# Data Fluency

**Source**: https://www.brown.edu/undergraduate-programs/data-fluency-certificate
**Parent**: https://www.brown.edu/undergraduate-programs

The undergraduate Certificate in Data Fluency is for undergraduates who wish to gain fluency and facility with the tools of data analysis and its conceptual framework.

Degree Type

Certificate

[Data Science Initiative](https://www.brown.edu/a-z/data-science-institute)

[More information](https://www.brown.edu/initiatives/data-science/academics/certificate-data-fluency)

[All Programs](https://www.brown.edu/undergraduate-programs)

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- [Biostatistics](https://biostatistics.sph.brown.edu/)
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## [General Undergraduate Certificate Policies & Guidelines](https://college.brown.edu/design-your-education/complete-your-degree/degree-options/undergraduate-certificates)

# Data Fluency

The undergraduate Certificate in Data Fluency is for undergraduates who wish to gain fluency and facility with the tools of data analysis and its conceptual framework.

The Certificate in Data Fluency provides a curricular structure to undergraduates in concentrations other than applied math, computer science, math, and statistics who wish to gain fluency and facility with the tools of data analysis and its conceptual framework: the driving intellectual question is how we can infer meaning from data whilst avoiding false predictions. The required experiential learning component provides students with the opportunity to apply their data-science skills in their concentration, engage in research that uses data science, teach data science as an undergraduate teaching assistant, or undertake an internship that has a substantive data-science component.

- [List of requirements](https://bulletin.brown.edu/the-college/undergraduatecertificates/dtfl)

## Student Goals

Students in this certificate will:

- Create and formulate domain-specific questions and connect them with appropriate data sets
- Acquire, curate, and process data sets to make them amenable to data analysis
- Demonstrate a basic understanding of data-science techniques including inference, data-based modeling, machine learning, and visualization
- Implement algorithms and data-science techniques in Python
- Apply statistical algorithms to data to extract meaningful information and answer real-world questions
- Demonstrate critical thinking and skepticism in data analyses
- Communicate outcomes effectively using exploratory or explanatory visualizations

The Director is typically the first point of contact for students interested in pursuing an undergraduate certificate. Once students have declared a certificate, they may be assigned a specific advisor from within the department or program.

- [Sohini Ramachandran](mailto:Sohini_Ramachandran@brown.edu)

- [Ahsan Ashraf](mailto:ahsan_ashraf@brown.edu)
- [Karianne Bergen](mailto:Karianne_Bergen@brown.edu)
- [Linda Clark](mailto:Linda_Clark@brown.edu)
- [Diana Freed](mailto:diana_freed@brown.edu)
- [Sohini Ramachandran](mailto:Sohini_Ramachandran@brown.edu)
- [Suresh Venkatasubramanian](mailto:suresh_venkatasubramanian@brown.edu)

## [General Undergraduate Certificate Policies & Guidelines](https://college.brown.edu/design-your-education/complete-your-degree/degree-options/undergraduate-certificates)