Martin Burger – Cleaning Data with R

Free Download Martin Burger – Cleaning Data with R
Martin Burger (et al.) | Duration: 8 h | Video: H264 1280×720 | Audio: AAC 48 kHz 2ch | 1,19 GB | Language: English
Cleaning data accounts for 70-80% of an analyst’s time. This skill teaches you how to understand the nature of your data, identify problem areas, and then clean the data set to enable your analysis using R.
Courses in this path
A: Beginner

Alter data types to enable later analytics as well as altering and renaming columns in a dataframe for tidy data sets.
• Querying and Converting Data Types in R (Martin Burger)
• Manipulating Dataframes in R (Chase DeHan)
B: Intermediate
Clean string data, manage missing data values, duplicate data rows, and manage invalid data.
• Manipulating String Data in R (Martin Burger)
• Coping with Missing, Invalid, and Duplicate Data in R (Martin Burger)
C: Advanced
Validate data cleanliness using asserts.
• Validating Data Using Asserts in R (Jason Browning)
Homepage

https://www.pluralsight.com/paths/cleaning-data-with-r