17) how to handle missing data in Excel using Pandas, Python for Beginners

Hello, everyone! Welcome back to My Channel Learn Now from your learning partner, In this Video, we will be learning on how to handle missing data in Excel using Pandas. In our previous video we had explained How to remove the null values the data . if you had not watched that video then click on above link and if you are new to our channel then dont forget to subscribe so that you dont miss out your learning
So let Start with this video topic how to handle missing data in Excel using Pandas. We can use the fillna() function to fill in the missing data with a specific value.Now, let's let check our excel where we have the data in some rows with NA, as we can see in Gender Column some data are NA ,now we will use our code to replace our NA value by Zero, so let start with pandas

import pandas as pd

In conclusion, removing null values and handling missing data is important in cleaning up your data for analysis. In the next module, we will discuss How to display the data type. Thank you for watching!
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