Some additional details about Sara’s teaching
Things I will need from you:
Logistical information: the schools you are applying to, the instructions for submitting, and the deadlines (please give me at least a 2 week notice)
Information about your goals and trajectory so far: what you are interested in related to the program or job and how does the material in the class(es) that you have had me for fit into that vision for your future.
Project information: If you completed a project in one of my classes, please remind me of your role, the research question and findings.
MATH 216 - Stat I
MATH 407 - Statistical Design of Scientific Studies
MATH 217 - Stat II
FOUN 098-53- Storytelling with Data
MATH 217 - Stat II
MATH 304 - Statistical Inference Theory
Interactive learnr tutorials and R Markdown templates
MATH 216 - Stat I
MATH 304 - Statistical Inference Theory
SDS 220 - Introduction to Probability and Statistics
SDS 220 - Introduction to Probability and Statistics
SDS/CSC 109 - Communicating with Data
Read more about the physical data visualization unit here.
Introduction to statistics and R for journalists
STAT 198 - Blogging for Data Science, Graduate Student Instructor with Professor Deb Nolan
See the blogs here
STAT 157- Communicating with Data: The art of writing for data science, Graduate Student Instructor with Professor Deb Nolan
For a snapshot of what we are doing in class, refer to the tweet-log for the class.