Machine Learning, Database Design, Database Management, Artificial Intelligence, Apache Cassandra, Text Mining, Machine Learning, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    71 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Project: Generative AI Applications with RAG and LangChain

    Skills you'll gain: Vector Databases, LLM Application, Retrieval-Augmented Generation, Generative AI, Embeddings, Document Management, Natural Language Processing, User Interface (UI)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    215 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Front-End Developer

    Skills you'll gain: Bootstrap (Front-End Framework), Software Development Life Cycle, Cloud-Native Computing, Software Architecture, React Redux, Browser Compatibility, User Centered Design, CI/CD, Cloud Applications, Responsive Web Design, Cloud Development, NoSQL, Git (Version Control System), GitHub, Webpack, HTML and CSS, Application Development, MongoDB, Agile Methodology, Engineering Software

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.3K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM DevOps, Cloud, and Agile Foundations

    Skills you'll gain: User Story, Cloud Computing Architecture, Agile Software Development, Cloud Services, Scrum (Software Development), Cloud Deployment, Agile Methodology, Kanban Principles, DevOps, Backlogs, Cloud Security, Cloud Infrastructure, Sprint Retrospectives, Cloud Platforms, Agile Project Management, Cloud Computing, Cloud-Native Computing, Cloud Storage, CI/CD, Test Driven Development (TDD)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    Functions and Conditional Statements

    Skills you'll gain: Software Design, Computational Logic

    4.9
    Rating, 4.9 out of 5 stars
    ·
    24 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of London

    Algorithms and Complexity

    Skills you'll gain: Algorithms, Computational Thinking, Theoretical Computer Science, Programming Principles, Computational Logic, Critical Thinking and Problem Solving, Performance Testing, Computer Science, Data Structures, Critical Thinking, Logical Reasoning, Graph Theory, Complex Problem Solving, Analysis, Game Theory

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Social Media Analytics

    Skills you'll gain: Social Network Analysis, Network Analysis, Data Visualization, Graph Theory, Relational Databases, Data Visualization Software, Data Storytelling, Data Analysis, Social Sciences, Statistical Analysis, Machine Learning, R Programming, Analytical Skills, Sociology, Natural Language Processing, Data Manipulation, Text Mining, Analytics, Social Impact, Statistical Modeling

    4.3
    Rating, 4.3 out of 5 stars
    ·
    19 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Custom Models, Layers, and Loss Functions with TensorFlow

    Skills you'll gain: Tensorflow, Transfer Learning, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Artificial Neural Networks, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Machine Learning Foundations

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Dimensionality Reduction, Data Preprocessing, Python Programming, Recurrent Neural Networks (RNNs), Reinforcement Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    Y

    Yale University

    Financial Markets

    Skills you'll gain: Investment Banking, Risk Management, Financial Market, Financial Regulation, Financial Services, Finance, Business Risk Management, Securities (Finance), Financial Policy, Enterprise Risk Management (ERM), Capital Markets, Behavioral Economics, Banking, Corporate Finance, Governance, Investments, Insurance, Underwriting, Derivatives, Market Dynamics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    32K reviews

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular python for genomic data science courses

  • Generative AI: Fundamentals, Applications, and Challenges: University of Michigan
  • Learning How to Learn: Powerful mental tools to help you master tough subjects: Deep Teaching Solutions
  • Vector Database Fundamentals: IBM
  • Project: Generative AI Applications with RAG and LangChain: IBM
  • IBM Front-End Developer: IBM
  • IBM DevOps, Cloud, and Agile Foundations: IBM
  • Functions and Conditional Statements: Google
  • Algorithms and Complexity: University of London
  • Social Media Analytics: Johns Hopkins University
  • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI

Skills you can learn in Data Analysis

Analytics (85)
Big Data (64)
Python Programming (47)
Business Analytics (40)
R Programming (37)
Statistical Analysis (36)
Sql (33)
Data Model (29)
Data Mining (27)
Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

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