Practical Data Wrangling
Around 80% of time in data analysis is spent on cleaning and preparing data for analysis. Python and R are considered a popular choice of tool for data analysis, and have packages which can be best used to manipulate different kinds of data, as per the requirement. This book will show you the best approaches for particular problems in real world cases.
Offered by
Difficulty Level
Intermediate
Completion Time
6h48m
Language
English
About Book
Who Is This Book For?
If you are a data scientist, data analyst, or a statistician who wants to learn how to wrangle your data for analysis in the best possible manner, this book is for you. As this book covers both R and Python, some understanding of them will be beneficial.
Practical Data Wrangling
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 6h48m total length
Programming with Data
An Introduction to Programming in Python
: Reading, Writing and Modifying Data in Python I
Reading, Writing and Modifying Data in Python II
Text Data and Regular expressions
Cleaning Numerical Data: An Introduction To R and Rstudio
Data Munging in R using Dplyr
Getting data from the web
Working with really large datasets
Related Resources
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