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Data Science: Wrangling 
offered by Harvard University

Data Science: Wrangling
 at 
Harvard University 
Overview

Learn to process and convert raw data into formats needed for analysis.

Duration

8 weeks

Mode of learning

Online

Schedule type

Self paced

Difficulty level

Beginner

Official Website

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Course Level

UG Certificate

Data Science: Wrangling
 at 
Harvard University 
Highlights

  • Earn a paid certificate of completion
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Data Science: Wrangling
 at 
Harvard University 
Course details

What are the course deliverables?
  • Importing data into R from different file formats
  • Web scraping
  • How to tidy data using the tidyverse to better facilitate analysis
  • String processing with regular expressions (regex)
  • Wrangling data using dplyr
  • How to work with dates and times as file formats, and text mining
More about this course
  • 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
  • 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

Data Science: Wrangling
 at 
Harvard University 
Curriculum

Data Science, Data Mining, Data Analysis, R

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Data Science: Wrangling
 at 
Harvard University 
Faculty details

Rafael Irizarry
Designation : Professor of Biostatistics, T.H. Chan School of Public Health

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Data Science: Wrangling
 at 
Harvard University 
Contact Information

Address

1350 Massachusetts Ave, Cambridge, Massachusetts 02138, USA
Cambridge ( Massachusetts)

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