Exam 1 Prep

CAP 5771 — Intro to Data Science — Spring 2025

This document is to guide you in your preparation for Exam 1. Below we describe the exam format, the topics covered, and the resources you can use to prepare. The exam is meant to serve as a checkpoint to ensure you are grasping the material we have discsussed up to this point. We will have a exam review during the class period before the exam.

• Exam 1 Prep
  • CAP 5771 — Intro to Data Science — Spring 2025
  • Exam Dates and Times
    • What to bring to the exam
  • Exam Format
  • Topics Covered
  • Enumerated Resources
    • Textbook
    • Codio Modules
    • Sample Exam Questions
      • Other questions

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Exam Dates and Times

If you are enrolled with Dr. Grant, you will have a two day exam; part 1 will be Wednesday, 2/26 and part 2 will be Friday, 2/28. If you are enrolled with Dr. Cruz, the full exam will be help in-class on Thursday, 2/27. Students taking the Thursday exam will take parts 1 and 2 on the same day.

If you need exam accomodations, please register with the DRC and let me know as soon as possible DRC Registration | Accommodated Testing. Please refer to the Syllabus for details on conflicts, illnesses, etc.

What to bring to the exam

In the exam, be prepared to bring and use the following items:

• Student ID to verify your identity.
• Pencil or pen.

Exam Format

The exam will be partially multiple choice and partly free response. You will not need a ``cheet sheet’’ for the exam. The exam will be strictly paper based. Some questions may involve Python or library operations but they will not require the recollection of overly specific syntax.

Topics Covered

The exam will cover the broad topics discussed in class. Any material distributed is fair game. Professors may have emphasied some topics more than others, but all topics are important.

Enumerated Resources

Textbook

• Chapter 1
• Chapter 2
• Chapter 3
• Chapter 4 (up to 4.2.3)

Codio Modules

• Data Exploration Demo
• Data Exploration Lab
  • Tasks 1-8
• Data Wrangling Demo
• Data Wrangling Lab
  • Tasks 1-4, 7

Sample Exam Questions

• Discussion 1: On Data Exploration
• Discussion 2: On Data Wrangling

Other questions

The questions that make it to the exam will be similar to the questions in the sample exam questions. Below are some questions formats that we expect.

• Given this snipped of code, will the data frame be modified?
• Given the two table and the result set, what operation would cause this?
• Visualization question: Given given a visualization which of the following choices is a correct statement?
• Which is an advantage of using X or Y? (Where X and Y are concepts we have discussed)
• What do you you need to be aware of when imputing using the mean of an attribute?

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