2021 VIRTUAL SUMMER WORKSHOPS
EXPAND YOUR KNOWLEDGE THIS SUMMER
The Atlanta University Center (AUC) Data Science Initiative invites AUC faculty, staff, and graduate students to participate in interactive, virtual data science workshops. Topics are chosen to upskill and expand knowledge in various areas of data science, coding, data manipulation, machine learning, AI, and analytics. We offer a variety of workshops that target those from across disciplines. The diverse schedules aim to provide opportunities to engage in data science. Participants who successfully complete a summer workshop and its deliverables will be invited to participate in upcoming symposiums and other events.
How to Apply
Applicants must be faculty, staff, or graduate students at an AUC member institution or the AUC Robert W. Woodruff Library and have a working laptop/computer and access to the internet.
- Preference is given to those who apply by May 5, 2021
- Notifications will be sent by May 15, 2021
Accepted participants agree to:
- Attend all days and sessions.
- Be ready to engage, focus on the task at hand, and not participate in other activities during the workshop.
- Complete a 2-page report on how the information learned can be used in an upcoming course or research project and is due upon completion of the workshop.
- Participate in pre- and post-surveys.
Apply at: https://www.surveymonkey.com/r/summerworkshops2021
Genomics – The Carpentries (May 20-21, 24-25; 9:30-1:30 pm ET)
This workshop is intended for people working with high-throughput sequencing data and focuses on helping them upgrade their workflow from relying on spreadsheets and GUI platforms to using command-line tools and remote computing power. This workshop is taught using Amazon Web Services. Learners will be introduced to core Bash commands and will learn to write custom Bash scripts to automate an analysis pipeline. They will be introduced to some commonly used command-line bioinformatics tools and file formats. This workshop does not cover individual methods for working with RNA-seq, ChIP-seq, or other specialized datasets, but instead focuses on core principles for efficient and reproducible research with sequencing data. Class size: 20 participants. Stipend: A stipend of $1000 will be paid upon completion and submission of the deliverables.
Introduction to Data Science (May 26; 9:00 am-5:00 pm ET)
This is a theory class that discusses the data science life cycle, foundational principles, and various areas of data science. No coding. 8-hour course. Class size: 30 participants. Stipend: A stipend of $500 will be paid upon completion and submission of the deliverables.
Python for Data Science Series by AUC Woodruff Library (June 1, 3, 8, 10; 3:00 pm-5:00 pm ET)
On Tuesdays and Thursdays in the first 2 weeks of June, the AUC Woodruff Library will host a four-session series covering an introduction to Python programming. Class size: 20 participants. Stipend: A stipend of $500 will be paid upon completion and submission of the deliverables.
Data Visualization with Tableau Series by AUC Woodruff Library (June 15, 17, 22, 24; 3:00 pm-5:00 pm ET)
On Tuesdays and Thursdays in the last 2 weeks of June, the AUC Woodruff Library will host a four-session series covering an introduction to data visualization using Tableau. Class size: 20 participants. Stipend: A stipend of $500 will be paid upon completion and submission of the deliverables.
R Academy (June 14-15 & 17-18; 9:00 am-4:00 pm ET)
The R Academy will take participants with 0 knowledge of the programming language R and R Studio to being able to write scripts and code in R for research in their discipline or teach a module using R. It includes a series of 4 topics: Intro to Data Science with R, R Basics, Statistical Analysis with R, and Intro to Machine Learning. Wednesday, June 16 will be a “break day.” Class size: 16 participants. Stipend: A stipend of $1000 will be paid upon completion and submission of the deliverables.
Ecology – The Carpentries (July 8-9, 12-13; 9:30 am-1:30 pm ET)
This workshop covers data organization with spreadsheets, data cleaning with OpenRefine, and some data analysis and plotting (with your choice of R or Python). This workshop is intended for anyone working with tabular data (data with rows and columns, e.g., Excel). The data used for this workshop is an ecology dataset – counts of animal species that were observed in different locations over time, along with information about their sex, weight, etc. This data is easily understandable by non-ecologists and is considered our most general-purpose workshop. The Ecology workshop will be taught using R as the base language. Class size: 20 participants. Stipend: A stipend of $1000 will be paid upon completion and submission of the deliverables.
“Data analytics has become the vital skill for business students in today’s environment. Recruiters emphasize it constantly and we are hearing from our alumni and interns returning from the summer that they need to strengthen these skills. It does not matter which area of business you plan to enter; you need to know how to understand and analyze data.”
— Dr. Keith Hollingsworth, Department of Business Administration, Morehouse College