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  • Biostatistics R

Results for "biostatistics r"


  • Status: Free Trial
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    I

    Imperial College London

    Logistic Regression in R for Public Health

    Skills you'll gain: Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, Statistics, R Programming, Predictive Modeling, Statistical Analysis, Feature Engineering, Probability & Statistics, Data Wrangling, Statistical Inference, R (Software), Data Cleansing, Public Health

    4.8
    Rating, 4.8 out of 5 stars
    ·
    367 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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: 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

    Importing Data into R

    Skills you'll gain: Web Scraping, Relational Databases, Statistical Software, Data Import/Export, R Programming, MySQL, Data Capture, Microsoft Excel

    4.6
    Rating, 4.6 out of 5 stars
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    19 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Visualization and Transformation with R

    Skills you'll gain: Exploratory Data Analysis, Ggplot2, Data Visualization Software, Tidyverse (R Package), Data Visualization, Version Control, Data Analysis, Statistical Methods, Data Wrangling, R Programming, GitHub, Data Transformation, Statistical Analysis, Git (Version Control System), Data Manipulation, Statistical Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Interventions and Calibration

    Skills you'll gain: Mathematical Modeling, Epidemiology, Infectious Diseases, Statistical Modeling, Data Modeling, R Programming, Differential Equations, Statistical Methods, Public Health, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    56 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    R 프로그래밍

    Skills you'll gain: R Programming, Statistical Programming, Statistical Analysis, Data Analysis Software, Debugging, Software Installation, Simulations, Integrated Development Environments, Programming Principles, Data Manipulation, Program Development, Data Import/Export, Performance Tuning

    Intermediate · 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
    I

    Illinois Tech

    Linear Regression

    Skills you'll gain: Regression Analysis, R Programming, R (Software), Statistical Methods, Statistical Inference, Data Analysis, Statistical Analysis, Predictive Modeling, Statistics, Probability & Statistics, Linear Algebra

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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
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    79 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    RStudio for Six Sigma - Basic Descriptive Statistics

    Skills you'll gain: Sampling (Statistics), Statistical Methods, Descriptive Statistics, Statistical Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, R (Software), Box Plots, R Programming, Data Synthesis, Probability Distribution, Probability & Statistics, Exploratory Data Analysis, Statistics, Statistical Hypothesis Testing, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    67 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Using Descriptive Statistics to Analyze Data in R

    Skills you'll gain: Descriptive Statistics, R Programming, Statistical Reporting, Data Quality, Data Cleansing, Statistics, Data Manipulation, Data Analysis Software, Statistical Analysis, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    93 reviews

    Beginner · Guided Project · Less Than 2 Hours

Searches related to biostatistics r

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1…678…59

In summary, here are 10 of our most popular biostatistics r courses

  • Logistic Regression in R for Public Health: Imperial College London
  • The R Programming Environment: Johns Hopkins University
  • Variable Selection, Model Validation, Nonlinear Regression: Illinois Tech
  • Importing Data into R: Coursera
  • Data Visualization and Transformation with R: Duke University
  • Interventions and Calibration: Imperial College London
  • R 프로그래밍: Johns Hopkins University
  • Data Analysis in R with RStudio & Tidyverse: Codio
  • Linear Regression: Illinois Tech
  • Advanced Data Visualization with R: Johns Hopkins University

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