Schoolhouse.world: peer tutoring, for free.
Schoolhouse.world: peer tutoring, for free.
Schoolhouse.world: peer tutoring, for free.
Foundations of Data Analysis with Python

SAT Score Range

•

5 sessions

•

+12

•

Registration full

This series is full. Spots may open up, so try checking back later!

About

This course introduces the fundamentals of data analysis using Python. We will cover core concepts in NumPy and pandas, focusing on how to manipulate, analyze, and interpret data. Learners will actively engage by solving problems together during the session and applying concepts step by step.

Tutored by

Changhoon K 🇰🇷

Certified in 1 topic

View Profile

Hi! I’m a high school student who is passionate about math and computer science. I enjoy problem-solving, coding, and exploring how algorithms can be applied to real-world challenges. I’m joining Schoolhouse to share my knowledge, help other students build confidence in these subjects, and learn from the global community along the way. My goal is to make math and computer science more approachable and enjoyable for everyone.

Sessions

✋ ATTENDANCE POLICY

Please try to attend all sessions in the series, as each session builds on the previous one. If you are unable to attend a session, please inform the tutor in advance. Missing more than two sessions in a row may result in removal from the series to ensure a productive learning environment for all participants.

SESSION 4

21

Feb

SESSION 4

Python

Python

Sat 2:30 PM - 3:00 PM UTCFeb 21, 2:30 PM - 3:00 PM UTC

In this session, we will solve comprehensive data analysis problems that combine both NumPy and pandas. This session emphasizes thinking through data problems and choosing the appropriate tools.
SESSION 5

22

Feb

SESSION 5

Python

Python

Sun 2:30 PM - 3:00 PM UTCFeb 22, 2:30 PM - 3:00 PM UTC

In this session, we will solve comprehensive data analysis problems that combine both NumPy and pandas. This session emphasizes thinking through data problems and choosing the appropriate tools.

Public Discussion

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Feb 18 - Feb 22

1 week

30 mins

/ session

Next session on February 21, 2026

SCHEDULE

Wednesday, Feb 18

2:30PM

Thursday, Feb 19

2:30PM

Friday, Feb 20

2:30PM

Saturday, Feb 21

2:30PM

Sunday, Feb 22

2:30PM