Data Science Education and Workforce

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DATA SCIENCE EDUCATION & WORKFORCE OVERVIEW

The ability to utilize and understand data is an increasingly critical skill for the evolving 21st century workforce, as espoused in studies and reports by National Academies and Federal Agencies. Because data literacy at multiple levels is now needed in almost every technical and business sector, there is a severe shortage in skilled workforce to meet current and emerging demands. To combat this shortfall, an all hands on deck approach is needed. K-12 systems, colleges and universities, including community colleges, underrepresented groups, and women must be engaged in data science training for the modern workplace.

 

IMPACT

  • $280,000+ in funding for students to gain real-world data-related career experience
  • Data science training workshops at 7 minority-led, -serving, primarily teaching institutions, community colleges and four-year liberal arts colleges
  • 100+ direct and indirect learners who benefited from workshops/bootcamps, modules, and courses taught by DataUp trained faculty members

 

VIEW ABOUT OUR WORK IN DATA SCIENCE EDUCATION AND WORKFORCE DEVELOPMENT

High Impact Applications of Data Science in Precision Medicine, Health Analytics, and Health Disparities
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The 2018 DataUp program includes seven institutions from Historically Black Colleges and Universities (HBCUs), Hispanic-Serving Institutions (HSIs), and other minority-serving institutions (MSIs), community colleges, and primarily teaching-focused institutions. Institutions will receive a 2-day data science workshop on their respective campuses and travel funding for an in-person ‘train-the-trainers’ workshop in Atlanta, GA to prepare teams to teach regional data science workshops. 
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The meeting will include presentations on current Spoke projects, a fireside chat on collaborations in data science, as well as breakout sessions for future Spoke proposals.
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he South Big Data Innovation Hub sponsored five graduate students for a panel at the undergraduate conference “StatFest”, which is a one day conference aimed at encouraging undergraduate students from historically underrepresented groups (African American, Hispanic, Native Americans) to consider careers and graduate studies in the statistical and data sciences. Students participated as panelists for the 2017 StatFest held at Emory University to share their experiences of being a statistics major, and as a minority or persons of color in the field, to encourage undergraduate students to enter the statistics field.
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Two groups with a keen interest in data science have teamed up to produce a report that examines what the Tar Heel state needs to do to be a leader in the emerging data economy.
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The South Hub awarded five student's registration fellowships through the SNAP-DS program, “Stimulating New Activities and Projects in Data Science,” to attend the Young CEOs Business Summit's (YCBS) 2018 Annual Summit in Atlanta, that expose students to data science and the ways data science can better societies and businesses.   Students quickly became aware of big data and ways big data can impact emerging markets in Africa.
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South Big Data Hub is partnering with Data Science for Social Good- Atlanta to bring nine graduate students from various southern states to participate in a ten-week paid internship experience.
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Successful workforce diversity efforts don’t stop with hiring people of different ages, races, genders, and sexual orientations. View this post for tips for building a strong and diverse data science workforce.
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Program participant describes their summer semester as a data.world intern apart of the DataStart program. Participants fellowship specifically focuses on U.S. Census data democratization and accessibility.
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DataStart provides real-world experiences for students while helping entrepreneurial companies Graduate students from six universities in the southern U.S. will spend the summer working on data challenges important to the success of new and growing technology companies thanks to a program called the Southern Startup Internship Program in Data Science (DataStart). DataStart interns will address a wide range of data-related business problems, including spotting trends in the diversity of people included in clinical trials, developing methods for using sensor data to detect loads on wind turbines, and the challenges of cleansing and standardizing data to extract more knowledge from it.
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