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  • Python For Genomic Data Science

Results for "python for genomic data science"


  • Status: Preview
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    S

    Stanford University

    Cryptography I

    Skills you'll gain: Cryptography, Data Encryption Standard, Encryption, Key Management, Advanced Encryption Standard (AES), Public Key Cryptography Standards (PKCS), Cybersecurity, Authentications, Data Integrity, Secure Coding, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.5K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - 日本語版

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Applied Machine Learning, Continuous Deployment, Automation, Continuous Integration, Continuous Monitoring, Scalability, Data Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    JavaScript Programming with React, Node & MongoDB

    Skills you'll gain: Node.JS, React Redux, Restful API, React.js, Back-End Web Development, Ajax, MongoDB, NoSQL, Server Side, Full-Stack Web Development, Javascript, JavaScript Frameworks, Front-End Web Development, Data Structures, Debugging, Authentications, Cloud Applications, Scalability, JSON, Application Deployment

    4.4
    Rating, 4.4 out of 5 stars
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    1.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Octave Machine Learning: Apply, Analyze & Build

    Skills you'll gain: Scalability, Time Series Analysis and Forecasting, Predictive Modeling, Programming Principles, Data Import/Export, Exploratory Data Analysis, Scripting, Statistical Analysis, Data Analysis, Data Processing, Data Manipulation, Applied Machine Learning, File Management, Mathematical Software

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Combinatorics and Probability

    Skills you'll gain: Combinatorics, Probability, Probability Distribution, Algorithms, Bayesian Statistics, Mathematical Modeling, Statistics, Arithmetic, Python Programming, Simulations

    4.6
    Rating, 4.6 out of 5 stars
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    865 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    P

    Packt

    Building Applications with Blazor Server & WASM

    Skills you'll gain: ASP.NET, Application Programming Interface (API), Web Applications, Full-Stack Web Development, Restful API, OAuth, UI Components, Back-End Web Development, Application Frameworks, Event-Driven Programming, User Interface (UI), Data Management, Data Modeling, Data Validation, Debugging

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

    Skills you'll gain: Algorithms, Graph Theory, Theoretical Computer Science, Computational Thinking, Data Structures, Pseudocode, Operations Research

    4.8
    Rating, 4.8 out of 5 stars
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    828 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of Washington

    머신 러닝 기초: 사례 연구 접근 방식

    Skills you'll gain: Regression Analysis, Jupyter, Machine Learning Software, Applied Machine Learning, Image Analysis, Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Predictive Analytics, Deep Learning, Supervised Learning, Artificial Intelligence, Computer Vision, Unsupervised Learning, Text Mining, Natural Language Processing

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cloud Computing Concepts, Part 1

    Skills you'll gain: Distributed Computing, NoSQL, Apache Cassandra, Cloud Computing, Systems Design, Data Storage Technologies, Apache Hadoop, Database Theory, Algorithms, Theoretical Computer Science, Scalability, C++ (Programming Language), Network Protocols

    4.3
    Rating, 4.3 out of 5 stars
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    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    D

    DeepLearning.AI

    Modèles de séquence

    Skills you'll gain: Natural Language Processing, Deep Learning, Generative AI, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Algorithms, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Software Design and Architecture

    Skills you'll gain: Software Architecture, Model View Controller, Unified Modeling Language, Object Oriented Design, Service Oriented Architecture, API Design, Systems Architecture, Web Services, Software Design Patterns, Software Design, Simple Object Access Protocol (SOAP), Microservices, Restful API, Software Design Documents, Software Visualization, Code Review, Solution Architecture, Object Oriented Programming (OOP), Java, Software Development

    4.6
    Rating, 4.6 out of 5 stars
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    4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Version Control

    Skills you'll gain: Version Control, Unix Commands, Git (Version Control System), GitHub, Linux Commands, Software Versioning, Command-Line Interface, Linux, Collaborative Software, File Management, Software Development Tools, Software Development, Web Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.8K reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Cryptography I: Stanford University
  • Machine Learning Operations (MLOps): Getting Started - 日本語版: Google Cloud
  • JavaScript Programming with React, Node & MongoDB: IBM
  • Octave Machine Learning: Apply, Analyze & Build: EDUCBA
  • Combinatorics and Probability: University of California San Diego
  • Building Applications with Blazor Server & WASM: Packt
  • Shortest Paths Revisited, NP-Complete Problems and What To Do About Them: Stanford University
  • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
  • Cloud Computing Concepts, Part 1: University of Illinois Urbana-Champaign
  • Modèles de séquence: DeepLearning.AI

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Analytics (85)
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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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