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Results for "tidyverse (r package)"

  • Status: Preview
    Preview
    S

    SAS

    Using SAS Viya REST APIs with Python and R

    Skills you'll gain: SAS (Software), Data Analysis Software, R (Software), Advanced Analytics, R Programming, Big Data, Image Analysis, Time Series Analysis and Forecasting, Natural Language Processing, Statistical Programming, Jupyter, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Deep Learning, Data Processing, Restful API, Computer Vision, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera Project Network

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Data Visualization, Clinical Data Management, Data Manipulation, Predictive Modeling, R Programming, Data Processing, Data Cleansing, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Statistical Modeling, Performance Tuning, Hospital Medicine

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Data Manipulation with dplyr in R

    Skills you'll gain: Data Manipulation, Tidyverse (R Package), Data Wrangling, Data Analysis, R Programming, Exploratory Data Analysis, Statistical Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Tidy Messy Data using tidyr in R

    Skills you'll gain: Ggplot2, Data Cleansing, Tidyverse (R Package), Data Wrangling, Data Transformation, Data Visualization, R Programming, Data Manipulation, Data Analysis, Data Management, Pivot Tables And Charts

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Calculating Descriptive Statistics in R

    Skills you'll gain: Descriptive Statistics, Data Analysis, Exploratory Data Analysis, Quantitative Research, R Programming, Statistical Analysis, Probability & Statistics, Statistics, Data Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    52 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • P

    Packt

    Regression Analysis for Statistics & Machine Learning in R

    Skills you'll gain: Data Cleansing, R Programming, Statistical Analysis, R (Software), Data Manipulation, Classification And Regression Tree (CART), Advanced Analytics, Statistical Modeling, Random Forest Algorithm, Statistical Methods, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    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
    ·
    366 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Case Western Reserve University

    Using R for Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Descriptive Statistics, Box Plots, Statistical Modeling, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Ggplot2, Simulations

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Visualization Capstone

    Skills you'll gain: Data Visualization, Data Visualization Software, Data Literacy, Storyboarding, Statistical Visualization, Data Storytelling, Data Manipulation, Ggplot2, Statistical Reporting, Data Wrangling, Data Analysis, Data Cleansing, R Programming, Tidyverse (R Package), Data Transformation, Data Import/Export, Rmarkdown, Graphing

    5
    Rating, 5 out of 5 stars
    ·
    34 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera Project Network

    Data Visualization using Plotnine and ggplot

    Skills you'll gain: Exploratory Data Analysis, Box Plots, Plot (Graphics), Data Visualization, Ggplot2, Data Visualization Software, Statistical Visualization, Scatter Plots, Histogram, Graphing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Data Visualization using dplyr and ggplot2 in R

    Skills you'll gain: Ggplot2, Tidyverse (R Package), Data Visualization, Data Analysis, Exploratory Data Analysis, R Programming, Data Visualization Software, Data Manipulation, R (Software)

    4.9
    Rating, 4.9 out of 5 stars
    ·
    19 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    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
    ·
    65 reviews

    Beginner · Guided Project · Less Than 2 Hours

1…789…94

In summary, here are 10 of our most popular tidyverse (r package) courses

  • Using SAS Viya REST APIs with Python and R: SAS
  • Tidymodels in R: Building tidy machine learning models: Coursera Project Network
  • Data Manipulation with dplyr in R: Coursera Project Network
  • Tidy Messy Data using tidyr in R: Coursera Project Network
  • Calculating Descriptive Statistics in R: Coursera Project Network
  • Regression Analysis for Statistics & Machine Learning in R: Packt
  • Logistic Regression in R for Public Health: Imperial College London
  • Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
  • Data Visualization Capstone: Johns Hopkins University
  • Data Visualization using Plotnine and ggplot: Coursera Project Network

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