Validate Data Cleanliness Using Asser...

Description

Validate Data Cleanliness Using Asserts in Python - Pluralsight

English | Tutorial | Size: 119.22 MB

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

Files (28)

1. Course Overview/1. Course Overview.mp43.07 MiB
1. Course Overview/1. Course Overview.vtt1.7 KiB
2. Validating and Verifying Data Using Asserts/1. Introduction.mp44.29 MiB
2. Validating and Verifying Data Using Asserts/1. Introduction.vtt2.63 KiB
2. Validating and Verifying Data Using Asserts/2. Asserts for Validation.mp43.28 MiB
2. Validating and Verifying Data Using Asserts/2. Asserts for Validation.vtt2.25 KiB
2. Validating and Verifying Data Using Asserts/3. Demo - Asserts in Python.mp417.56 MiB
2. Validating and Verifying Data Using Asserts/3. Demo - Asserts in Python.vtt8.6 KiB
2. Validating and Verifying Data Using Asserts/4. Demo - Verifying Index Equality.mp414.43 MiB
2. Validating and Verifying Data Using Asserts/4. Demo - Verifying Index Equality.vtt7.82 KiB
2. Validating and Verifying Data Using Asserts/5. Demo - Verifying Series Equality.mp413.7 MiB
2. Validating and Verifying Data Using Asserts/5. Demo - Verifying Series Equality.vtt6.41 KiB
2. Validating and Verifying Data Using Asserts/6. Demo - Verifying DataFrames Equality.mp411.71 MiB
2. Validating and Verifying Data Using Asserts/6. Demo - Verifying DataFrames Equality.vtt4.82 KiB
2. Validating and Verifying Data Using Asserts/7. Demo - Verifying Data Tidiness with NumPy.mp410.8 MiB
2. Validating and Verifying Data Using Asserts/7. Demo - Verifying Data Tidiness with NumPy.vtt5.38 KiB
2. Validating and Verifying Data Using Asserts/8. Summary.mp41.44 MiB
2. Validating and Verifying Data Using Asserts/8. Summary.vtt906 B
3. Using Assert-based Tests for Data Cleaning/1. Introduction to Assert-based Tests.mp47.18 MiB
3. Using Assert-based Tests for Data Cleaning/1. Introduction to Assert-based Tests.vtt5.03 KiB
3. Using Assert-based Tests for Data Cleaning/2. Quantitative Test for Clean Data Using Asserts.mp410.35 MiB
3. Using Assert-based Tests for Data Cleaning/2. Quantitative Test for Clean Data Using Asserts.vtt4.39 KiB
3. Using Assert-based Tests for Data Cleaning/3. Logical Test for Clean Data Using Asserts.mp410.51 MiB
3. Using Assert-based Tests for Data Cleaning/3. Logical Test for Clean Data Using Asserts.vtt5.01 KiB
3. Using Assert-based Tests for Data Cleaning/4. Summary.mp42.63 MiB
3. Using Assert-based Tests for Data Cleaning/4. Summary.vtt1.98 KiB
exercise.zip8.23 MiB
playlist.m3u1.01 KiB

Validate Data Cleanliness Using Asserts in Python

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Files (28)