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  • Statistical Software R

Results for "statistical software (r)"


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Data Visualization with R

    Skills you'll gain: Rmarkdown, Tidyverse (R Package), Ggplot2, Spatial Data Analysis, Data Visualization Software, Statistical Visualization, Geospatial Information and Technology, Data Manipulation, Scatter Plots, Plotly, Interactive Data Visualization, R Programming, Data Mapping, Animations

    4.9
    Rating, 4.9 out of 5 stars
    ·
    79 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Codio

    Data Analysis in R with RStudio & Tidyverse

    Skills you'll gain: Descriptive Statistics, R (Software), Statistical Hypothesis Testing, Correlation Analysis, Tidyverse (R Package), Data Analysis, Regression Analysis, Probability & Statistics, Data Import/Export, Analytical Skills, Statistical Analysis, R Programming, Data Wrangling

    4.3
    Rating, 4.3 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    The R Programming Environment

    Skills you'll gain: Tidyverse (R Package), Web Scraping, Data Manipulation, R Programming, Data Transformation, Data Cleansing, Data Science, Big Data, Statistical Programming, Text Mining, Application Programming Interface (API)

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Statistical Analysis and Advanced Techniques

    Skills you'll gain: Regression Analysis, Statistical Analysis, Time Series Analysis and Forecasting, R Programming, Statistical Hypothesis Testing, Probability & Statistics, Trend Analysis, Statistical Modeling, R (Software), Statistics, Predictive Modeling, Generative AI, Statistical Inference, Forecasting, Descriptive Statistics, Power BI

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Genentech

    Hands On Clinical Reporting Using R

    Skills you'll gain: Clinical Data Management, Clinical Trials, Interactive Data Visualization, Drug Development, Data Presentation, R (Software), Pharmaceuticals, Shiny (R Package), Data Visualization, Statistical Reporting, Data Modeling, R Programming, Technical Communication, Data Manipulation, Statistical Programming, Data Transformation, Data Science, Data Integration

    4.6
    Rating, 4.6 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Inferential Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.8K reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Introduction to R: Basic R syntax

    Skills you'll gain: R (Software), R Programming, Arithmetic, Statistical Programming, Development Environment, Programming Principles, Data Import/Export

    4.5
    Rating, 4.5 out of 5 stars
    ·
    47 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Mastering Software Development in R Capstone

    Skills you'll gain: Software Documentation, Leaflet (Software), Technical Documentation, Data Manipulation, Data Cleansing, Data Transformation, Data Visualization Software, Code Review, R Programming, GitHub, Continuous Integration, Software Testing

    4
    Rating, 4 out of 5 stars
    ·
    44 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    R: Design & Evaluate Random Forests for Attrition

    Skills you'll gain: People Analytics, Data Validation, Data Processing, Workforce Management, Advanced Analytics

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    Duke University

    Inferenzstatistik

    Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, Statistics, Data Analysis, Probability & Statistics, Statistical Methods, Data Analysis Software, Statistical Software, R Programming, Sampling (Statistics), Probability Distribution

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Survival Analysis in R for Public Health

    Skills you'll gain: Biostatistics, Statistical Analysis, R Programming, Statistical Methods, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Probability & Statistics, Statistical Modeling, Correlation Analysis, Statistical Hypothesis Testing, Descriptive Statistics, Public Health

    4.5
    Rating, 4.5 out of 5 stars
    ·
    329 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Visualization in R with ggplot2

    Skills you'll gain: Ggplot2, Scatter Plots, Plot (Graphics), Data Visualization, Data Visualization Software, Heat Maps, R Programming, Graphical Tools, Data Wrangling, Tidyverse (R Package), Graphics Software

    4.9
    Rating, 4.9 out of 5 stars
    ·
    130 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Advanced Data Visualization with R: Johns Hopkins University
  • Data Analysis in R with RStudio & Tidyverse: Codio
  • The R Programming Environment: Johns Hopkins University
  • Statistical Analysis and Advanced Techniques: Microsoft
  • Hands On Clinical Reporting Using R: Genentech
  • Inferential Statistics: Duke University
  • Introduction to R: Basic R syntax: Coursera
  • Mastering Software Development in R Capstone: Johns Hopkins University
  • R: Design & Evaluate Random Forests for Attrition: EDUCBA
  • Inferenzstatistik: Duke University

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