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    Results for "shiny (r package)"

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science: Foundations using R

      Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, R (Software), Dimensionality Reduction, Data Visualization Software, Knitr, Data Sharing, GitHub, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      J

      Johns Hopkins University

      تحليل البيانات الاستكشافية

      Skills you'll gain: Exploratory Data Analysis, Statistical Visualization, Data Visualization Software, R Programming, Ggplot2, Statistical Methods, Data Analysis, Unsupervised Learning, Spatial Data Analysis, Dimensionality Reduction, Graphical Tools, Color Theory, Analytics

      Mixed · Course · 1 - 4 Weeks

    • 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

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Modeling Data in the Tidyverse

      Skills you'll gain: Exploratory Data Analysis, R Programming, Predictive Modeling, Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Data Science, Classification And Regression Tree (CART), Statistical Inference, Statistical Analysis, Rmarkdown, Statistical Methods, Probability & Statistics, Machine Learning, Descriptive Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 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

    • Status: Free
      Free
      C

      Coursera Project Network

      MLOps in R: Deploying machine learning models using vetiver

      Skills you'll gain: MLOps (Machine Learning Operations), Continuous Deployment, Application Deployment, R Programming, Dashboard, Health Informatics, Continuous Monitoring, Predictive Modeling, Statistical Machine Learning, Machine Learning Methods, Feature Engineering, Docker (Software), Data Manipulation, Application Programming Interface (API)

      Intermediate · 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

      Joining Data in R using dplyr

      Skills you'll gain: Data Cleansing, Data Manipulation, Data Integration, R Programming, Tidyverse (R Package), Data Transformation, Data Management

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Getting Started with Rstudio

      Skills you'll gain: Interactive Data Visualization, Software Installation, Package and Software Management, R Programming, Integrated Development Environments, Cloud Development, Cloud Hosting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      143 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Automate R scripts with GitHub Actions: Deploy a model

      Skills you'll gain: Analytics, R Programming, Google Sheets, Applied Machine Learning, Health Informatics, Predictive Modeling, Automation, Data Manipulation, GitHub, Gmail, Git (Version Control System)

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Building Statistical Models in R: Linear Regression

      Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Data Analysis, Statistical Methods, R Programming, Statistical Analysis, Plot (Graphics), Predictive Modeling, Ggplot2

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      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

    1…8910…91

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

    • Data Science: Foundations using R: Johns Hopkins University
    • تحليل البيانات الاستكشافية: Johns Hopkins University
    • RStudio for Six Sigma - Basic Descriptive Statistics: Coursera Project Network
    • Modeling Data in the Tidyverse: Johns Hopkins University
    • Tidymodels in R: Building tidy machine learning models: Coursera Project Network
    • MLOps in R: Deploying machine learning models using vetiver: Coursera Project Network
    • Tidy Messy Data using tidyr in R: Coursera Project Network
    • Joining Data in R using dplyr: Coursera Project Network
    • Getting Started with Rstudio: Coursera Project Network
    • Automate R scripts with GitHub Actions: Deploy a model: Coursera Project Network

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