Data Quality Masterclass - The Complete Course

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George Smarts

6:00:36

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1 - Introduction

1 - Introduction.mp4

03:57

2 - Data-Quality-Example.xlsx

2 - Data-Quality-Masterclass-Guide.pdf

2 - Download the Course Resources.mp4

01:28

3 - Certificate of Completion how to get it.mp4

01:35

3 - Guide from Udemy How to get your Certificate of Completion.txt

2 - The Basics

4 - What is Data Quality.mp4

03:00

5 - What is Data Quality Management.mp4

05:33

6 - The Impact of Poor Data Quality.mp4

07:03

7 - Estimations on Cost of Poor Data Quality.mp4

05:38

8 - Data Quality Issue from real world case studies.mp4

03:14

9 - Why do we have bad data.mp4

05:17

3 - 6 Key Data Quality Dimensions

10 - What is a Data Quality Dimension.mp4

01:54

11 - Data Accuracy.mp4

06:44

11 - Data-Quality-Example.xlsx

12 - Data Validity.mp4

03:52

13 - Data Timeliness.mp4

03:54

14 - Data Completeness.mp4

05:56

15 - Data Uniqueness.mp4

03:34

16 - Data Consistency.mp4

04:42

16 - Data-Quality-Final.xlsx

4 - Data Quality Rules

17 - What are Data Quality Rules.mp4

02:37

18 - Steps to Implement your own Data Quality Rules.mp4

02:41

19 - Example of implementing Data Quality Rules.mp4

10:15

20 - Data Quality Rules Example 2.mp4

04:48

5 - Data Quality TechniquesTools

21 - Data Profiling What is it.mp4

04:53

22 - Data Profiling use cases.mp4

05:30

23 - Data Parsing.mp4

01:56

24 - Benefits of Data Parsing.mp4

04:30

25 - Data Standardization.mp4

02:04

26 - Identity Resolution.mp4

02:53

27 - Identity Resolution Process.mp4

02:48

28 - Identity Resolution Benefits.mp4

04:53

29 - Data Linkage.mp4

02:48

30 - Data Cleansing.mp4

05:50

31 - Data enhancement.mp4

03:00

32 - Data inspection and monitoring.mp4

06:43

6 - Data Quality Roles

33 - Data Quality Roles intro.mp4

02:00

34 - Data Quality Manager.mp4

04:24

35 - Data Quality Analyst.mp4

05:29

36 - Data Owner.mp4

03:11

37 - Data Steward.mp4

03:08

38 - Data Custodian.mp4

02:44

39 - Data consumer.mp4

02:38

7 - Data Quality Process

40 - The Data Quality Management process.mp4

01:07

41 - Step 1 Define the Data Quality Improvement goals.mp4

06:51

42 - Step 2 Data Profiling.mp4

02:39

43 - Step 3 Conduct Data Quality Assessment.mp4

03:45

44 - Step 3 addition Using Root Cause Analysis Tools.mp4

08:51

45 - Step 4 Resolve Data Quality Issues.mp4

05:05

46 - Step 5 Monitor and Control.mp4

03:50

8 - Data Quality Tools

47 - Why Data Quality Tools are important.mp4

04:18

48 - What is important in a Data Quality Tool.mp4

05:32

49 - The Magic Quadrant for Data Quality Solutions by Gartner.mp4

04:05

50 - Informatica.mp4

04:59

51 - IBM.mp4

04:23

52 - SAP.mp4

03:11

53 - Talend.mp4

04:05

54 - Precisely.mp4

01:55

55 - Ataccama.mp4

03:12

56 - How to choose the right Data Quality Tool.mp4

08:26

9 - Optional Section Data Governance

57 - Why invest time learning about Data Governance.mp4

03:39

58 - What is the difference between Data Governance and Data Quality.mp4

05:45

59 - Data Governance Definition.mp4

02:43

60 - Why do you need Data Governance.mp4

08:15

61 - Data Governance Gone Wrong.mp4

05:39

62 - Data Governance Core Principles.mp4

06:51

63 - Data Governance Roles Respnsibilities.mp4

09:44

10 - Data Quality Best Practices

64 - Top 5 Best Practices to implement.mp4

06:54

11 - Optional Section Example of a Data Quality Tool

65 - Intro.mp4

01:17

66 - Setting up your account.mp4

02:24

67 - The Interface.mp4

05:18

68 - Connect to Data.mp4

04:06

69 - Running Jobs.mp4

05:45

70 - Job options.mp4

04:56

71 - Overview of Data Quality Scoring.mp4

03:30

72 - Data Profile page.mp4

05:33

73 - Shapes.mp4

04:37

74 - Duplicates.mp4

02:19

75 - Schema.mp4

01:48

76 - Record.mp4

01:22

77 - Source.mp4

01:59

78 - Pattern.mp4

02:03

79 - How to adjust the features.mp4

06:36

80 - Outliers.mp4

02:04

81 - Rules.mp4

09:56

82 - Data Behaviour.mp4

07:46

83 - Outro.mp4

00:45

12 - What Next

84 - Thank You.mp4

01:44

85 - Bonus Lecture.html

Description

Learn Data Quality Management from A to Z. This complete guide covers all Data Quality Principles, Techniques and more

What You'll Learn?

What is Data Quality and why it is important
What are the different Data Quality Management techniques
What are the different Data Quality Dimensions
What are the important roles within Data Quality Management
Best Practices from the Industry

Who is this for?

Professionals working in a data organization

Professionals that want to undertand what is Data Quality and how it can help their organization

Data Management professionals

Management that wants to gain knowledge in the importance of Data Quality Management

Anyone that wants to learn about Data Quality and add another skill to their resume

What You Need to Know?

You do not need prior knowledge to enrol to this course. Any previous experience with data will be helpful but not mandatory.

More details

Description
Learn quickly with my Data Quality Management course that covers the latest best practices from the Data Industry
The course is structured in such a way that makes it easy even for absolute beginners to get started!
This course will give you a deep understanding of the Data Quality Management discipline by using hands-on, contextual examples designed to showcase why Data Quality is important and how how to use Data Quality principles to manage the data in your organization.

In thisÂ Data Quality course you will learn:
Â· What is Data Quality
Â· What is Data Quality Management
Â· Why is Data Quality Important and how it affects your business
Â· What are the different Data Quality Dimensions
Â· What are Data Quality Rules
Â· Profiling
Â· Data Parsing
Â· Data Standartization
Â· Identity resolution
Â· Record linkage
Â· Data cleansing
Â· Data enhancement
Â· What is the Data Quality Process
Â· What are the different Data Quality Roles
Â· Data Quality Tools and their importance
Â· Data Quality BestÂ practices
and much, much more!

Enroll today and enjoy:
Lifetime access to the course
6 hours of high quality, up to date video lectures
Practical Data Quality course with step by step instructions on how to implement the different techniques
Thanks again for checking out my course and I look forward to seeing you in the classroom!
Who this course is for:
Professionals working in a data organization
Professionals that want to undertand what is Data Quality and how it can help their organization
Data Management professionals
Management that wants to gain knowledge in the importance of Data Quality Management
Anyone that wants to learn about Data Quality and add another skill to their resume

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Hello!I am a PM and data geek with 10 years worth of experience working for Fortune 500 companies. The past decade was a really challenging and fulfilling one that allowed me to work on multiple complex international projects in the IT industry.I have experience with most of the Project Management software tools on the market and would love to share my knowledge and best practices from the industry.Here are some of the topics that I love teaching and why:- Project Management software tools - I love finding new useful features and utilizing them to increase the collaboration and success of projects. I have used all the well known Project Management software tools on the market.- Data related topics - I have led and participated in dozens of different Data related projects and initiatives. I am a data geek and love to share my knowledge on the topic.- Productivity software tools - one of my secrets to success is that over the years I have used software tools to increase my productivity and motivation to get things done.The aim of my courses is to help you achieve one of the following: - Get the next promotion at work by utilizing software tools to set yourself apart from the competition- Become better at managing projects by utilizing industry best pracrices- Become better at managing the collaboration within your team- Make your resume standout by adding trending skills- Improve the operations of your own business My mantra is teaching by doing. Let's get going!

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