Data Quality Fundamentals for Beginners

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2022-11-17
Learners

No Information
Duration

No Information
Instructor

Nazim Cherpanov | Programming CoursesEmil Mamedov

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4.6

1,095 Ratings

This course is perfect for beginners looking to gain an understanding of data quality fundamentals. It covers topics such as data strategy, data governance, data architecture, data lifecycle management, analytics and data science, data quality objectives, and data quality dimensions and examples. Learners will also learn about data quality policies and procedures, data profiling, validation rules, facets, data cleansing, and more. Additionally, learners will gain an understanding of how data quality is linked to other data disciplines. By the end of the course, learners will have a comprehensive understanding of data quality and its importance in business performance. Sign up now to learn the fundamentals of data quality and how it can help your business succeed.

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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This course provides an introduction to the fundamentals of data quality for new learners. It covers topics such as data strategy, data governance, data architecture, data lifecycle management, analytics and data science, data quality objectives, and data quality dimensions and examples. Learners will gain an understanding of data quality policies and procedures, data profiling, validation rules, facets, data cleansing, and more. Additionally, learners will learn how data quality is linked to other data disciplines. Upon completion of the course, learners will have a comprehensive understanding of data quality and its importance in business performance.

Course Syllabus

Introduction

Data Quality Fundamentals

Roles in Data Quality Team

Data Governance and Data Science to improve Data Quality

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