Perform Data Wrangling with the Python Programming Language. Practice and Solution Notebooks included.
What you'll learn:
What you'll 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.
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.
