FRED Data Practitioner Digital Badge Program

This digital badge program focuses on seven foundational FRED® data skills and uses live data from FRED® to provide opportunities for hands-on practice and learning.

Each topic in the program (listed below) is matched to a digital badge issued by Credly. If you successfully complete individual modules, you will receive, at no cost, Credly badges certifying your achievement. After completing all seven individual modules, you will receive a digital micro-credential: FRED Data Practitioner.

Learn more about all our digital badges and how they can help with your professional development.

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  Saving Graphs and Downloading Data

  Finding and visualizing the data you need for a project is time-consuming. Knowing how to save your work and selecting the format appropriate for your project will help you access, share, and make further use of your data.

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  Identifying Data Sources and Release Frequencies

  Understanding how data are collected and revised is important for using the data correctly. Also, data can have a variety of terms of use, which determine how the data can be redistributed. Knowing how to identify the source, collection method, and copyright status (proprietary vs. public domain) will help you think critically about your data.

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  Understanding Data Types and Units

  Understanding what the data represent and exactly what is being measured is important for using the data correctly. Also, identifying and understanding the units of measurement and the methodologies employed to estimate and report statistical observations will help you select the data appropriate to your purposes.

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  Visualizing Data

  Creating data visualizations helps identify key takeaways in quantitative information. Data graphs are practical instruments of exploratory analysis showing trends, relative sizes, and correlations in data sets. Accurately designing and correctly interpreting data plots are preliminary steps for effectively communicating with data.

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  Storytelling with Data

  Concisely describing data helps communicate the key features of quantitative information and connect those features to persuasive arguments. Clearly explaining what the data are and placing them in a relatable context make quantitative analysis accessible to diverse audiences.

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  Acting on Data

  Making choices using quantitative information requires numeracy competencies and skills. Although these competencies and skills can be both very broad and very deep, this module will provide a good foundation for conducting exploratory analysis using data visualizations.

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  Using Data Ethically

  Users of data must adopt ethical practices when gathering, analyzing, and sharing data. Unethical data practices undermine the end-uses of quantitative information. The principles of data ethics apply to all stages of data-related work, from collection to citation.

Endorsements

This badge is endorsed for professional development purposes by organizations such as the Council for Community and Economic Research (C2ER).


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