You'll learn about data literacy, Data Quality operations, Data Governance policies and Data Security/Privacy controls.
Sub Category
- Data Science
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Objectives
- 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.
Pre Requisites
- You don't need prior knowledge (knowledge of data management/data governance naturally helps, but is NOT necessary)
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. 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!
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Coupon Code(s)