About the Course
See the syllabus for details. The course is divided into three rough parts,
- Core data science coding skills
- Modeling
- Advanced topics
Instructor: Yao Li
Instructional Assistants:
- Jack McPherson
- Email: jackrymc AT unc DOT edu
Grader:
- Riley Harper: riley DOT harper AT unc DOT edu
Class:
- Lectures: MWF 1:25PM-2:15PM, Hanes 120
- Lab 320.404: T 12:30PM – 1:20PM, HN107
- Lab 320.405: TH 12:30PM – 1:20PM, HN107
- Lab 320.406: T 2:00PM – 2:50PM, HN107
- Lab 320.407: TH 2:00PM – 2:50PM, HN107
Office Hours:
- Instructor Office Hours: W 9:00AM-11:00AM, Office: Hanes 334
- TA Office Hours: TTH 11:00AM-12:00PM, Office: Hanes B30
Course Material
| Date | Lecture | Slides | Tutorial |
|---|---|---|---|
| Aug. 18 | Welcome | Slides | |
| Aug. 20 | Data Visualization | Slides | |
| Aug. 22 | Data Visualization | Tutorial 1(.zip) | |
| 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 | ||
| Sep. 8 | Data Transformation IV | Slides | |
| Sep. 10 | Data Transformation V | Tutorial 4(.zip) | |
| Sep. 12 | Final Project Instruction | Slides | |
| Data Import | Slides | ||
| Sep. 15 | Well-Being Day (No Class) | ||
| Sep. 17 | Exploratory Data Analysis | Slides | |
| Sep. 19 | Exploratory Data Analysis | Tutorial 5(.zip) | |
| Sep. 22 | Project Proposal Discussion | ||
| Sep. 24 | Project Proposal Discussion | ||
| Sep. 26 | Project Proposal Discussion | ||
| Sep. 29 | Tidy Data I | Slides | |
| Oct. 1 | Tidy Data II | Tutorial 6(.zip) | |
| Oct. 3 | Joins | Slides | Lecture 10 |
| Oct. 6 | Factors | Slides | |
| Oct. 8 | Programming I | Slides | |
| Oct. 10 | Programming II | Tutorial 7(.zip) | |
| Oct. 13 | Programming III | Tutorial 8(.zip) | |
| Oct. 15 | Programming IV | Slides | |
| Oct. 17 | Fall Break | ||
| Oct. 20 | Programming V | Slides | |
| Oct. 22 | Modeling I | Slides | |
| Oct. 24 | Modeling II | Slides | Tutorial 9(.zip) |
| 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 | Modeling XIII | ||
| 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(.rmd) | Sep 28 (11:55 PM) |
| Sep 28 | HW4(.rmd) | Oct 8 (11:55 PM) |
| Oct 5 | A2(.zip) | Oct 19 (11:55 PM) |
| Oct 19 | HW5(.rmd) | Oct 26 (11:55 PM) |
| Oct 26 | A3(.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:
- P1: Project Proposal (10 Points)
- P2: Exploratory Data Analysis (20 Points)
- P3: Final Written Paper (40 Points)
- P4: Final Presentation (30 Points)
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
R for Data Science (R4DS)
R Programming for Data Science (RP4DS)
Text Mining with R (TMwR)
The Art of R Programming (AoRP)
ModernDive (MD)
Additional resources
This page was last updated on 2025-10-15 15:17:32.772123 Eastern Time.