STA 199: Introduction to Data Science

Section 2 - Dr. Elijah Meyer

This page contains an outline of the topics, content, and assignments for the semester. Note that this schedule will be updated as the semester progresses and the timeline of topics and assignments might be updated throughout the semester.

week dow date what topic prepare class_slides lab_slides ae_sa hw hw_sa lab lab_sa exam project notes
1 M
W 17 May Lec-1 Welcome to R & GitHub; Expectations; Tips to be Successful
Th 18 May Lec-2; Lab-0 Exploratory data analysis I | Connecting R with Git Lab
2 M 22 May Lec-3; Lab-1 Exploratory data analysis II + Intro to Data Wrangling | Data Visualization HW 1 Release; Lab-0 Due
Tu 23 May Lec-4 Data wrangling I
Th 25 May Lec-5; Lab-2 Data wrangling II + Tidying Data | Group Formation + Data Wrangling Lab-1 Due
3 M 29 May Holiday Memorial holiday: No classes are held HW 1 Due; HW 2 Release
Tu 30 May Lec-7 ggplot practice + debugging practice
W
Th 1 June Lec-8; Lab-3; Exam-1 Merge conflicts + The Language of Models; Project Work Day HW 2 Due; Release Exam 1
4 M 5 June Lec-9; Lab-4 Research Questions + Simple Linear Regression Exam-1 Due
Tu 6 June Lec-10 Multiple Linear Regression I HW 3 Release; Start Project
Th 8 June Lec-11; Finish MLR + Logistic Regression; Project Work Day
5 M 12 June Lec-12; Lab-5 Logistic Regression II Project Checkpoint 1 Due
Tu 13 June Lec-13; Bootstrap Hypothesis Testing HW 3 Due
Th 15 June Lec-14; Lab-7; Exam-2 Bootstrap Hypothesis Testing II Lab 5 Due; Release Exam-2
6 M 19 June Holiday Juneteenth holiday. No classes are held
Tu 20 June Lec-16 Simulation Confidence Intervals Exam-2 Due; HW 4 Release
Th 22 June Lec-17; Lab-8 Finish CI + Hypo Testing; Project Work Day Project Checkpoint 2 (Draft) Due
7 M 26 June Lec-18 Data Ethics + Special Topics (Leaflet & R-Shiny) HW 4 Due
Tu 27 June
Th 29 June Project Presentation