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BPI Data ScienceAnalytics Fellowship Program

BPI Data Science/Analytics Fellowship Program at Arcadia University, USA

Arcadia University is offering BPI Data Science/Analytics Fellowship Program in Data Analytics and Data Science for the academic session 2023/2024.

This fellowship is worth $2,946.66 and is available to students enrolled in a research degree program at Arcadia University. Eligible countries for this fellowship include the United States. Students can apply for this fellowship by submitting an online application.

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Application Deadline: January 15, 2023.

Brief Description

  • Organization:  Arcadia University
  • Department: N/A
  • Course Level: Research
  • Award Amount: $2,946.66
  • Number of Awards: N/A
  • Access Mode: Online
  • Nationality: Domestic Student
  • Subject: Data Analytics, Data Science
  • Eligible Countries: United States
  • Eligibility: Students can apply for a research degree offered at Arcadia University.
  • The award can be taken in the USA.

BPI Data ScienceAnalytics Fellowship ProgramAbout

BPI is looking for talented and diverse individuals to join our Data Science/Analytics Fellowship Program. Our fellowship program is a full-time opportunity with the potential to extend for another term based on performance. The ideal candidate will be analytical and detail-oriented, with strong coding skills and a desire to provide high-quality work for our clients and causes.

In addition to receiving direct mentoring, fellows will have exposure to different business areas to enhance their analytical and coding skills. This is a great opportunity for those passionate about data science and analytics to develop their skills and knowledge in a professional setting.

Eligibility

  • College student or recent graduate
  • Be available for the full duration of the fellowship, full-time (40 hours/week)
  • You‡re passionate about analytics, and it shows through your coursework, school projects, and internships.
  • Have experience (even if it‡s just in a classroom) with some of the tools we use to analyze data and build things: R and SQL (analytics); Python and SQL (tech); or R / SPSS (survey operations)
  • Self-motivated with high levels of organization and attention to detail
  • Willingness to work in a fast-moving environment while managing multiple tasks and activities simultaneously

How to Apply

Applicants can apply through the online processor.

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