Short Courses and Workshops
Hopkins faculty, staff, fellows and graduate students, as well as those outside the Hopkins community, are encouraged to join.
- Course Listing
- Statistics and Data Analysis using R -Course Package
- Introduction to Unix
- sed, AWK, and Bash Scripting
- Computational analysis of sequencing data
- Introduction to Python
Statistics and Data Analysis using R -Course: 510.707
10 sessions, on Wednesday and Friday mornings
10AM to Noon
Location is to be determined and dependent on SOM COVID-19 regulations.
Instructors: Leslie Cope, Luigi Marchionni, and Chenguang Wang
Cost: JHU SOM tuition (Fall Semester)
Statistics and Data Analysis Using R is a hands-on introduction to the R statistical software suite for biomedical scientists. It is assumed that the student is familiar with the plots and statistical summaries that are most commonly used in biomedical papers, but no formal background in statistics or programming is necessary. The primary objective is learning to use R, but the course also emphasizes the standards of practice that programmers and data analysts have implemented to ensure transparency, accuracy and accountability. Students are required to have a laptop.
Please Contact the Johns Hopkins University School of Medicine Registrar's office to Register.
Understanding the Unix environment and interface is critical to using modern bioinformatics programs. This course will cover the basics of using Unix, including how to find help with any Unix command.
sed, AWK, and Bash Scripting
Prerequisite: Working experience with all the material covered in the 'Introduction to Unix' workshop"
One, 3 hour session
An introduction to the classic and essential Unix tools.