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Trifacta for Data Wrangling: Wrangling Data

Trifacta for Data Wrangling: Wrangling Data


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Discover the essential methods for wrangling data with Trifacta.



Expected Duration (hours)
0.8

Lesson Objectives

Trifacta for Data Wrangling: Wrangling Data

  • remove units from data and covert to another format
  • change date formats to the ISO 8601 standard
  • create filters based on existing column data
  • replace values based on a particular criteria
  • count the number of matches for values in data
  • split columns based on a pattern
  • merge multiple columns into one
  • create a new column from extracted data
  • apply a group by transformation to aggregate with a conditional value
  • apply a number of transforms to reshape data
  • join two data sets into one using a join operation
  • apply data wrangling functions using Trifacta
  • Course Number:
    it_dstrdwdj_01_enus

    Expertise Level
    Intermediate