D3 Data Workshops

Data workshops that meet your needs

Take a look through our workshop menu below! For each one we show how long the session might last and whether we offer the workshop in-person or online. We are also happy to have a conversation about personalizing a workshop’s content to meet the unique needs of your group. Please reach out to us through AskD3 to request a workshop.

Workshop duration

Available online

Available in person

Workshop duration

Available online

Available in person

Intro to Data and Data Driven Detroit

This intro session helps describe the work that D3 does in the community with an overview of the different types of data we work with, the tools we steward, and the services we provide for the community.

State of the Detroit Child Portal Tutorial

This workshop teaches users how to access data within the State of the Detroit Child Portal for different cities, counties, school districts, and neighborhoods across the state of Michigan.  It includes data relevant to all ages. The workshop provides a hands on opportunity to dive into the resource with your organization’s own data questions.

Housing Information Portal Tutorial

This workshop teaches users how to access data within the Housing Information Portal for different cities, counties, and neighborhoods across the state of Michigan. It includes a variety of national and local data covering topics like occupancy, housing value, permits and more. The workshop provides a hands on opportunity to dive into the resource with your organization’s own data questions.

Regional Context Presentation

This workshop reviews historical data and trends in the Metro Detroit area to provide attendees with a grounding in the regional context. This includes migration trends, population demographics, and employment trends.

Icons for online and in person meeting

Data Basics

This workshop is a high-level overview for nonprofits about fundamentals of data and how organizations can use them to strengthen programming or grant applications.

Lessons from the Field

Learn important takeaways from D3’s extensive experience with data collection and analysis. Some of the topics included are: respecting data rights, how to design with communities, ensuring the right question is being asked, and the importance of continuous evaluation.

Responsible Data Consumption

Understanding how to utilize and fact check other people’s data and reporting about the data is important in our current landscape. Learn from D3 how to utilize different tips to understanding data:

  1. Define the terms;
  2. Think about the context;
  3. Know the data limitations;
  4. Understand the analysis;
  5. Be skeptical and dig deeper.

Data Ethics

Understanding the impact our data collection and analysis can have on others is an important aspect of data collection and analysis. This workshop explores ways to ethically maintain and utilize data such as informed consent, suppression protocols, and participatory data analysis. It also provides an overall framework for essential questions at each stage of a research process.

How to Use Data

This workshop is a 2 hour overview of our Data University content with an emphasis on the research process and ethical considerations for each step.

Data University Cohort

These 6 workshops were designed to be given in a cohort model with the same group of people meeting six separate times over the course of a few months. The workshops are highly interactive and are best completed in an in-person setting. However, they can also be adapted to be standalone workshops and some can be facilitated online.

Fundamentals of Data

The first workshop dives into important questions such as “what is data?” and “why does it matter?” We introduce basic data definitions to provide a foundation for more complex data concepts as the course progresses. Participants will begin to think about data collection opportunities, both in their everyday lives and within their organizations. They will then identify organizational goals as well as the steps required to achieve those goals, to see how the measurements map back to those goals.

Critical Thinking

The second workshop introduces a common research method, showing how to structure a research project from ideation to action. Participants will then be introduced to various aspects of data, such as geography and source, to help learn best practices around data collection, data evaluation, and thinking critically about data questions.  Finally, participants begin designing a study and identifying the types of questions a dataset might answer.

Critical Methods

The third workshop begins to dive deeper into the nitty gritty of data analysis definitions and tools to build on the fundamentals learned in the first workshop. Participants will be introduced to basic statistical concepts such as mean, median, and margin of error as well as how to calculate them. We then transition to basic analysis types and challenge participants to examine an example of tabular data and identify actions that could be taken based on the insights gained.

Information Portals

The fourth workshop consists of two hands-on demonstrations of interactive data resources. The first introduces State of the Detroit Child, an online tool that allows users to visualize, interact with, and download data for anywhere in Michigan. The other provides a deep dive into open data portals. These demonstrations facilitate an understanding of the kinds of data that are publicly available and how to access them with minimal effort.

Data for Action

The fifth workshop is a hands-on demonstration of Microsoft Excel. Participants will learn basic and intermediate Excel skills that prove useful in data work. Once familiar, participants use these techniques to analyze their own dataset and gain insights about their own work habits.


In the final workshop, participants will learn to use the data they’ve analyzed to tell a story.  This includes identifying a target audience, learning different types of stories that can be told, and the best types of visualizations to tell each kind of story. Participants then build a data story of their own using the analysis they created during the previous workshop.

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