When you enroll through our links, we may earn a small commission—at no extra cost to you. This helps keep our platform free and inspires us to add more value.

Learn Data Wrangling with Python
Perform Data Wrangling with the Python Programming Language. Practice and Solution Notebooks included.

This Course Includes
udemy
3.8 (62 reviews )
1h 44m
english
Online - Self Paced
professional certificate
Udemy
About Learn Data Wrangling with Python
By the end of this course, you will be able to:
Load a local dataset from CSV and Excel files.
Import a dataset from CSV and Excel files via a URL.
Determine the size of a dataset.
Explore the first and last records of a dataset.
Explore the datatypes of the features of a dataset.
Check for missing data in a dataset.
Deal with missing data in a dataset.
Filter for records with certain values from a dataset.
Filter records with multiple filters from a dataset.
Filter for records from a dataset through the use of conditions.
Perform sorting in ascending and descending order.
Split a column in a dataset.
Merge data frames to form a dataset.
Concatenate two columns to one column in a dataset.
Export a dataset in CSV and Excel formats.
What You Will Learn?
- To load a local dataset from CSV and Excel files. .
- To import a dataset from CSV and Excel files via a URL. .
- To determine the size of a dataset. .
- To explore the first and last records of a dataset. .
- To explore the datatypes of the features of a dataset. .
- To check for missing data in a dataset. .
- To deal with missing data in a dataset. .
- To filter for records with certain values from a dataset. .
- To filter records with multiple filters from a dataset. .
- To filter for records from a dataset through the use of conditions. .
- To perform sorting in ascending and descending order. .
- To split a column in a dataset. .
- To merge data frames to form a dataset. .
- To concatenate two columns to one column in a dataset. .
- To export a dataset in CSV and Excel formats. Show moreShow less.