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Learn dplyr, earn certificates with paid and free online courses from University of Michigan, Duke, CU Boulder and other top universities around the world. Read reviews to decide if a class is right for you.
Master advanced data manipulation techniques in R using dplyr's powerful functions for filtering, selecting, mutating, summarizing, and chaining operations to create efficient data analysis workflows.
Master data manipulation techniques in R using dplyr to filter, select, summarize, group, mutate, and reshape datasets effectively for advanced data analysis and transformation.
Learn advanced dplyr techniques for feature engineering, including imputing missing values, creating new columns, and combining datasets. Master data manipulation skills to enhance your R programming toolkit.
Master essential data manipulation techniques using dplyr functions like select, filter, mutate, group_by and summarise to efficiently clean and transform your datasets in R programming.
Master data analytics through R programming, from basic syntax to advanced visualization techniques and interactive Shiny apps. Build practical projects while learning data wrangling, SQL integration, and powerful graphics libraries.
Learn to combine data across multiple tables to answer more complex questions with dplyr.
Equip yourself with R programming skills to analyze public sector data, informing policy decisions and administrative functions through data manipulation, visualization, and interpretation.
Learn how to use R for data science, from data manipulation to machine learning. Gain the career-building skills you need to succeed in data science!
Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.
Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.
In this course you'll learn how to perform inference using linear models.
Learn R for data science by wrangling, visualizing, and modeling political data like polls and election results.
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.
Take the pain out of data manipulation using dplyr and tidyr. Learn how to transform, sort, and filter your data, ready for quick analysis.
Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.
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