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TORRENT DETAILS
Udemy - Data Audit Methodology For Analytics Practitioners
TORRENT SUMMARY
Status:
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Data quality concepts and best practices for ensuring the quality of data used for analytics development projects.
What you'll learn:
A framework for data quality, rooted in global data management standards.
What data quality means for analytics practitioners and how that differs from analytical design.
The various sources of data defects in an analytics project.
A methodology for effective audit and understanding of data collected/extracted, to reduce project delays caused by data quality issues.
Requirements:
While the participants are expected to have basic proficiency in scripting/programming for conceptual reasons, no specific scripting language is assumed.
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FILE LIST
Filename
Size
~Get Your Files Here !/1. Introduction/1. 1-1. What is data quality.mp4
39.2 MB
~Get Your Files Here !/1. Introduction/2. 1-2. What is data management.mp4
50 MB
~Get Your Files Here !/2. Overview of the Data Audit Methodology/1. 2-1. Methodology Overview.mp4
31.5 MB
~Get Your Files Here !/2. Overview of the Data Audit Methodology/2. 2-2. The Audit Plan.mp4
37.6 MB
~Get Your Files Here !/3. The Data Audit Methodology in Detail/1. Introduction to the Checklist.mp4
43.4 MB
~Get Your Files Here !/3. The Data Audit Methodology in Detail/2. Day 1.mp4
33.1 MB
~Get Your Files Here !/3. The Data Audit Methodology in Detail/3. Day 2.mp4
125.6 MB
~Get Your Files Here !/3. The Data Audit Methodology in Detail/4. Day 3.mp4
85.5 MB
~Get Your Files Here !/3. The Data Audit Methodology in Detail/5. Days 4-7.mp4
106.9 MB
~Get Your Files Here !/3. The Data Audit Methodology in Detail/6. Finalizing the Audit.mp4
46.6 MB
~Get Your Files Here !/4. Final Comments/1. Final Comments.mp4
