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  • R Tutorial

Results for "r tutorial"


  • C

    Coursera

    Introduction to R: Basic R syntax

    Skills you'll gain: 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

    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
    ·
    80 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    R: Apply & Analyze K-Means Clustering for Unsupervised ML

    Skills you'll gain: Unsupervised Learning, Customer Analysis, Applied Machine Learning, R Programming, Data Preprocessing, Statistical Machine Learning, Machine Learning, Feature Engineering, Data Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Codio

    Visualizing Data & Communicating Results in R with RStudio

    Skills you'll gain: Rmarkdown, Plot (Graphics), Ggplot2, Statistical Visualization, Box Plots, Scatter Plots, Data Visualization, Histogram, Descriptive Statistics, Data Visualization Software, Graphing, R Programming, Data Science

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of R Programming and Basic Data Manipulation

    Skills you'll gain: Rmarkdown, R (Software), Data Import/Export, R Programming, Ggplot2, Data Manipulation, Plotly, Data Visualization, Web Scraping, Interactive Data Visualization, Data Visualization Software, Data Cleansing, Data Preprocessing, Data Transformation, Statistical Programming, Programming Principles, Data Structures

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning Projects in R with Caret

    Skills you'll gain: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning, Machine Learning Algorithms, Data Manipulation, Data Mining, Exploratory Data Analysis, Data Integrity

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Using R for Regression and Machine Learning in Investment

    Skills you'll gain: Regression Analysis, Predictive Analytics, Predictive Modeling, Investment Management, Risk Analysis, Investments, R Programming, Machine Learning, Statistical Analysis, Financial Analysis, Logistic Regression, Financial Data, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Statistical Analysis with R for Public Health

    Skills you'll gain: Logistic Regression, Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Biostatistics, Model Evaluation, Exploratory Data Analysis, Statistical Analysis, R (Software), Statistics, Statistical Methods, Data Wrangling, Public Health

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Deep Learning with R: Build & Predict Neural Networks

    Skills you'll gain: Plot (Graphics), Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Modeling, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Model Evaluation, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Data Preprocessing, Performance Testing

    Mixed · 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
    ·
    19 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    R Programming for Statistics and Data Science

    Skills you'll gain: R Programming, Ggplot2, Data Visualization, Data Manipulation, Exploratory Data Analysis, Statistical Programming, Data Science, Tidyverse (R Package), Statistical Modeling, Data Analysis, Regression Analysis, Data Structures, Statistical Analysis, Descriptive Statistics, Programming Principles, Data Transformation, Probability & Statistics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    12 reviews

    Intermediate · 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, Big Data, Statistical Programming, Text Mining, Data Import/Export, Data Analysis, Data Structures, Performance Tuning, Application Programming Interface (API)

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

    Intermediate · Course · 1 - 3 Months

1…567…63

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

  • Introduction to R: Basic R syntax: Coursera
  • Advanced Data Visualization with R: Johns Hopkins University
  • R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
  • Visualizing Data & Communicating Results in R with RStudio: Codio
  • Foundations of R Programming and Basic Data Manipulation: Packt
  • Machine Learning Projects in R with Caret: EDUCBA
  • Using R for Regression and Machine Learning in Investment: Sungkyunkwan University
  • Statistical Analysis with R for Public Health: Imperial College London
  • Deep Learning with R: Build & Predict Neural Networks: EDUCBA
  • Importing Data into R: Coursera

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