Introduction to Data Quality and Data Management

The fundamentals of data, Data Quality (DQ), Data Management (DM), and the usual activities, tools and operations.
What you'll learn
You'll learn about the frequent data disciplines (Data Management, Data Governance, Data Stewardship, Data Science), their differences and nuances.
You'll learn about the most frequent types of Data Quality (DQ) operations, including profiling, parsing, cleansing, standardisation, record merging, and others
You'll learn about the levels of data sophistication in an organisation, and the usual DM/DG progression from projects to programs to centralised processes.
You'll learn about the 4 major types of data (master data, reference data, transactional data and metadata), as well as what each means, and how they intersect.
Requirements
You don't need prior knowledge (knowledge of data management/data governance naturally helps, but is NOT necessary)
Description
MANAGE;YOUR;KNOWLEDGE,;MANAGE;YOUR;DATA
There are many activities related to data in organisations.
Data Management (DM), Data Governance (DG), Data Stewardship, Data;Science, and many others.
All of these are crucial activities for organisations, especially those trying to protect their data from cyberattacks, complying with regulation, or just trying to improve the quality of their analytics and reports.
Frequently, you can find information on one of these activities, but not all.
And on top of that, many courses use different definitions, so you may become confused.
In short, most courses on data don't fit the minimum requirements.
And this has consequences not just for your career, but yourself personally as well.
What happens when you don't have enough information (or in the adequate format)?
You'll become confused by the myriad data activities, the tools used, which roles and responsibilities each person has, and how they intersect;
You won't be able to properly identify what belongs to Data Management or what belongs to;Data Governance - and what should not be done at all;
You'll become frustrated and irritated that you don't know why an operation works, or why it doesn't;
You won't be able to identify what a specific data tool should be used for, and when your current tools don't fit the job;
You won't know how to optimize your DM;and DG operations in an organisation, resulting people not taking data seriously, or making obvious mistakes;
Homepage

https://www.udemy.com/course/data-management-and-governance/

Introduction to Data Quality and Data Management Fast Download
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