Validate Data Cleanliness Using Asserts in Python

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Pinal Dave

42:49

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1. Course Overview

1. Course Overview.mp4

01:19

2. Validating and Verifying Data Using Asserts

1. Introduction.mp4

02:06

2. Asserts for Validation.mp4

01:50

3. Demo - Asserts in Python.mp4

06:26

4. Demo - Verifying Index Equality.mp4

05:41

5. Demo - Verifying Series Equality.mp4

04:38

6. Demo - Verifying DataFrames Equality.mp4

03:18

7. Demo - Verifying Data Tidiness with NumPy.mp4

03:59

8. Summary.mp4

00:46

3. Using Assert-based Tests for Data Cleaning

1. Introduction to Assert-based Tests.mp4

03:58

2. Quantitative Test for Clean Data Using Asserts.mp4

03:26

3. Logical Test for Clean Data Using Asserts.mp4

03:54

4. Summary.mp4

01:28

Description

This course teaches how to use asserts in Python to validate data cleanliness. Learn to compare indexes, Series, and DataFrames, compose quantitative and logical tests, and apply them for data cleaning.

What You'll Learn?

Inaccurate or inconsistent data can lead to poor business decisions. However, manually validating data can be time-consuming and error-prone. Tools and technologies available today can help automate the process of validating and cleaning data.

In this course, Validate Data Cleanliness Using Asserts in Python, you will learn how to use asserts in Python to validate the cleanliness of data.

First, you will be introduced to the numpy.testing module and how it can be used to verify data tidiness.

Next, you will discover how to verify the equality of two indexes, two Series, and two DataFrames using the various testing functions available in the numpy.testing module.

Finally, you will explore how to compose quantitative and logical tests for clean data using asserts and apply them for data cleaning.

When you are finished with this course, you will have the skills needed to use asserts to validate data cleanliness in Python.

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Python

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Pinal Dave

Instructor's Courses

Pinal Dave is an SQL Server Performance Tuning Expert and independent consultant with over 21 years of hands-on experience. He holds a Master of Science degree and numerous database certifications. Pinal has authored 14 SQL Server database books and 45 Pluralsight courses. To freely share his knowledge and help others build their expertise, Pinal has also written more than 5,500 database tech articles on his blog at https://blog.sqlauthority.com.

Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.