• views: 95
• date: 12 January 2024
• posted by: voska89

In today's data-driven world, cleaning and organizing data has become an essential task for businesses and organizations. Messy data can lead to incorrect insights, which can lead to poor decision-making.
In this course, Cleaning and Working with Dataframes in Python, you'll gain the ability to clean and organize messy data using the powerful pandas library in Python.
First, you'll explore how to rename columns in a dataframe for more intuitive data access. You'll learn how to assign column names manually using the .columns dataframe attribute and how to rename an existing column in a dataframe using the rename() function.
Next, you'll discover how to alter columns in a dataframe for a tidy data set. You'll learn how to drop a list of columns with a single call to drop(), and you'll define the purpose of the in place and axis parameters.
Finally, you'll learn how to apply these skills to solve real-world problems. When you're finished with this course, you'll have the skills and knowledge of cleaning and working with dataframes - using pandas in Python - needed to clean and organize messy data and obtain accurate insights. You'll be ready to take on data cleaning challenges and become a more efficient data professional.
Homepage

https://www.pluralsight.com/courses/python-dataframes-cleaning-working

   
   
   

Forex Trading

Crypto Trading. 20 USD Bonus after KYC

We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm

0 1 2 3 4 5

| Print version |

	Information
		Users of GUESTS are not allowed to comment this publication.