Schoolhouse.world: peer tutoring, for free.
Schoolhouse.world: peer tutoring, for free.
Schoolhouse.world: peer tutoring, for free.
R Studio for Data Analysis Bootcamp (Beginner Friendly with Light Prerequisites)

SAT Score Range

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2 sessions

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About

Are you looking for a new skill to learn over the summer, or for something new to put on your resumé? Or perhaps you're still a high school student and you want to do a data/coding passion project to impress colleges you're applying to. This summer bootcamp provides will provide an in-depth and hands-on introduction to R Studio where we will be analyzing and interpreting real world datasets.

This bootcamp has light prerequisites. The bootcamp is beginner-friendly but assumes:

1) Comfort with basic algebra (solving equations, interpreting graphs)

2) Familiarity with scatterplots and concepts like mean, variability, and correlation.

3) No prior experience with R is required. Also, no prior coding experience is required.

Topics covered include: Fitting regression models and interpreting output with R, model diagnostics and assumptions, how to improve a model, multicollinearity, comparing groups with ANOVA, logistic regression, and cross-validation.

Tutored by

Christian D 🇺🇸

Certified in 26 topics

View Profile

Hello! I am a third-year college student double majoring in Math and Statistics at UNC Chapel Hill. My favorite topics to teach are calculus, statistics, biology, and SAT math. I am avid to teach because in the process, I learn a lot as well! Feel free to DM me on the Schoolhouse Slack workspace if you have any questions or concerns. Math Tutor Credentials: 790 SAT Math Score, 5 on AP Calculus AB/BC exam, 5 on AP Statistics Exam

Sessions

✋ ATTENDANCE POLICY

Topics build on one another, so it is highly NOT recommended that you miss more than two sessions. Template/follow-along slides and code for a session will ONLY be given to those who attended that session.

SESSION 1

18

May

SESSION 1

Other Topics

Other Topics

Mon 5:30 PM - 6:30 PM UTCMay 18, 5:30 PM - 6:30 PM UTC

Session 1: Introduction to the bootcamp and the tutor, downloading R, modeling/coding basics, reading output.
SESSION 2

20

May

SESSION 2

Other Topics

Other Topics

Wed 5:30 PM - 6:30 PM UTCMay 20, 5:30 PM - 6:30 PM UTC

Session 2: Creating/interpreting boxplots and scatterplots in R, summary statistics, understanding data (rows, columns, variables, observations).

**MORE SESSIONS TO BE ADDED.**

Public Discussion

Please log in to see discussion on this series.

May 18 - May 20

1 week

60 mins

/ session

Next session on May 18, 2026

SCHEDULE

Monday, May 18

5:30PM

Wednesday, May 20

5:30PM