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  • Statistical Programming Languages

Results for "statistical programming languages"


  • Status: Preview
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    É

    École Polytechnique Fédérale de Lausanne

    Parallel programming (Scala 2 version)

    Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Algorithms, Performance Tuning, Functional Design, Performance Testing, Computer Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Python and Statistics Foundations

    Skills you'll gain: Matplotlib, Data Visualization, Probability & Statistics, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Seaborn, Data Science, Programming Principles, Pandas (Python Package), Statistics, Descriptive Statistics, Data Analysis, NumPy, Probability Distribution, Exploratory Data Analysis, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Designing Larger Python Programs for Data Science

    Skills you'll gain: Python Programming, Simulations, Debugging, Pandas (Python Package), Program Development, Unit Testing, Test Case, Data Science, Development Testing, Software Design, Computational Thinking, Integration Testing, Computer Programming, Object Oriented Programming (OOP), Data Manipulation, Data Structures, Software Engineering, Systems Integration, Software Development

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Building R Packages

    Skills you'll gain: Open Source Technology, Package and Software Management, GitHub, Version Control, Rmarkdown, Software Documentation, Maintainability, Testability, R Programming, Knitr, Continuous Integration, Git (Version Control System), Technical Documentation

    4.1
    Rating, 4.1 out of 5 stars
    ·
    223 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Statistical Inference

    Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Probability, Statistics, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics), Sample Size Determination, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    4.5K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Statistical Analysis Fundamentals using Excel

    Skills you'll gain: Data Visualization, Descriptive Statistics, Regression Analysis, Forecasting, Probability Distribution, Business Analytics, Data Analysis, Statistical Analysis, Statistical Methods, Microsoft Excel, Statistics, Spreadsheet Software, Predictive Analytics, Probability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    130 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    É

    École normale supérieure

    Statistical Mechanics: Algorithms and Computations

    Skills you'll gain: Sampling (Statistics), Physics, Simulations, Computational Logic, Numerical Analysis, Markov Model, Quantitative Research, Algorithms, Applied Mathematics, Linear Algebra, Integral Calculus

    4.8
    Rating, 4.8 out of 5 stars
    ·
    267 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Programming Fundamentals

    Skills you'll gain: Programming Principles, Algorithms, C (Programming Language), Computer Programming, Problem Solving

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Introductory C Programming

    Skills you'll gain: Debugging, Programming Principles, Maintainability, Software Testing, Program Development, C (Programming Language), Algorithms, Pseudocode, Simulations, System Programming, Computer Programming, Data Structures, Software Development, Software Engineering, Command-Line Interface, Operating Systems, Development Environment, User Interface (UI), Problem Solving, Software Design

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Rust Programming

    Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), Jenkins, DevOps, Large Language Modeling, Restful API, Serverless Computing, Generative AI, Amazon Web Services, Development Testing, Software Testing, Maintainability, Command-Line Interface, Prometheus (Software), Natural Language Processing, Computer Programming, Cloud Computing

    3.9
    Rating, 3.9 out of 5 stars
    ·
    257 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Hardware Description Languages for FPGA Design

    Skills you'll gain: Field-Programmable Gate Array (FPGA), Hardware Design, Technical Design, Electronics Engineering, Electronic Hardware, Electrical and Computer Engineering, Test Case, Verification And Validation, Functional Design, Embedded Systems, Computer Engineering, Simulation and Simulation Software, Functional Testing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    620 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Michigan

    Learning Languages with AI

    Skills you'll gain: Prompt Engineering, Generative AI Agents, AI Personalization, Responsible AI, Language Competency, Language Learning, ChatGPT, Communication, Writing, Cultural Diversity

    4
    Rating, 4 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 3 Months

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

  • Parallel programming (Scala 2 version): École Polytechnique Fédérale de Lausanne
  • Python and Statistics Foundations: Edureka
  • Designing Larger Python Programs for Data Science: Duke University
  • Building R Packages: Johns Hopkins University
  • Statistical Inference: Johns Hopkins University
  • Statistical Analysis Fundamentals using Excel: IBM
  • Statistical Mechanics: Algorithms and Computations: École normale supérieure
  • Programming Fundamentals: Duke University
  • Introductory C Programming: Duke University
  • Rust Programming: Duke University

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