Previous Workshops

HOSTED BY : CENTRAL HUB

Starting Cloud-Based Research on NHLBI BioData Catalyst® (BDC) | July 13-14 | 11:00 AM-4:00 PM

Starting Cloud-Based Research on NHLBI BioData Catalyst® (BDC)

Dates:  July 13-14, 2023

Time: 11:00 am to 4:00 pm EST

Location: Virtual via Zoom

Available Seats: 60


Instructors:

Description: NHLBI BioData Catalyst® (BDC) is a cloud-based ecosystem that offers researchers data, analytical tools, applications, and workflows in secure workspaces. It is a community where researchers can find, access, share, store, and analyze heart, lung, blood, and sleep data resources. And it is one of NHLBI’s data repositories, where researchers share scientific data from NHLBI-funded research so they and others can reproduce findings and reuse data to advance science. By increasing access to NHLBI data and innovative analytic capabilities, BDC accelerates reproducible biomedical research to drive scientific advances that can help prevent, diagnose, and treat heart, lung, blood, and sleep disorders.


The workshop is intended for both researchers and faculty who may want to use NHLBI resources in their courses. It is recommended to have an eRA Commons ID, although it is not required. The session will have both lecture and interactive, hands-on demos: an overview of BDC with a focus on setting up an analysis on the ecosystem, including identifying data of interest, identifying relevant data analysis workflows, estimating cloud costs, and data access protocols. After completing the workshop, students can request $500 in free pilot credits to continue practicing analyses or to begin testing new analyses and will have access to on-demand support and additional training opportunities from BDC. 


Registration Closed


Hosted by the NDSA Central Hub - Clark Atlanta University

Navigating the Data Science Landscape: Exploring the What, Why, and How of Data Science  | July 17-18 | 9:30 AM-4:30 PM

Title: Navigating the Data Science Landscape: Exploring the What, Why, and How of Data Science

Dates: July 17-18

Time: 9:30 am-4:30 pm EST
Available Seats: All seats have been filled at this time. 


Instructor: Yvonne Phillips, Adjunct Professor of Computer Science, Morehouse College; Data Science/Predictive Analytics Consultant, Trainer, Speaker - LinkedIn


Description:  The workshop aims to empower participants with a solid foundation in data science by introducing key concepts, terminologies, tools, and techniques. Participants will gain the knowledge and confidence to embark on their journey as data scientists. This workshop serves as a valuable stepping stone for individuals seeking to leverage data-driven insights in their professional careers and provides the necessary resources to support classroom instruction, research efforts, and practical applications of data science. 



Hosted by the NDSA Central Hub - Clark Atlanta University

Demystifying Deep Learning | July 20-21 | 9:30 AM-4:30 PM 

Title: Demystifying Deep Learning

Dates: July 20-21

Time: 9:30 AM-4:30 PM

Location: Virtual via Zoom 

Available Seats: All seats have been filled at this time. 


Instructor: Dr. Antonio Moretti, Faculty Fellow, Computer Science Department, Barnard College - Website


Description: This two-day virtual Zoom workshop provides a comprehensive introduction to deep learning for beginners. Some exposure to Python, multivariate calculus, and linear algebra would be helpful. The first half of the workshop will focus on the theory of deep learning including forward and backpropagation, convolutional neural networks, sequence models, transformers, and deep generative models. The second half will serve as a tutorial on automatic differentiation where we use the Python libraries Tensorflow and Pytorch to train and deploy a model on the cloud. All disciplines are welcome. Participants will be able to train and deploy a deep learning model by the workshop's end.


Deep learning refers to a family of models based on artificial neural networks that have recently produced breakthroughs in our ability to analyze images, videos, sound and text. Facial recognition, voice search, medical imaging and self-driving cars are all examples of technologies that are powered by deep learning. This workshop will provide a clear and concise introduction to the theory and practice of deep learning including forward and backpropagation, convolutional neural networks, sequence models, transformers, and deep generative models. A tutorial on automatic differentiation will also be covered where we use the Python libraries Tensorflow and Pytorch to train and deploy a model on the cloud.


Topics include:
- Forward and backpropagation
- Convolutional neural networks
- Sequence models (RNNs and LSTMs)
- Transformers
- Deep generative models
- Automatic differentiation
- Tensorflow and/or Pytorch- Model Deployment


Hosted by the NDSA Central Hub - Clark Atlanta University

Social Science with R Studio/Posit | July 24-25 | 9:30 AM-4:30 PM

Title:  Social Science with R Studio/Posit

Dates: July 24-25

Time: 9:30 am-4:30 pm EST

Available Seats: All seats have been filled at this time. 


Instructor: Lyrric Jackson, Adjunct Professor of Dance, Spelman College; Certified Data Carpentries Instructor - LinkedIn

Lyrric is an American multidisciplinary artist, educator, and data scientist. She received her Bachelors in Drama/Dance Concentration from Spelman College and holds a Masters in Arts Administration and a MFA in LXFM from the Savannah College of Art and Design. She is a Professor of Dance Performance and Choregraphy at Spelman College, an AUCC Data Science Initiative Faculty Affiliate, a Spelman Faculty CODE Scholar, a Certified Data Carpentries Instructor, and a Sloan Data Science Faculty Fellow. Her work extends to local and global arts and educational institutions, including Lyrric Jackson Dance, Brenau University, Emory University, and Mashirika Performing Arts in Kigali, Rwanda. 


Description: This workshop uses a tabular interview dataset from the SAFI Teaching Database and teaches data cleaning, management, analysis and visualization. There are no prerequisites, and the materials assume no prior knowledge about the tools. We use a single dataset throughout the workshop to model the data management and analysis workflow that a researcher would use.


Hosted by the NDSA Central Hub - Clark Atlanta University

HOSTED BY : NORTHEASTERN HUB

Tableau | January 8-10, 2024 | 9:00 AM-1:00 PM

Title: Intro to Tableau

Dates: January 8-10, 2024

Time: 9:00 am-1:00 pm EST
Available Seats: 40


Instructor: Dr. Mary Dunaway (Morgan State University) | Chantilly Jaggernauth (Founder & CEO, Millennials and Data) | Sekou Tyler | Lery Dujour | Ayodeji Omokehinde | Travis McGarr | Dr. Jason Davidson (Butler University) 


Description:  Are you ready to level up your data skills and transform your classroom experience? The National Data Science Alliance presents an unparalleled opportunity for educators across all fields and skill levels. This impactful workshop is not just a learning journey but a catalyst for change, aimed at mitigating the data skills gap among our future leaders.  Phase 1 (Introduction to Tableau) is your starting point: Dive into Tableau from the ground up, whether you're a complete beginner or seeking a refresher. Learn the basics and lay a solid foundation for your Tableau journey. 


Hosted by the NDSA Northeastern Hub at Howard University.

HOSTED BY : SOUTHEASTERN HUB

Navigating the Data Science Landscape: The What, Why, and How? | February 17 & 24, 2024 |10:00 AM-3:00PM

Navigating the Data Science Landscape: The What, Why, and How? 

Dates:  February 17th and February 24th

Time:10:00 am to 3:00 pm EST

Location: Virtual via Zoom

Available Seats: 20


Instructor: Yvonne Phillips, Adjunct Professor of Computer Science, Morehouse College; Data Science/Predictive Analytics Consultant, Trainer, Speaker - LinkedIn


Description

FEBRUARY 17 TH: Navigating the Data Science Landscape: The What, Why, and How?  


FEBRUARY 24 TH: Basics of R Programming 


APPLICATION IS CLOSED 


Hosted by the NDSA Southeastern Hub at Clark Atlanta University.

HOSTED BY : SOUTHCENTRAL HUB

Navigating the Data Science Landscape: The What, Why, and How? | January 11-12, 2024 | 9:00 AM-5:00 PM

Navigating the Data Science Landscape: The What, Why, and How? 

Dates:  January 11-12

Time: 9:00 am to 5:00 pm EST

Location: Virtual via Zoom

Available Seats: 20


Instructor: Yvonne Phillips, Adjunct Professor of Computer Science, Morehouse College; Data Science/Predictive Analytics Consultant, Trainer, Speaker - LinkedIn


Description: The first tier of the academy consists of courses that will introduce the data science ecosystem. These courses provide participants with an overview of the main characteristics of R and demonstrate R’s versatility in working with data objects. The student will work through the steps of a data science project. No prior knowledge of data science or coding is needed.


Hosted by the NDSA Southcentral Hub at Fisk University.