About the Course

See the syllabus for details. The course is divided into three rough parts,

  1. Core data science coding skills
  2. Modeling
  3. Advanced topics

Course Material

Date Lecture Slides Tutorial
Aug. 18 Welcome Slides
Aug. 20 Data Visualization Slides
Aug. 22 Data Visualization Tutorial 1(.rmd)
Aug. 25 RMarkdown I Slides Lecture 03
Aug. 27 RMarkdown II Tutorial 2(.zip)
Aug. 29 Data Transformation I Slides Lecture 04
Sep. 1 Labor Day (No Class)
Sep. 3 Data Transformation II Tutorial 3(.zip)
Sep. 5 Data Transformation III Slides Tutorial 4(.zip)
Sep. 8 Final Project Instruction
Data Import
Sep. 10 Exploratory Data Analysis
Sep. 12 Exploratory Data Analysis
Sep. 15 Well-Being Day (No Class)
Sep. 17 Tidy Data
Sep. 19 Tidy Data
Sep. 22 Project Proposal Discussion
Sep. 24 Project Proposal Discussion
Sep. 26 Project Proposal Discussion
Sep. 29 Joins
Oct. 1 Joins
Oct. 3 Factors
Oct. 6 Factors
Oct. 8 Programming I
Oct. 10 Programming II
Oct. 13 Programming III
Oct. 15 Programming IV
Oct. 17 Fall Break
Oct. 20 Programming V
Oct. 22 Modeling I
Oct. 24 Modeling II
Oct. 27 Modeling III
Oct. 29 Modeling IV
Oct. 31 Modeling V
Nov. 3 Modeling VI
Nov. 5 Modeling VII
Nov. 7 Modeling VIII
Nov. 10 Modeling IX
Nov. 12 Modeling X
Nov. 14 Modeling XI
Nov. 17 Modeling XII
Nov. 19 R Shiny
Nov. 21 Final Presentation
Nov. 24 Final Presentation
Nov. 26 Thanksgiving
Nov. 28 Thanksgiving
Dec. 1 Final Presentation
Dec. 3 Final Presentation

Homework Tracker

All homework assignments are to be submitted via Canvas.

Date assigned Instructions Due Date (Time)
Aug 18 HW1(.rmd) Aug 31 (11:55 PM)
Aug 31 HW2(.rmd) Sep 7 (11:55 PM)
Sep 7 A1([.zip]) Sep 21 (11:55 PM)
Sep 21 HW3 Sep 28 (11:55 PM)
Sep 28 HW4 Oct 5 (11:55 PM)
Oct 5 A2([.zip]) Oct 19 (11:55 PM)
Oct 19 HW5 Oct 26 (11:55 PM)
Oct 26 A13([.zip]) Nov 9 (11:55 PM)
Nov 9 HW6 Nov 16 (11:55 PM)
Nov 16 HW7 Nov 23 (11:55 PM)
Nov 23 A4([.zip]) Dec 3 (11:55 PM)

Final Project Details

For the final project, each section of STOR 320 will be divided (ideally) into research groups of size 5. To ensure fairness, students will be assigned randomly based on the sample function in R.

Research Group Assignments

To find your research group, see the spreadsheet sponsored by Google.

Four Roles

Although everyone is responsible for the entire project, each member of the group will be assigned a specific role for accountability and consistency. These four specific roles are described as follows:

  • The Creator: Meet with Instructor to Propose Your Group’s Research Idea, Lead Designer in Slides

  • The Interpreter: Schedule and Meet with Instructor or Instructional Assistant to Share Findings from Exploratory Analysis, Evaluate Practice Presentation

  • The Orator(s): Give a Captivating 5-7 Minute Slideshow Presentation During the Last Three Lectures

  • The Deliverer: Deliver Your Group from Evil by Editing and Submitting the Exploratory Analysis and Final Report via Canvas Before the Deadline

Four Parts Including Point Values

This final project will be divided into four parts worth a total of 100 points. Each part will have a clear rubric as non-subjective as possible. The parts along with total point values are found below:

Due Dates of Individual Parts

Part Description Method of Submission Due Date (Time)
P1 Project Proposal Canvas Sep 21 (11:55PM)
Proposal Meeting Class Sep 22 / Sep 24 / Sep 26 (Lecture time)
P2 Exploratory Data Analysis Canvas Oct 26 (11:55PM)
EDA Meeting Lab Week of Oct 27 to 31
P3 Final Report Canvas Dec 5 (11:55PM)
P4 Presentation Slides Canvas Nov 20 /Nov 23 /Nov 30 /Dec 2 (11:55PM)
Final Presentation Class Nov 21 /Nov 24 /Dec 1 /Dec 3 (Lecture time)

Above Average Final Projects from Previous Courses

Class Participation Record

To find your class participation record, see the spreadsheet sponsored by Google.

Acknowledgements

Thanks to Dr. Mario and Dr. Characiejus for sharing their course materials.

Reading

Additional resources

This page was last updated on 2025-08-29 15:30:11.19989 Eastern Time.