Schoolhouse.world: peer tutoring, for free.
Schoolhouse.world: peer tutoring, for free.
Schoolhouse.world: peer tutoring, for free.
Become a Data Detective: Mining Insights with RapidMiner

SAT Score Range

•

1 session

•

+7

This series was cancelled by the tutor on December 23, 2025. We're very sorry–you can explore more Enrichment series here. All 1:1 and group chats related to this series are disabled 7 days after the last session.

About

In this class, learners will explore the fundamentals of machine learning and data mining, starting with a quick background overview. Then, we’ll move into hands-on practice using RapidMiner, a no-code data mining tool. Students will learn how to prepare data and build real models such as prediction, classification, and clustering through simple drag-and-drop workflows. No prior experience is required, just curiosity and a desire to discover patterns in data!

Tutored by

Ipsa R 🇺🇸

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I’m Eepssa Rout, a recent Master’s graduate in Business Analytics from George Mason University. I enjoy helping students explore data mining and machine learning by breaking complex concepts into simple, practical steps. Using beginner-friendly, no-code tools like RapidMiner, I guide learners as they work with real data and understand how models and patterns appear in everyday life. I’m joining Schoolhouse to spark curiosity, build confidence and support anyone eager to discover the fundamentals of data, analytics, and ML.

Sessions

✋ ATTENDANCE POLICY

This class is designed for high school learners in 11th or 12th grade who are interested in data analytics. Students should join each session on time and be prepared to actively participate in both the discussion and hands-on activities. A laptop is required to run RapidMiner for the better learning experience. If a student misses multiple sessions or is unable to engage with the class requirements, they may be withdrawn to allow space for other learners.

SESSION 1

8

Dec

SESSION 1

Study Spaces

Study Spaces

Mon 10:00 PM - Tue, 12:00 AM UTCDec 8, 10:00 PM - Dec 9, 12:00 AM UTC

In this class, you’ll learn the fundamentals of data mining and explore key concepts. I’ll demonstrate how models work and run examples in RapidMiner, giving you a clear understanding before diving into practical exercises and theory in the following sessions.

Public Discussion

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Dec 8

1 week

120 mins

/ session

SCHEDULE

Monday, Dec 8

10:00PM