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  • Dart Programming

Results for "dart programming"


  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistics and Data Analysis with R

    Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Tidyverse (R Package), Data Literacy, Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Data Structures

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Interpretable Machine Learning

    Skills you'll gain: Responsible AI, Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Predictive Modeling, Artificial Intelligence, Machine Learning, Statistical Modeling, Python Programming, Logistic Regression, Deep Learning, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Blazor for Front-End Development

    Skills you'll gain: Microsoft Copilot, User Interface and User Experience (UI/UX) Design, UI Components, Microsoft Development Tools, Performance Tuning, Front-End Web Development, Event-Driven Programming, Web Applications, Data Management, Server Side, Debugging

    4.4
    Rating, 4.4 out of 5 stars
    ·
    24 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of California, Santa Cruz

    Data-Driven Animation for Science Communication

    Skills you'll gain: Scientific Visualization, Data Literacy, Data Visualization Software, Animations, Data Presentation, Video Editing, Data Storytelling, Adobe After Effects, Graphics Software, Visualization (Computer Graphics), Storyboarding, Adobe Premiere, Peer Review, Motion Graphics, Autodesk Maya, Post-Production, Computer Graphic Techniques, Technical Communication, Style Guides, Professional Development

    4.7
    Rating, 4.7 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Statistical Methods for Computer Science

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Bayesian Network, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Statistical Methods, Social Network Analysis, Applied Mathematics, Simulations, Data Science, Markov Model

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Generalized Linear Models and Nonparametric Regression

    Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Statistical Methods, Regression Analysis, Predictive Modeling, Mathematical Modeling, Machine Learning, Logistic Regression, Statistical Inference, Model Evaluation, Probability Distribution, Linear Algebra, Calculus

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    20 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Customising your models with TensorFlow 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Data Pipelines, Keras (Neural Network Library), Transfer Learning, Deep Learning, Convolutional Neural Networks, Natural Language Processing, Embeddings, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    196 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    I

    IBM

    Introducing z/OS UNIX System Services

    Skills you'll gain: Unix Shell, Unix Commands, z/OS, Unix, File Systems, Job Control Language (JCL), Operating Systems, Command-Line Interface, OS Process Management, System Programming, File Management, Mainframe Computing, Debugging

    4.9
    Rating, 4.9 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    Duke University

    Foundations of Local Large Language models

    Skills you'll gain: Retrieval-Augmented Generation, Responsible AI, Generative AI, Cloud Deployment, LLM Application, Model Deployment, Application Deployment, Large Language Modeling, Hugging Face, Data Ethics, Prompt Engineering, Model Evaluation, Risk Management Framework, Rust (Programming Language)

    4.2
    Rating, 4.2 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to APIs in Google

    Skills you'll gain: Cloud API, JSON, Restful API, Application Programming Interface (API), Google Cloud Platform, Authentications, Network Protocols

    3.2
    Rating, 3.2 out of 5 stars
    ·
    26 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Codio

    Java: Algorithms

    Skills you'll gain: Algorithms, Data Structures, Java, Theoretical Computer Science, Computer Programming, Computational Thinking

    3.4
    Rating, 3.4 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular dart programming courses

  • Statistics and Data Analysis with R: University of Colorado Boulder
  • Interpretable Machine Learning: Duke University
  • Blazor for Front-End Development: Microsoft
  • Data-Driven Animation for Science Communication: University of California, Santa Cruz
  • Statistical Methods for Computer Science: Johns Hopkins University
  • Essential Causal Inference Techniques for Data Science: Coursera
  • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
  • Customising your models with TensorFlow 2: Imperial College London
  • Introducing z/OS UNIX System Services: IBM
  • Foundations of Local Large Language models: Duke University

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