What is the vision behind the Tidyverse

Transforming Data with R and the Tidyverse

€ 499.00 plus VATcheckFull price

Start dates and locations

computer Online: Video conferencing
Oct 22, 2021
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eventOctober 22, 2021, 10: 00-17: 00, video conferencing, Day 1

description

Introduction

In this one-day hands-on workshop, RStudio certified instructor Jeroen Janssens will walk you through the so-called tidyverse to transform data. The tidyverse is an ecosystem of R packages that share an underlying design philosophy, grammar, and data structures.

We'll start at the beginning, with importing CSV data using readr and spreadsheets using readxl. We'll cover the most important functions from dplyr other tidyr for generic data wrangling and cleaning. We'll also look at dealing with dates, factors, and textual data specifically using the packages lubridate, forcats, and stringr, respectively. Note that this workshop does not cover ggplot2; for that we recommend our one-da ...

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Haven't found the perfect course yet? Related topics: Data science with R., Big Data, Data Science, Data Mining and Data Analytics.

Introduction

In this one-day hands-on workshop, RStudio certified instructor Jeroen Janssens will walk you through the so-called tidyverse to transform data. The tidyverse is an ecosystem of R packages that share an underlying design philosophy, grammar, and data structures.

We'll start at the beginning, with importing CSV data using readr and spreadsheets using readxl. We'll cover the most important functions from dplyr other tidyr for generic data wrangling and cleaning. We'll also look at dealing with dates, factors, and textual data specifically using the packages lubridate, forcats, and stringr, respectively. Note that this workshop does not cover ggplot2; for that we recommend our one-day workshop Data Visualization with R and ggplot2.

By the end of this workshop, you'll have a good understanding of the tidyverse ecosystem and you'll be able to apply many of its packages to your own data.

Schedule

  • The concept of tidy data
  • Filtering rows
  • Selecting columns
  • Replacing values
  • Handling missing values
  • Cleaning column names
  • Making groups
  • Computing summary statistics
  • Pivoting
  • Dealing with dates, factors, and textual data

Prerequisites

You're expected to have some experience with programming in R and R Studio. Our workshop Introduction to Programming in R is one option that can help you with that.

Recommended preparation

Participants are kindly requested to have the following items installed prior to the start of the workshop:

  • R version 4.0 or later
  • RStudio v1.3 or later
  • The latest version of the tidyverse, by running: install.packages ("tidyverse"), dependencies = TRUE)

Clients

We’ve previously delivered this workshop at:

  • DPD
  • Dutch Institute for Clinical Auditing
  • EQUATE Petrochemical Company ركة ايكويت للبتروكيماويات
  • Gemeente Nijmegen
  • KPN
  • T-Mobile

Testimonials

"Data Science Workshops organized for KPN a ten-week course on Data Science with R. The combination of training, on-site coaching, and remote support ensured that our analysts are applying the new knowledge and skills in their daily projects. For instance, they're now capable to implement complex predictive models using R. We're looking forward to the follow-up course on Advanced Machine Learning. "

--Wouter Egberink, Commercial Analytics Manager, KPN

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