R Programming
Learn about fundamental data types, logic, and how to create your own functions using the R language.
Learn about fundamental data types, logic, and how to create your own functions using the R language.
with R
Learn how to parse data from flat files, statistical software, databases, websites, and more.
with R
Master advanced concepts in data manipulation using powerful tools like dplyr and data.table.
with R
A Data Analyst collects, processes, and creates visualizations in order to gain insights from complex data sets.
with R
Communicate the most important features of your data by creating beautiful visualizations using ggplot2 and base R graphics.
An R Developer uses their programming skills to wrangle data and build tools for data analysis.
with R
Learn the key statistical concepts and techniques used by statisticians and data scientists every day.
in R
Predict categorical and numeric responses via classification and regression, and discover the hidden structure of datasets with unsupervised learning.
with R
A Data Scientist combines statistical and machine learning techniques with R programming to analyze and interpret complex data.
with R
Import and tidy data, wrangle and visualize data, and model and communicate with data in R with the tidyverse.
with R
Using R to build applications that can be hosted on the internet without using any other web programming languages, like interactive dashboards.
with R
Work with big data in R via parallel programming, interfacing with Spark, writing scalable & efficient R code, and learn ways to visualize big data.
Learn to build machine learning models more effectively using more efficient code and clean data in the tidyverse.
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