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  • Python For Genomic Data Science

Results for "python for genomic data science"


  • G

    Google Cloud

    Computer Vision Fundamentals with Google Cloud

    Skills you'll gain: Convolutional Neural Networks, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Applied Machine Learning, Model Evaluation, Artificial Neural Networks, Deep Learning, Google Cloud Platform, Data Preprocessing, Feature Engineering, Classification Algorithms, Cloud API

    4.6
    Rating, 4.6 out of 5 stars
    ·
    548 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Top AI Program
    Top AI Program
    C

    Coursera

    Machine Learning with Scikit-learn, PyTorch & Hugging Face

    Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face

    4.6
    Rating, 4.6 out of 5 stars
    ·
    20 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • L

    Logical Operations

    PCAP: Modules, Packages, and Exception Handling

    Skills you'll gain: Package and Software Management, Program Development, Python Programming, Integrated Development Environments, Software Development, Debugging, Computer Programming, Programming Principles

    Mixed · Course · 1 - 4 Weeks

  • 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

  • U

    University of California, Santa Cruz

    Bayesian Statistics: Mixture Models

    Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Software, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Machine Learning Methods, Probability Distribution, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    62 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    IBM JavaScript Backend Developer

    Skills you'll gain: Cloud Deployment, Software Development Life Cycle, Open Web Application Security Project (OWASP), Containerization, Istio, Software Architecture, Node.JS, Application Deployment, Restful API, Kubernetes, Database Design, Cloud-Native Computing, Responsive Web Design, NoSQL, Git (Version Control System), Ajax, Grafana, Javascript, Azure DevOps, Engineering Software

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • C

    Coursera

    Embed Everything

    Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Feature Engineering, Data Preprocessing, Scikit Learn (Machine Learning Library), NumPy, Unstructured Data, Applied Machine Learning, Matplotlib, Natural Language Processing, Semantic Web, Pandas (Python Package), Dimensionality Reduction, Machine Learning Methods, Scripting, Model Evaluation, Text Mining, Data Transformation, Machine Learning, Data Visualization

    Intermediate · Course · 1 - 4 Weeks

  • A

    Arizona State University

    Factorial and Fractional Factorial Designs

    Skills you'll gain: Experimentation, Statistical Analysis, Statistical Methods, Variance Analysis, Data Analysis, Sample Size Determination, Statistical Modeling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    81 reviews

    Intermediate · Course · 1 - 4 Weeks

  • S

    SAS

    Creating Advanced Reports with SAS Visual Analytics

    Skills you'll gain: SAS (Software), Dashboard, Business Analytics, Business Reporting, Interactive Data Visualization, Data Visualization Software, Data Analysis, Advanced Analytics, Key Performance Indicators (KPIs), Statistical Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    215 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Foundations and Core Concepts of PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Deep Learning, Machine Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Data Preprocessing, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    50 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Building Agentic AI Systems

    Skills you'll gain: Agentic systems, Generative AI, Responsible AI, AI Security, AI Workflows, Artificial Intelligence, Prompt Engineering, LLM Application, LangChain, Data Ethics, Restful API, Automation, Natural Language Processing, Python Programming

    Intermediate · Course · 1 - 3 Months

  • 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
    ·
    14K reviews

    Beginner · Specialization · 3 - 6 Months

1…456457458…834

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

  • Computer Vision Fundamentals with Google Cloud: Google Cloud
  • Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
  • PCAP: Modules, Packages, and Exception Handling: Logical Operations
  • Social Media Analytics: Johns Hopkins University
  • Bayesian Statistics: Mixture Models: University of California, Santa Cruz
  • IBM JavaScript Backend Developer: IBM
  • Embed Everything: Coursera
  • Factorial and Fractional Factorial Designs: Arizona State University
  • Creating Advanced Reports with SAS Visual Analytics: SAS
  • Foundations and Core Concepts of PyTorch: Packt

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Data Mining (27)
Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

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