R Programming: Advanced Analytics In R For Data Science

Editorial course preview

What the public course preview actually shows

These 4 complementary views highlight concrete, legible examples from the course presentation.

RStudio console displaying a data frame with columns for ID, Name, Industry, Inception, Employees, State, City, Revenue, Expenses, Profit, and Growth. — Preview 1 of 4
The RStudio console displays the head of a financial dataset containing company details like industry, revenue, expenses, and profit growth.

RStudio interface displaying R code for handling date-times using POSIXct and a console output table showing Timestamps, Machine IDs, and Utilization data. — Preview 2 of 4
The RStudio environment demonstrates deriving utilization columns and converting timestamps to POSIXct format, with the console displaying the resulting data table.

RStudio IDE screenshot showing R code for lapply and sapply functions in the editor and a console output table with monthly weather statistics for Chicago, New York, Houston, and S — Preview 3 of 4
The RStudio interface displays code using lapply and sapply functions to process weather data, with the console showing a resulting table of normalized values by city and month.

RStudio interface displaying R code for creating a boxplot with jitter and the resulting plot showing Growth by Industry. — Preview 4 of 4
The RStudio environment displays ggplot2 code generating a boxplot visualization that compares growth metrics across various industries.