DMNDP0: Data Modeling for Non-Data Professionals Learning Plan
The Data Modeling for Non-Data Professionals Learning Plan discusses the key concepts around Data Modeling and associated practices. Data Modeling helps organizations understand and better utilize business and technical requirements. It facilitates in the building of higher-quality software and better tools, reducing costs, gaining clarity into business processes, and providing contextual understanding around other key Data Management disciplines. If all six courses are completed, a certificate will be issued.
This Learning Plan is a collection of six different “What is…?” series of data fundamentals courses. It was developed to help data and non-data professionals build a common language and understanding between them on significant data-related topics.
This Learning Plan provide a means to develop a level of cooperative understanding between business users, executives, teams, and technical professionals across your organization, so that everyone can be on the same page with Data Modeling as you move forward with your data programs and initiatives.
Learning Plan Price: $199
Individual Course Price: $49
Learning Plan CEUs: 3 hours
Each Course Includes:
- A 23- to 30-minute educational training video
- A 6- to 9-question exam
- Materials made available for download once the exam has been completed
- Self-paced and on-demand e-learning
- Unlimited course access
Courses within the Data Modeling for Non-Data Professionals Learning Plan:
- What is Data Management?
- What is Data Modeling?
- What is Data Architecture?
- What is Metadata?
- What is Data Lineage?
- What is Data Strategy?
We offer several bulk licensing options for corporate and group use.
Contact us for a follow-up discussion!
About the Instructor
Anthony J. Algmin is a pioneer of data leadership and the author of the first published book on data leadership – Data Leadership: Stop Talking About Data and Start Making an Impact! He hosts a weekly video podcast, Data Leadership Lessons, highlighting the many ways data leadership makes a difference to people and their organizations.
Anthony has led data transformations in many industries, serving as a project manager, data architect, and Chief Data Officer. He is the Founder of Algmin Data Leadership, LLC, a data leadership advocacy firm guiding businesses to make the most of their data assets. Offerings include speaking, training, and coaching services.
Anthony has a bachelor’s degree from Illinois Wesleyan University and an MBA from the Kellogg School of Management. In collaboration with DATAVERSITY, Anthony travels the country as one of their most dynamic and popular speakers. He lives with his wife and three children in suburban Chicago.
Algmin Data Leadership Links:
Website: www.algmin.com
Book: www.amazon.com/gp/product/0578542706
LinkedIn: www.linkedin.com/company/algmin-data-leadership
Twitter: www.twitter.com/algmin
YouTube: www.youtube.com/channel/UC4RlKKISj38qvxgmm3o_X7Q
Facebook: www.facebook.com/AlgminDataLeadership/
Data Modeling for Non-Data Professionals Learning Plan
Course 1: What is Data Management?
- Definitions
- Why We Do Data Management
- Data Value
- Key Data Management Topics
- Summary
Course 2: What is Data Modeling?
- Definitions
- A Pragmatic Understanding of Data Modeling
- Types of Data Models
- Related Terms
- Why We Do Data Modeling
- Getting Started
- Summary
Course 3: What is Data Architecture?
- Definitions
- Practical Data Architecture
- Why We Do Data Architecture
- Uses of Data Architecture
- Getting Started
- Summary
Course 4: What is Metadata?
- Definitions
- A Pragmatic Understanding of Metadata
- Types of Metadata
- Relating to Data Management
- Why We Do Metadata
- Getting Started
- Summary
Course 5: What is Data Lineage?
- Definitions
- Two Types of Data Lineage
- Why We Do Data Lineage
- Data Lineage Use Cases
- Getting Started
- Summary
Course 6: What is Data Strategy?
- Definitions
- Why we do Data Strategy
- Key Components of Data Strategy
- Getting Started
- Summary
Complete All Six Courses
1. What is Data Management?
required
Data Management is the overarching umbrella around pretty much everything we do with data. It’s the best place to start. This course examines the core concepts of Data Management, including: definitions, why Data Management is essential to organizational success, the value of data as a whole, key Data Management practices, and more.
View Details2. What is Data Modeling?
required
Data Modeling refers to the practice of documenting software and business systems’ design. It helps you to better understand the technical and business processes that are the building blocks of an organization. This course examines the core concepts of Data Modeling, including: definitions, a practical understanding, types of data models, related terms and concepts, why Data Modeling is important, getting started, and more.
View Details3. What is Data Architecture?
required
Data Architecture is what an organization “builds” to create data value, such as systems, platforms, databases, rules, and processes that direct data efforts. Data Architecture is guided by and also influences business processes and strategies that are essential to success. This course examines the core concepts of Data Architecture, including: definitions, why Data Architecture is important, uses of Data Architecture, getting started, and more.
View Details4. What is Metadata?
required
Metadata is like drawing a map for a trip; it’s not necessarily the beginning or endpoint of a journey. It provides the context around each point of that particular trip for a given data element. Where Data Management can be seen as the entire journey, metadata is the context that allows the map to be drawn.
View Details5. What is Data Lineage?
required
All the data in an organization has a story; data lineage is about telling the story of that data as it travels through the various systems and platforms. So, data lineage is metadata over time, in that it reveals the “who, what, where, when, why, and how” of data. This course examines the core concepts of data lineage, including: definitions, types of data lineage, why organizations need to be concerned about data lineage, important use cases, getting started, and more.
View Details6. What is Data Strategy?
required
Data Strategy concerns how an organization supports Business Strategy with data. This includes creating a strategy that effectively deals with how data systems and architectures will be built, and how data will be consumed and used to create a measurable improvement in business outcomes. How does an organization use data to make the business better? That is the central question when building a Data Strategy.
View Details
Gift this Learning Path
Whats Included
Access your courses anytime, anywhere, with a computer, tablet or smartphone
Videos, quizzes and interactive content designed for a proven learning experience
Unlimited access. Take your courses at your time and pace
