Epi/Biostats Winter Institute - Introduction to R for Public Health Researchers 140.604.73
Zoom link will be emailed to students.
Day/Time: June 13 - 24: 8:30AM-11:50AM ET on Zoom
Guest Lecturer: Candace Savonen (firstname.lastname@example.org)
Communication will mainly occur through Slack and we will email you about how to connect to Slack.
Overview: This course will provide “hands-on” training for learning how to analyze data in the R statistical software package. We will cover data input/output, data management and manipulation, and how to make useful and informative graphics
Course Format: Each class will consist of 2 or 3 hour-long modules: each module features a lecture and an R programming lab, where students apply the skills taught in the modules to real data.
By the end of the course, students should be comfortable:
Zoom link will be emailed to students
Class sessions will be recorded and later posted
We will have lectures as well as breakout room sessions to work on labs
Please be aware that there is the option to use closed captioning:
If you have a question based on our labs or homework (or not covered during lecture time), we ask that you post it on slack (which will be our main communication method - the link will be emailed). This allows for questions to be seen by everyone, not just the students in your breakout room. If another student does not answer your question (which we encourage!), we will try to answer it within 24 hours. If you feel uncomfortable posting a question publicly, let a TA or instructor know your question and we will post it for you anonymously.
To get the most out of this class, we suggest working virtually with a large monitor or two screens. This setup allows you to follow along on Zoom while also doing the hands-on coding.
All assignments are due Friday, July 1st, 2022 at 11:59pm EST.
Note: only people taking the course for credit must turn in the assignments. However, we will evaluate all submitted assignments in case others would like feedback on their work.
Submit each assignment to the designated Drop Box on CoursePlus.
You should complete the following:
This project should entail:
You may use one of these public datasets, a different public dataset, or your own data for the project. If using your own dataset, be sure any sensitive information is protected.
See the guidelines/instructions for final projects.
We would like to create an open, safe, welcoming, diverse, inclusive, intellectually stimulating, and hopefully fun class experience.
We strive to be a space in which individual differences are respected, so that each individual can reach their fullest potential.
This applies to emails, surveys, Slack, Zoom, office hours, meetings with other students, instructors, or TAs.
Please reach out to a TA or instructor if you witness or experience a violation of the class guidelines or other JHU codes of conduct.
The University has developed avenues for reporting and for seeking help including:
● JHU Sexual Assault Helpline, 410-516-7333 (confidential) ● Campus Safety and Security, 410-516-7777 ● University Sexual Assault Response and Prevention website ● Johns Hopkins Compliance Hotline, 844-SPEAK2US (844-733-2528) ● JHU Office of Institutional Equity 410-516-8075 (nonconfidential) ● Johns Hopkins Student Assistance Program (JHSAP), 443-287-7000 ● University Health Services - Mental Health (UHS-MS), 410-955-1892 ● The Faculty and Staff Assistance Program (FASAP), 443-997-7000