STA 9750 - Basic Software Tools for Data Analysis
Welcome to the course website for STA 9750 (Fall 2025)!
STA 9750 is an Introduction to R targeted at students in the MS in Business Analytics, MS in Statistics, and MS in Quantitative Methods programs.
This site hosts the Course Syllabus, Course Policies, and Course Learning Objectives. Copies of these documents may also be found on your CUNY Brightspace, though the
Required course pre-assignments, labs, and mini-projects can also be found on this site, as can my slides and information relevant to the course project. Some helpful technical tools can be found here
This offering of STA 9750 will be taught in a mixture of the flipped-classroom and experiential-learning formats. Roughly, this means that most weeks, students will be asked to complete a small pre-assignment each week to introduce the core concept(s) covered in that week’s lecture. Each class period will be split between a brief lecture covering concepts in more detail and an extended lab activity designed to build familiarity and fluency with that week’s subject matter.
This semester, I am teaching both the Tuesday and Thursday sections of STA 9750. In order to provide maximal flexibility to students, students may attend either section as their schedule permits.1 All assignments and deadlines are shared between both sections. See below for the schedule relevant to each section.
There are quite a few moving parts to this course, so this key dates file or the list of upcoming course activities below may be useful:
A CSV file suitable for import into Google Calendar with all assignment deadlines can be found here.
Instructions for how to do so can be found here. If you use another calendar system that cannot accept CSV files in this format, let me know and I will try to provide additional file formats.
There are quite a few moving parts to this course, so this key dates file or the list of upcoming course activities below may be useful:
A CSV file suitable for import into Google Calendar with all assignment deadlines can be found here.
Instructions for how to do so can be found here. If you use another calendar system that cannot accept CSV files in this format, let me know and I will try to provide additional file formats.
Instructor: Michael Weylandt
Footnotes
Students who are struggling with the course material may even find it useful to attend both sections on certain topics. Both sections will use the same Zoom link.↩︎