Data Quality Fundamentals for Beginners

Data Quality Fundamentals for Beginners, available at $19.99, has an average rating of 4.2, with 15 lectures, based on 11 reviews, and has 1099 subscribers.

You will learn about What is Data Quality? Why data quality is important? What are the important roles within Data Quality Management What are the different Data Quality Management techniques This course is ideal for individuals who are Professionals that want to undertand what is Data Quality and how it can help their organization or Data Scientists or Management that wants to gain knowledge in the importance of Data Quality Management or Big Data Developers/Administrator It is particularly useful for Professionals that want to undertand what is Data Quality and how it can help their organization or Data Scientists or Management that wants to gain knowledge in the importance of Data Quality Management or Big Data Developers/Administrator.

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Summary

Title: Data Quality Fundamentals for Beginners

Price: $19.99

Average Rating: 4.2

Number of Lectures: 15

Number of Published Lectures: 15

Number of Curriculum Items: 17

Number of Published Curriculum Objects: 17

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

What is Data Quality?
Why data quality is important?
What are the important roles within Data Quality Management
What are the different Data Quality Management techniques

Who Should Attend

Professionals that want to undertand what is Data Quality and how it can help their organization
Data Scientists
Management that wants to gain knowledge in the importance of Data Quality Management
Big Data Developers/Administrator

Target Audiences

Professionals that want to undertand what is Data Quality and how it can help their organization
Data Scientists
Management that wants to gain knowledge in the importance of Data Quality Management
Big Data Developers/Administrator

Hello there,

Data quality is a key business challenge of the 21st century. Quality has been an issue since the dawn of the IT profession and becomes increasingly challenging as the volumes of data increase and the uses for data expand. Regardless of your roles and responsibilities in IT – manager, developer, or technologist – you will at some time be challenged by data quality issues. And quality is an equal opportunity issue, imposing itself in every aspect from transaction systems to Web content and business intelligence

Why is data quality important?

Data quality matters because it significantly impacts your business performance. High-quality data helps you make better decisions and perform better actions, leading to increased revenue, decreased costs, and reduced risk. Low-quality data has the opposite effect, resulting in poor profitability and an increased risk that your business will fold prematurely.

At the end of the course, you’ll be able to grasp an all-round understanding of below concepts:

Data Quality
Data Strategy
Data Governance
Data Architecture
Data Lifecycle Management
Analytics and Data Science
Data Quality Objectives
6 Data Quality Dimensions and Examples
Roles and Responsibilities of Data Owners and Data Stewards
Data Quality Management Principles
Data Quality Management Process Cycle
Data Quality Issue Management
Data Cleansing

Outcome:

Understand the various Data Quality areas
Explore Data Quality policies and procedures
Discuss data profiling, validation rules, facets, data cleansing, and more…
Understand how Data Quality is linked to other data disciplines

Thank you!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: What is data?

Chapter 2: Data Quality Fundamentals

Lecture 1: Data Quality Defenition

Lecture 2: Data Quality Review

Lecture 3: Poor Data Quality

Lecture 4: Vicious Cycle

Chapter 3: Roles in Data Quality Team

Lecture 1: Chief Data Officer (CDO)

Lecture 2: Data Steward

Lecture 3: Data Custodian

Lecture 4: Data Analyst

Lecture 5: Data and Analytics (D&A) leader

Lecture 6: Roles That Use Data

Chapter 4: Data Governance and Data Science to improve Data Quality

Lecture 1: Data Governance AND Data Science

Lecture 2: Data Governance VS Data Science

Lecture 3: Data Science for Data Quality

Instructors

Nazim Cherpanov | Programming Courses
Programming Courses
Emil Mamedov
Professional Developer

Rating Distribution

1 stars: 0 votes
2 stars: 1 votes
3 stars: 1 votes
4 stars: 4 votes
5 stars: 5 votes

Frequently Asked Questions

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