Our training sessions.
Dataploma Benefits
Responsive, technology-agnostic, data-centric training
Opportunity to involve non-technologists
Interactive sessions that result in real business artifacts to drive change
Engaging, empathetic, and educational trainer
Low cost compared to other training solutions
Lunch for the team each day
Dataploma course completion recognition for each attendee
Discount offered for additional sessions
Every Dataploma training session is unique. We focus on key principles in data, while staying responsive to your team members as we progress through course material.
Dataploma is technology-agnostic, meaning that we aren’t here to sell you on any particular software or hardware platform. Our goal is to get your company, even the non-data professionals, thinking about your business in a data-centric way. We might mention terms or products that people might hear about, but we’ll let your technologists determine the right solution. We just want to get your people thinking and speaking about data the right way.
Finally, Dataploma is interactive. We pause in our training regularly to reflect on how the material relates to your business, building skills in real time and resulting in real artifacts that your business can start using right away.
Day one.
Your team learns about the basics of data: what it is, where it comes from, how to recognize it. We discuss concepts of entities, attributes, keys, and relationships. We explore how business processes create and consume data.
In interactive sessions, the team engages in an exercise to break down a variety of your business processes, identify the data they create or use, and construct relationships. We build a data model specifically for your organization.
Day two.
Today, we cover at a high level the problems that come along with data processing: missing, dirty, or inaccurate data. Your team explores the concepts of data cardinality, derived metrics, and standardization.
In interactive sessions, the team identifies and considers your data challenges, builds ideas around derived metrics, and refines their data model. The team develops a list of your data gaps.
Day three.
In our final session, we discuss the consumption of data. Your team explores common types of analysis: descriptive, predictive, prescriptive. We consider the types of questions data can answer. We talk about terminology and technology.
In interactive sessions, the team generates a list of your analytics opportunities, explores the potential for improving your business processes to be more data-centric, and leaves with Dataploma documentation and thoughtful suggestions for change.