Learn to process and convert raw data into formats needed for analysis.
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What you need before starting this Data Science: Wrangling course:
Beginner-Friendly Course!
This course is designed for absolute beginners. No prior knowledge needed.
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Everything you need to know about this online course, from duration to certification
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.
Difficulty Level
Introductory
Suitable for motivated learners
Subject Category
Data Analysis & Statistics, Computer Science
Part of our Data Analysis & Statistics, Computer Science curriculum
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
Budget-Friendly Course
Typically around $49
Pricing may vary. Check the course provider for current promotions and exact pricing.
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