The Data Science of Marketing

with Chris DallaVilla

Welcome from The Data Science of Marketing by Chris DallaVilla

Marketing is changing right in front of our eyes, and that transformation is being led by data. Modern marketers have to understand data and analysis like never before, and be able to work with data scientists in multidisciplinary settings. Similarly, professionals with data science training need to learn how to maximize their contributions when working with marketing and sales specialists. Continue reading The Data Science of Marketing

Learning about Shiny with RMD

I’ve played around with Rstudio’s Shiny and used it to produce web pages driven with R. Although it’s not the only path from R to the web, Shiny is a really convenient way to build sophisticated dashboards.

I’ve used Shiny, but haven’t had time to explore the advanced capabilities. With delight, I found “Creating Interactive Presentations with Shiny and R” available from LinkedIn Learning, authored by Martin Hadley. In this course, Martin discusses how to  use Shiny to produce interactive documents, as well as websites at Watching Martin’s course taught me several things I probably would have never noticed. Most importantly, I didn’t realize shiny could be used with R Markdown. Continue reading Learning about Shiny with RMD

Learning the R Tidyverse

A LinkedIn Learning Course with Martin Hadley

Welcome from Learning the R Tidyverse by Martin Hadley

R is an incredibly powerful and widely used programming language for statistical analysis and data science. The “tidyverse” collects some of the most versatile R packages: ggplot2, dplyr, tidyr, readr, purrr, and tibble. The packages work in harmony to clean, process, model, and visualize data. This course introduces the core concepts of the tidyverse as compared to the traditional base R. Continue reading Learning the R Tidyverse

R: Interactive Visualizations with htmlwidgets

A LinkedIn Learning Course with Martin Hadley

Welcome from R: Interactive Visualizations with htmlwidgets by Martin Hadley

Using the R language almost exclusively, htmlwidgets allow you to create the same interactive maps, charts, and graphs you see on popular data journalism sites and in BI dashboards. Continue reading R: Interactive Visualizations with htmlwidgets

Data Wrangling in R

A LinkedIn Learning course by Mike Chapple

Welcome from Data Wrangling in R by Mike Chapple

Tidy data is a data format that provides a standardized way of organizing data values within a dataset. By leveraging tidy data principles, statisticians, analysts, and data scientists can spend less time cleaning data and more time tackling the more compelling aspects of data analysis. In this course, learn about the principles of tidy data, and discover how to create and manipulate data tibbles—transforming them from source data into tidy formats. Continue reading Data Wrangling in R