Applied Data Institute
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Academic Level: Post-Baccalaureate
Graduate Students (Masters)
Graduate Students (PhD)
Postdoc & Early Career
Description: The Applied Data Institute at Equitech Futures empowers recent graduates and young professionals to become the next generation of data-savvy leaders in their respective domains. Our research-based curriculum, anchored in small-group learning and led by world-class faculty, provides a practical understanding of applied data science and AI across various domains.
How will AI transform law, medicine, and art? How can modern data science tools be used in academic research? The Applied Data Institute will provide the tools, networks, and perspectives you need to thrive in the 21st-century workforce.
Modern data science is best learned by doing. While a number of bootcamps and data science courses focus on specific tools (for example, mastering specific packages in Python), we take a different approach. The Applied Data Institute teaches you how to "think like a data scientist" via hands-on projects and "idea labs" that encourage you to explore topics deeply. You will also cultivate the essential skill of "learning to learn" which will equip you to tackle present and future challenges.
The ideal candidate for the Applied Data Institute is a recent college graduate with technical skills looking to cultivate their skills in the context of data science and AI. We do not consider GPAs or grades in the application process, but we require fluency in programming and mathematical reasoning. We are looking for people who are curious, analytical, persistent, and open-minded when confronted with challenging problems.
A technical screening will examine candidates for fluency in Python programming (including NumPy, Pandas, & matplotlib) and mathematical reasoning (e.g. algebra, calculus).
Participating Institution(s):(Click an institution to see all programs it hosts or sponsors)Program Materials: Program VideoThis Program can be Described by:Academic Disciplines:
Applied Mathematics
Artificial Intelligence
Computational Sciences
Computer Sciences
Information Sciences
Mathematics
Philosophy & Ethics
Policy
Statistics
STEM Fields
Keywords:
Applied Statistics
Artificial Intelligence
Bayesian Methods
Collaborative Research
Computational Statistics
Data Analysis
Data Science
Mathematical Modelling
Statistical Modelling
Visualization
Learn More and Apply! Page last updated 8/14/2024
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