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.
Requirements
You will need to have basic python programming proficiency.
You will need a modern browser i.e. Google Chrome or Mozilla Firefox.
Description
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.
Who this course is for:
This course is designed for professionals with an interest in getting hands-on experience with the respective data science techniques and tools.
https://www.udemy.com/course/data-wrangling-with-python-in-1-hour/

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