UTC/TU R Data Wrangling Bootcamp, May 17-18, 2021

Virtual

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.

Location

The Bootcamp will be virtual.

Who should apply

Faculty, postdocs, and graduate students. Faculty from minority serving institutions, primarily undergraduate institutions, and community colleges are especially encouraged to apply.

Pre-bootcamp Preparation

• A laptop is required for this bootcamp. Please do not forget the chargers.
• Install R on your laptops. (R must be installed before RStudio). Please install a recent version of R software from .
• Install RStudio on your laptops. (RStudio must be installed after R). RStudio is a popular user-friendly editor and environment to run R. Please download a 鈥淩Studio Desktop鈥� Open Source Edition from , and follow the instruction for installation.
• A ZOOM link and password will be emailed to your registration email.

Please complete this voluntary and anonymous

Quickstart

Agenda

Day 1

• 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听

  • Basic R code, Markdown file, code block, RStudio interface, Data frame, and basic data visualization and analysis.
  • Introduction to R and Rstudio with simple exercises.听听

• 11am-11:10 Break (Group Virtual Photo)

• 11:10- 12:10pm听.

• 12:10-1pm Lunch break

• 1-2pm听

• 2pm-2:10 break

• 2:10-3pm Integrate heterogenous data sets: Analyze Google Mobility and COVID19 cases

Day 2

• 10am-11am听

  • Molar solution exercise.听听

• 11:am-11:10am, break

• 11:10-12:10

• Lunch break

• 1pm -

• Anonymous Post-survey

• Please join the linkedln group for future collaborations,

Please complete this voluntary and anonymous

Free Online Books on R

If people want to learn R before and after the bootcamps, there are many free online books at .

Linked Group

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Spokes: MEDIUM: SOUTH: Collaborative: Integrating Biological Big Data Research into Student Training and Education

The University of Tennessee Chattanooga, 抖阴短视频, Spelman College, and West Virginia University

Contact: Fan Wu (Principal Investigator)听at听fwu@tuskegee.edu, Co-Principal Investigators: Jay Bhuyan at听jbhuyan@tuskegee.edu, Channapatna Prakash at听cprakash@tuskegee.edu, Guohao He at听ghe@tuskegee.edu

听听听听听听听听听听听听听听 Hong Qin (Leading Principal Investigator)听at hong-qin@utc.edu

听听听听听听听听听听听听听听 Mentewab Ayalew (Principal Investigator) at听mayalew@spelman.edu

听听听听听听听听听听听听听听 Donald Adjeroh (Principal Investigator) at听donald.adjeroh@mail.wvu.edu