Learn Data Wrangling with Python

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

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.