Course Information
Course Overview
Data Management made practical. Hands-on training with core theory and AI workflows for career-ready skills
Learn quickly with my Data Management Course that covers the latest best practices from the Data Industry.
The course is structured in such a way that makes it easy for absolute beginners to get started! Every Data Management subject area is covered in a separate course section where we will cover all you need to know in terms of processes, people, technology and best practices. It does not matter if you are looking to get data management certification or just improve your data knowledge, this course will help you!
This course will give you a deep understanding of the Data Management discipline by using hands-on, contextual examples designed to showcase why Data Management is important and how how to use Data Management principles to manage the data in your organization.
In this Data Management course you will learn:
· What is Data Management
· The different Data Management Subject Areas
· How to work with data for Data Management
· Data Management in the AI Era
· Hands-on Practice - AI for Data Management
· AI Data Management Case Studies
· Data Governance
· Data Architecture
· Data Modeling and Design
· Data Storage and Operations
· Data Security
· Data Integration
· Document and Content Management
· Master & Reference Data Management
· Metadata Management
· Data Quality
· Data Warehousing and Business Intelligence
and a lot of tips and tricks from 10+ years of experience!
Enroll today and enjoy:
Lifetime access to the course
19 hours of high quality, up to date video lectures
Practical Data Management 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!
This course contains a promotion.
This course contains the use of artificial intelligence.
Course Content
- 38 section(s)
- 330 lecture(s)
- Section 1 Introduction
- Section 2 The Basics of Data Management
- Section 3 Basics of effectively working with data for Data Management
- Section 4 Data Management in the AI Era
- Section 5 Hands-on Practice - AI for Data Management
- Section 6 Hands-on Practice - End to End Data Analysis with AI
- Section 7 AI Data Management Case Studies
- Section 8 How to boost your career with AI
- Section 9 Importance of Data Ethics for Data Management
- Section 10 Data Governance - The Umbrella of Data Management
- Section 11 Data Architecture
- Section 12 Data Modeling and Design
- Section 13 Data Storage and Operations
- Section 14 Data Security
- Section 15 Data Integration and Interoperability
- Section 16 Document and Content Management
- Section 17 Master & Reference Data Management
- Section 18 Data Warehousing and Business Intelligence
- Section 19 Metadata Management
- Section 20 Data Quality
- Section 21 Big Data and Data Science
- Section 22 Clinical Data Management - quick intro
- Section 23 Understand the different roles and careers in Data Management
- Section 24 Careers in Data Leadership & Strategy
- Section 25 Careers in Data Governance, Quality & Compliance
- Section 26 Careers in Data Architecture & Infrastructure
- Section 27 Data Engineering & Integration
- Section 28 Data Operations, Reliability & FinOps
- Section 29 Business Intelligence & Analytics
- Section 30 Advanced Analytics, Data Science & AI
- Section 31 Data Security, Privacy & Risk
- Section 32 Domain & Industry-Specific Data Teams
- Section 33 Data Enablement, Culture & Education
- Section 34 Consulting, Advisory & Innovation
- Section 35 Future Trends in Data Management Careers
- Section 36 Practice Test
- Section 37 Role Play - Practice
- Section 38 What Next
What You’ll Learn
- What is Data Management from A to Z, All the different Data Management subject areas, Best Practices on Data Management from the Industry, How to implement Data Management practices within your organization
Skills covered in this course
Reviews
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GGladys Pan
Too glitchy and lagging
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SSebastian Dutra
It is a very good and comprehensive course; it covers all data areas, although it may be too long when explaining Data Roles and what each of them does.
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UUdemy User
The first several sections were a great use of time. Sections 24-35 should have been a PDF resource- it was definitely not relevant to the course or necessarily something a person should be studying.
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WWalter Ciskowski
Nice! I have read the DMBOK, but this presentation provides a more memorable format. I appreciate the pace of your presentation.