Perform Data Cleaning Techniques with the Python Programming Language. Practice and Solution Notebooks included.
What you will learn
I can standardize a dataset by fixing inconsistent column names.
I can perform data type conversion to fix inaccurate data.
I can find and fix syntax errors in a dataset.
I can find and fix typos in a dataset.
I can deal with irrelevant data in a dataset.
I can remove any duplicate records in a dataset.
I can find and deal with missing data in a dataset.
I can find and deal with outliers in a dataset.
Why take this course?
Get Instant Notification of New Courses on our Telegram channel.
Noteβ Make sure your ππππ¦π² cart has only this course you're going to enroll it now, Remove all other courses from the ππππ¦π² cart before Enrolling!
By the end of this course, you will be able to:
- I can standardize a dataset by fixing inconsistent column names.
- I can perform data type conversion to fix inaccurate data.
- I can find and fix syntax errors in a dataset.
- I can find and fix typos in a dataset.
- I can deal with irrelevant data in a dataset.
- I can remove any duplicate records in a dataset.
- I can find and deal with missing data in a dataset.
- I can find and deal with outliers in a dataset.
English
language
Found It Free? Share It Fast!