This is an R-based Data Science On-Line coding bootcamp that will teach basic R programming, data wrangling and integration, visualization. Practice examples include COVID19 data analysis and survey data analysis. Application and registration is free. Seats are limited to 25. Please apply as early as you can!!! This Bootcamp is sponsored by National Science Foundation (NSF), NSF Award #1761839/1761735/1761945/1761792.
Please to start your application. Please see the bootcamp flyer.
The Bootcamp will be virtual.
Faculty, postdocs, and graduate students. Faculty from minority serving institutions, primarily undergraduate institutions, and community colleges are especially encouraged to apply.
9:45am-10:00 Presurvey. R and Rstudio. Download the GitHub repo in Zip File.
Ask TAs to add TA in their zoom alias. Open up breakout rooms for TAs to help participant trouble-shoot.
10am-11am
11am-11:10 Break (Group Virtual Photo)
11:10- 12:10pm.
12:10-1pm Lunch break
1-2pm
2pm-2:10 break
2:10-3pm Integrate heterogenous data sets: Analyze Google Mobility and COVID19 cases
10am-11am
11:am-11:10am, break
11:10-12:10
Lunch break
1pm -
Please join the linkedln group for future collaborations,
If people want to learn R before and after the bootcamps, there are many free online books at .
Linked Group
Spokes: MEDIUM: SOUTH: Collaborative: Integrating Biological Big Data Research into Student Training and Education
The University of Tennessee Chattanooga, ϲͼ, Spelman College, and West Virginia University
Contact: Fan Wu (Principal Investigator)atfwu@tuskegee.edu, Co-Principal Investigators: Jay Bhuyan atjbhuyan@tuskegee.edu, Channapatna Prakash atcprakash@tuskegee.edu, Guohao He atghe@tuskegee.edu
Hong Qin (Leading Principal Investigator)at hong-qin@utc.edu
Mentewab Ayalew (Principal Investigator) atmayalew@spelman.edu
Donald Adjeroh (Principal Investigator) atdonald.adjeroh@mail.wvu.edu