7 weeks · Live online · Applied track · Multidisciplinary
Sessions will be held from June 8th to July 22nd
On Mondays and Wednesdays, 6:00–7:00 PM.
Weeks 4 and 5, an additional Friday session from 6:00–7:00 PM.
Designed for undergraduate students and early-career professionals.
The Applied Track is well-suited for individuals across fields interested in developing the ability to analyze data and think critically about real-world questions.
This program is designed for students ready to move beyond learning tools and begin applying data in real-world contexts. Students work with complex, less structured datasets and are expected to define their problem question, make analytical decisions, and communicate their findings clearly. AI tools are integrated, not as shortcuts, but as thinking partners that students learn to use critically and strategically. Projects are completed in pairs and reflect the type of work expected in internships, research roles, and early-career positions.
By the end of the program, students leave with a tailored resume, a professional LinkedIn page, portfolio-ready analysis, a presentation with corresponding code that they can use in interviews, and the ability to translate data into impactful decisions.
7 weeks · Live online · Applied track · Multidisciplinary
Sessions will be held from June 8th to July 22nd
On Mondays and Wednesdays, 6:00–7:00 PM.
Weeks 4 and 5, an additional Friday session from 6:00–7:00 PM.
Designed for undergraduate students and early-career professionals.
The Applied Track is well-suited for individuals across fields interested in developing the ability to analyze data and think critically about real-world questions.
This program is designed for students ready to move beyond learning tools and begin applying data in real-world contexts. Students work with complex, less structured datasets and are expected to define their problem question, make analytical decisions, and communicate their findings clearly. AI tools are integrated, not as shortcuts, but as thinking partners that students learn to use critically and strategically. Projects are completed in pairs and reflect the type of work expected in internships, research roles, and early-career positions.
By the end of the program, students leave with a tailored resume, a professional LinkedIn page, portfolio-ready analysis, a presentation with corresponding code that they can use in interviews, and the ability to translate data into impactful decisions.