TIU Data Science & Analytics

Why DSA

Employers ask for portfolios and tools; transcripts alone don’t show what you can do. DSA is structured practice—with proof.
Excel → SQL, Power BI, Python, and R: weekly sessions, one member hub, admin reviews—so skills don’t disappear between terms.

Registered with EEASA as an official Tokyo International University student organization. Est. 2024. Faculty-backed; aligned with the university.

How it works

Learn → Build → Earn

Learn

Core path: Excel → SQL → Power BI → Python → R.

Submit each unit as a GitHub folder; admins Pass you to the next unlock.

Build

Tasks, repos, and time logs in one dashboard.

Workshops add résumé-ready work; you always see pending vs. done.

Earn

Certificate when published rules are met—all visible in the app.

Opportunities feed plus logged hours back what you tell recruiters.

What you get

At a glance

Portfolio
GitHub links per unit; admins record Pass/Fail.
Certificate
When attendance, hours, and tasks meet the rules in the app.
Skills
Excel through R; unlock order follows the curriculum map.
AI basics
Using AI responsibly—honesty and data care in sessions.
Opportunities
Internships and research in the feed—DBI advisors, campus, and partners like The Abroad Company.
Community
Meeting Every Monday at 07:10 PM on campus; Discord after onboarding.

Tools

Core sequence

Excel
SQL
Power BI
Python
R

Exact unlock rules live in the app—this is the default order for new members.

Many more courses are ready to take beyond this core path—you'll find them in the app as you unlock and explore.

Workshops

Sessions & archive

Highlights below. Open the full public schedule for every upcoming session and the past archive.

All workshops

Upcoming

No upcoming workshops listed yet. Check back soon or follow club announcements.

Recent past

K-Means Clustering Mastery Series by Nora Sharkasi
Thu, Oct 24, 2024, 7:00 PM
Facilitator: Nora Sharkasi
Online (Link was shared via email)
Ever wondered how to find patterns in data? K-Means Clustering is a powerful technique that helps you group similar data points, uncover hidden structures, and make data-driven decisions. Whether you're aiming for a career in data science or just want to understand how companies make sense of massive datasets, K-Means is a must-know tool! * Why it matters? It's essential for anyone looking to excel in data analysis, Al, and machine learning. Gain hands-on experience from a seasoned expert. Perfect for students who want to build a strong foundation in data science and analytics.

Opportunities

Internships & research

We’re actively building this feed: internships from partner organizations and research opportunities with TIU faculty. Nothing is posted yet—once roles are confirmed, they’ll show up here and in member announcements.

View opportunities

What we're building

Internship-style roles shared by partner companies we work with.
Research openings and faculty-led projects through TIU DBI / Data Science advisors.
A single feed in the app once listings are confirmed—plus announcements when something goes live.