We offer online Data Leadership training through the DATAVERSITY Training Center (DVTC). The DVTC provides in-depth training in a wide-range of data topics, for beginners to seasoned data professionals.

By using promo code “AlgminDL” you can save 20% off your first order of any DVTC purchase.

Data Architecture

A wide range of topics are presented within Data Architecture Fundamentals, including Data Governance, data foundations, design patterns, metadata and data lineage, systems development, pattern-based customization, Extract-Transform-Load (ETL) variants, data creation and transformation, data storage technologies and data warehousing, single cloud vs. multi-cloud models, API fundamentals, dimensional modeling, business vs. IT issues, how to create a compelling data architect profile, career pitfalls encountered, desired outcomes, and so much more.

Data Leadership

In the Data Leadership Learning Plan, instructor Anthony Algmin examines how data professionals, and the enterprises they work for, can make the most of data. Organizations need more than sophisticated technology and brilliant data scientists to utilize the value of their data assets. They need to harness data insights to improve business functions from top to bottom, and that takes Data Leadership.

Each of the eight courses in this Learning Plan provide the building blocks to become a data leader. If all eight courses are completed, a certificate of completion will be issued.

“What is…?” Build-Your-Own-Bundle

These courses are meant to help data and non-data professionals build a common language and understanding between them on significant data-related topics such as Data Management, Data Governance, Data Stewardship, Data Modeling, Data Architecture, and many others.

Data Governance for Non-Data Professionals

The Data Governance for Non-Data Professionals Learning Plan discusses the key concepts around Data Governance and associated practices. Data Governance is often misunderstood, yet it is an essential component of successfully managing data. It drives the business across the board and everyone in an organization needs to understand its value.

Data Modeling for Non-Data Professionals

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.