Professor Pooler (pspooler@syr.edu) - Office: WSOM Room 518
  • In-Person Hours: Vary by semester
  • Zoom Hours: Vary by semester
  • Also available by appointment on Zoom or in-person
Teaching Assistants: Zoom Hours and Available by Appt.
  • Vary by semester
NOTES

  • This website includes lecture slides, notes, and R projects, from the most recently completed semester.

  • As the current semester progresses, lectures will be updated.

White Paper about Analytics Skillset

  • Starting on page 8 (10th document page), this paper provides specific language about different roles in data analytics.

  • This section may be helpful as you try to explain your skillset in interviews.

Software Links Software Training

  • DataCamp - An excellent (but not free) online learning center for many software packages. Costs can be subsidized (see below).

  • Whitman WIRE Initiative - The WIRE initiative will subsidize costs of online software training the results in certification.

    • Contact their office to arrange a meeting and develop a plan.

  • SU Open Source Program Office (OSPO) - OSPO offers workshops in open source software such as R/RStudio, Python, Github and facilitates communication between open source software users on campus.

  • This website includes lecture slides, notes, and R projects, from the most recently completed semester.

  • When this course is taught next, the lecture notes will automatically be updated on this website too.

PointSolutions Session ID: mas261f24
Describing Data



  • Lecture 4 - Data Visualizations, Boxplots, Outliers


  • Lecture 5 - Visualizing Categorical and Quantitative Data


Data Distributions

  • Lecture 6 - Introduction to the Normal Distribution


  • Lecture 7 - Empirical Rule / Finding X from a Probability


  • Lecture 8 - Sampling Distribution of the Sample Mean / CLT



  • Lecture 10 - Review for Quiz 1

    • No new slides.

    • In this lectured, we work through Practice Questions and have some in-class polling questions.


Estimates and Confidence

  • Lecture 13 - Intro. to the t Distribution and Confidence Intervals


  • Lecture 14 - Effect of Sample Size and Confidence level on Confidence Intervals



Hypotheses and Correlations

  • Lecture 17 - Language of Hypothesis Testing/One Sample t-tests


  • Lecture 18 - Two Sample t-Tests and Confidence Intervals


  • Lecture 19 - Contingency Tables and Two Sample Tests of Proportions


  • Lecture 20 - Introduction to Correlation and Covariance


Linear relationships

  • Lecture 24 - Introduction to Simple Linear Regression




  • Lecture 28 - Introduction to Linear Transformations


Notes

  • Students in MAS 261 are NOT required to install R and RStudio on their laptop but they are welcome to.

  • R and RStudio are two separate software components. Download and install R and then download and install RStudio.

  • When updating your version of R or RStudio, uninstall the previous version first.

Downloading and Installing R
Downloading and Installing RStudio

  • RStudio can be downloaded from Posit, the parent company of RStudio.

  • Video Demo for downloading and installing RStudio on a Windows OS

  • Mac installation is similar.

  • If you do not need to uninstall an out-of-date version of RStudio, skip to 0:56.

  • The version shown in the video is from August of 2024 and is out-of-date.

  • The current version of RStudio is 2024.9.1.394.