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

•

9 sessions

•

+10

This series ended on February 27, 2026. All 1:1 and group chats related to this series are disabled 7 days after the last session.

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 1

18

Feb

SESSION 1

Python

Python

Wed 2:30 PM - 3:00 PM UTCFeb 18, 2:30 PM - 3:00 PM UTC

In this session, we will apply NumPy concepts by solving practice problems together. Learners will practice manipulating arrays and performing computations to reinforce their understanding.
SESSION 2

19

Feb

SESSION 2

Python

Python

Thu 2:30 PM - 3:00 PM UTCFeb 19, 2:30 PM - 3:00 PM UTC

This session covers the basic concepts of pandas, including Series, DataFrames, indexing, filtering, and basic data operations commonly used in data analysis.
SESSION 3

20

Feb

SESSION 3

Python

Python

Fri 2:30 PM - 3:00 PM UTCFeb 20, 2:30 PM - 3:00 PM UTC

We will focus on applying pandas concepts through hands-on problem solving. Learners will work with realistic data examples and practice cleaning, transforming, and analyzing data.
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.
SESSION 6

23

Feb

SESSION 6

Python

Python

Mon 2:30 PM - 3:00 PM UTCFeb 23, 2:30 PM - 3:00 PM UTC

Pandas session3
SESSION 7

25

Feb

SESSION 7

Python

Python

Wed 2:30 PM - 3:00 PM UTCFeb 25, 2:30 PM - 3:00 PM UTC

Pandas session4
SESSION 8

26

Feb

SESSION 8

Python

Python

Thu 2:30 PM - 3:00 PM UTCFeb 26, 2:30 PM - 3:00 PM UTC

Pandas session5
SESSION 9

27

Feb

SESSION 9

Python

Python

Fri 2:30 PM - 3:00 PM UTCFeb 27, 2:30 PM - 3:00 PM UTC

numpy, pandas exercise.

Public Discussion

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Feb 18 - Feb 27

2 weeks

30 mins

/ session

SCHEDULE

Wednesdays

2:30PM

Thursdays

2:30PM

Fridays

2:30PM

Saturdays

2:30PM

Sundays

2:30PM

Mondays

2:30PM