- Provider edX
- Cost Free Online Course (Audit)
- Session Upcoming
- Language English
- Certificate $49 Certificate Available
- Effort 1-2 hours a week
- Duration 8 weeks long
- Learn more about MOOCs
Taken this course? Share your experience with other students. Write review
This course is part of:
Overview
In this course, part of our Professional Certificate Program in Data Science,we cover several standard steps of the data wrangling process like importing data into R, tidying data, string processing, HTML parsing, working with dates and times, and text mining. Rarely are all these wrangling steps necessary in a single analysis, but a data scientist will likely face them all at some point.
Very rarely is data easily accessible in a data science project. It's more likely for the data to be in a file, a database, or extracted from documents such as web pages, tweets, or PDFs. In these cases, the first step is to import the data into R and tidy the data, using the tidyverse package. The steps that convert data from its raw form to the tidy form is called data wrangling.
This process is a critical step for any data scientist. Knowing how to wrangle and clean data will enable you to make critical insights that would otherwise be hidden.
Taught by
Help Center
Most commonly asked questions about EdX
Reviews for edX's Data Science: Wrangling Based on 2 reviews
- 5 star 50%
- 4 star 50%
- 3 star 0%
- 2 star 0%
- 1 star 0%
Did you take this course? Share your experience with other students.
Write a review- 1
But this Course does well in teaching concisely the main concepts and gives good practical examples and exercises related to this rather tidious subject
very clear to understand, and made me dig deeper on my own :)
notice that this is an entry-level to the subject
- 1
Never Stop Learning!
