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    • Dplyr

    Dplyr Courses Online

    Master Dplyr for data manipulation in R. Learn to transform, filter, and summarize datasets using this powerful R package.

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    Explore the Dplyr Course Catalog

    • C

      Coursera Project Network

      Exploratory Data Analysis With Python and Pandas

      Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, Data Manipulation, NumPy, Statistical Analysis, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      440 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      P

      Packt

      NumPy, Matplotlib & Pandas – Data Science Prerequisites

      Skills you'll gain: NumPy, Pandas (Python Package), Data Manipulation, Scatter Plots, Jupyter, Data Visualization Software, Machine Learning, Data Science, Data Import/Export, Classification And Regression Tree (CART), Probability Distribution, Linear Algebra, Regression Analysis

      Beginner · 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

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Building R Packages

      Skills you'll gain: Open Source Technology, Package and Software Management, GitHub, Version Control, Rmarkdown, Software Documentation, Maintainability, Testability, R Programming, Knitr, Continuous Integration, Git (Version Control System), Technical Documentation

      4.1
      Rating, 4.1 out of 5 stars
      ·
      223 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
      ·
      79 reviews

      Mixed · Course · 1 - 4 Weeks

    • 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
      ·
      328 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Python Packages for Data Science

      Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Data Visualization, Data Manipulation, Data Science, Histogram, Package and Software Management, Data Import/Export, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      74 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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

    • C

      Coursera Project Network

      Logistic Regression with NumPy and Python

      Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Exploratory Data Analysis, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Python Programming, Supervised Learning, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      394 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      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: Preview
      Preview
      E

      Emory University

      Reproducible Templates for Analysis and Dissemination

      Skills you'll gain: Rmarkdown, Collaborative Software, Technical Documentation, Document Management, Technical Writing, Data Sharing, R (Software), R Programming, YAML, Hypertext Markup Language (HTML), File Management, Cascading Style Sheets (CSS), Version Control

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19 reviews

      Beginner · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular dplyr courses

    • Exploratory Data Analysis With Python and Pandas: Coursera Project Network
    • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
    • Variable Selection, Model Validation, Nonlinear Regression: Illinois Tech
    • Building R Packages: Johns Hopkins University
    • Advanced Data Visualization with R: Johns Hopkins University
    • Survival Analysis in R for Public Health: Imperial College London
    • Tidy Messy Data using tidyr in R: Coursera Project Network
    • Python Packages for Data Science: University of Colorado Boulder
    • Using SAS Viya REST APIs with Python and R: SAS
    • Logistic Regression with NumPy and Python: Coursera Project Network

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