Summer Fellowship
- Difficulty
- Beginner
- Cost
- N/A
- Format
- Instructor Led
- Delivery
- In-Person
- Time Commitment
- 1 week 1 hr/week
Summary
The Eric & Wendy Schmidt Data Science for Social Good Fellowship is a summer program at the University of Chicago, focusing on data science projects with social impact. Over three months, fellows collaborate with governments and nonprofits on real-world issues, enhancing skills in data mining, machine learning, and big data. Participants work in teams, supported by mentors from academia and industry, to address challenges in sectors like health, education, and transportation.
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Before You Learn / Who This Course Is For
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Graduate and undergraduate students in quantitative fields
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Open to aspiring data scientists worldwide
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Ideal for those interested in social impact projects
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What to Expect
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Three-month program in Chicago
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Hands-on projects with nonprofits and government
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Mentorship from industry and academic experts
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What You'll Achieve
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Enhanced skills in data analytics and machine learning
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Experience in high-impact social projects
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Collaboration experience with diverse teams
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Course Reviews
Ankit Dedha
Student 2009
The course curriculum is well-structured and divided into multiple modules covering fundamental to advanced concepts. Key highlights include:
The course content is typically aligned with current industry standards and includes practical case studies to enhance understanding. Most programs are divided into beginner, intermediate, and advanced levels, making them accessible to learners from different backgrounds.