Book

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 approx.

Language

English

Certification

Not available

About Course

Book Content

chapters • 6h48m total length

1. Programming with Data

2. An Introduction to Programming in Python

3. : Reading, Writing and Modifying Data in Python I

4. Reading, Writing and Modifying Data in Python II

5. Text Data and Regular expressions

6. Cleaning Numerical Data: An Introduction To R and Rstudio

7. Data Munging in R using Dplyr

8. Getting data from the web

9. Working with really large datasets

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