dotsdots

Wrangling Data in the Tidyverse

Description

Data never arrive in the condition that you need them in order to do effective data analysis. Data need to be re-shaped, re-arranged, and re-formatted, so that they can be visualized or be inputted into a machine learning algorithm. This course addresses the problem of wrangling your data so that you can bring them under control and analyze them effectively. The key goal in data wrangling is transforming non-tidy data into tidy data.Read more.

This resource is offered by an affiliate partner. If you pay for training, we may earn a commission to support this site.

Career Relevance by Data Role

The techniques and tools covered in Wrangling Data in the Tidyverse are most similar to the requirements found in Business Analyst job advertisements.

Similarity Scores (Out of 100)

Learning Sequence

Wrangling Data in the Tidyverse is a part of two structured learning paths.

Coursera
Johns Hopkins University
None
DataKwery

13 Courses

Free Data Analyst