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  • Statistical Software R

Results for "statistical software (r)"


  • Status: Preview
    Preview
    D

    Duke University

    R을 사용한 확률 및 데이터 소개

    Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, R (Software), R Programming, Probability & Statistics, Bayesian Statistics, Data Analysis, Probability, Statistics, Statistical Analysis, Statistical Inference

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Estimation for Data Science and AI

    Skills you'll gain: Statistical Methods, Statistical Inference, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Probability Distribution, Descriptive Statistics, Artificial Intelligence

    Build toward a degree

    4.1
    Rating, 4.1 out of 5 stars
    ·
    88 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Build and deploy a stroke prediction model using R

    Skills you'll gain: Feature Engineering, Predictive Modeling, R Programming, Data Analysis, Classification And Regression Tree (CART), Statistical Modeling, Statistical Analysis, Data Cleansing, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Application Deployment, Data Transformation, Machine Learning Methods, Interactive Data Visualization, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    24 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Variable Selection, Model Validation, Nonlinear Regression

    Skills you'll gain: Statistical Inference, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, Predictive Modeling, Advanced Analytics, Mathematical Modeling, Probability & Statistics, Data Validation, Statistical Hypothesis Testing, Probability

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Decision Tree Classifier for Beginners in R

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Predictive Modeling, Data Processing, Statistical Modeling, R Programming, Supervised Learning, Machine Learning Algorithms, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    Advanced Statistical Analysis and Tools

    Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Improvement, Lean Methodologies, Kaizen Methodology, Process Capability, Six Sigma Methodology, Risk Analysis, Quality Improvement, Process Analysis, Statistical Analysis, Statistical Methods, Risk Management, Business Process, Sample Size Determination, Data Collection, Graphing

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Developing Data Products

    Skills you'll gain: Shiny (R Package), Rmarkdown, Plotly, Interactive Data Visualization, Data Visualization, Data Presentation, Data Visualization Software, R Programming, Data Mapping, Data Science, Statistical Reporting, Web Applications, Package and Software Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.3K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Inferential Statistical Analysis with Python

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Jupyter, Python Programming, Matplotlib, NumPy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    930 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Data Science con Python e R

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Python Programming, Deep Learning, Computer Programming, Scripting Languages, Computer Vision, Keras (Neural Network Library), Machine Learning, Exploratory Data Analysis, Programming Principles, Data Management

    4.2
    Rating, 4.2 out of 5 stars
    ·
    54 reviews

    Intermediate · Specialization · 1 - 3 Months

  • P

    Packt

    Clustering and Classification with Machine Learning in R

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Exploratory Data Analysis, Classification And Regression Tree (CART), Feature Engineering, Random Forest Algorithm, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    RStudio for Six Sigma - Control Charts

    Skills you'll gain: Statistical Process Controls, Six Sigma Methodology, Quality Control, Plot (Graphics), Data Literacy, Statistical Analysis, R Programming

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Simulation of Covid-19 Testing Process Using R Simmer

    Skills you'll gain: Simulations, Visualization (Computer Graphics), Statistical Visualization, R (Software), R Programming, Statistical Modeling, Statistical Programming, Statistical Analysis, Process Analysis, Data Analysis, Test Case

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Beginner · Guided Project · Less Than 2 Hours

1…789…799

In summary, here are 10 of our most popular statistical software (r) courses

  • R을 사용한 확률 및 데이터 소개: Duke University
  • Statistical Estimation for Data Science and AI: University of Colorado Boulder
  • Build and deploy a stroke prediction model using R: Coursera
  • Variable Selection, Model Validation, Nonlinear Regression: Illinois Tech
  • Decision Tree Classifier for Beginners in R: Coursera
  • Advanced Statistical Analysis and Tools : SkillUp
  • Developing Data Products: Johns Hopkins University
  • Inferential Statistical Analysis with Python: University of Michigan
  • Data Science con Python e R: Università di Napoli Federico II
  • Clustering and Classification with Machine Learning in R: Packt

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