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.
Enroll now: Data Quality Fundamentals for Beginners
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
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
You may also like
- Digital Marketing for Church Growth | Digital Outreach Tips
- Master Course in Market Research and Marketing Strategy 2.0
- Make Money with Chatgpt: A Course on Chatgpt for youtubers
- The Freelance Academy Masterclass For 2023
- Grow a Low Cost Email List & Fully Automate Your Campaigns
- Business Continuity and Disaster Recovery
- How to create a Shopify Store | Beginners 2024 Shopify Guide
- Survey Secrets: Unleashing Market Insights
- ChatGPT & Artificial Intelligence (AI) for Project Managers
- DropShip Niche Mastery: How to Discover DropShipping Niches
- Alteryx for Beginners: Up & Running with Alteryx Designer
- NEBOSH Workplace Hazards and Risks Control Preparation
- Podcast Masterclass: Launch and Market Your Podcast
- Internet of Things Business Impact
- Certified Associate in Project Management (CAPM)
- Tiktok Ads Full Tutorial: From Beginner to Expert
- Property GPT – Chat GPT meets Real Estate
- Mastering the Seven Quality Tools (with Microsoft Excel)
- Growth hacking 101⎢Certificate Mini-Course 2024
- Master Course in Operations, Logistics and Lean Management