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. 19 Welcome Slides
Data Visualization Slides Tutorial 01(.rmd)
Aug. 24 RMarkdown I Slides
Aug. 26 RMarkdown II Tutorial 02 sol(.zip)
Aug. 31 Data Transformation I Slides Lecture 04
Sep. 2 Data Transformation II Slides Tutorial 03 sol(.rmd)
Sep. 7 Final Project Instruction Slides
Data Transformation III Tutorial 04 sol(.zip)
Sep. 9 Data Import Slides
Sep. 14 Project Proposal Discussion
Sep. 16 Project Proposal Discussion
Sep. 21 Exploratory Data Analysis Slides
Sep. 23 Tidy Data Slides Tutorial 06 sol(.rmd)
Sep. 28 Joins Slides Lecture 10
Sep. 30 Factors Slides
Oct. 5 Programming I Slides Tutorial 09 sol(.rmd)
Tutorial 10 sol(.rmd)
Oct. 7 Programming II Slides
Oct. 12 University Day (No Class)
Oct. 14 Programming III Slides
Oct. 19 Modeling I Slides
Oct. 21 Fall Break
Oct. 26 Modeling II Slides Tutorial 11 sol(.zip)
Tutorial 12 sol(.zip)
Oct. 28 Modeling III Slides Tutorial 13 sol(.zip)
Nov. 2 Modeling IV Slides
Nov. 4 Modeling V Slides
Nov. 9 Modeling VI Slides Tutorial 14 sol(.rmd)
Nov. 11 Modeling VII Slides Tutorial 15 sol(.rmd)
Nov. 16 Intro to Deep Learning
Nov. 18 Final Presentation
Nov. 23 Final Presentation
Nov. 25 Thanksgiving
Nov. 30 Final Presentation

Homework Tracker

All homework assignments are to be submitted via Sakai.

Date assigned Instructions Solutions Due Date (Time)
Aug 19 HW1(.rmd) Aug 29 (11:55 PM)
Aug 29 HW2(.rmd) Sep 12 (11:55 PM)
Sep 7 A1(.zip) Sep 19 (11:55 PM)
Sep 19 HW3(.rmd) Sep 28 (11:55 PM)
Sep 26 HW4(.rmd) Oct 3 (11:55 PM)
Oct 3 A2(.zip) Oct 10 (11:55 PM)
Oct 10 HW5(.rmd) Oct 17(11:55 PM)
Oct 17 A3(.zip) Oct 31 (11:55 PM)
Oct 31 HW6(.rmd) Nov 7 (11:55 PM)
Nov 7 HW7(.rmd) Nov 14 (11:55 PM)
Nov 14 A4(.zip) Nov 28 (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 Sakai 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 Sakai Sep 13 (11:55PM)
Proposal Meeting Class Sep 14 / Sep 16 (2:00PM-3:15PM)
P2 Exploratory Data Analysis Sakai Oct 22 (11:55PM)
EDA Meeting Lab Week of Oct 25 to Oct 29
P3 Final Report Sakai Nov 30 (11:55PM)
P4 Presentation Slides Sakai Nov 17 /Nov 22 / Nov 29 (11:55PM)
Final Presentation Class Nov 18 /Nov 23 / Nov 30 (2:00PM-3:15PM)

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 2024-05-01 16:08:40 Eastern Time.