Workshops

NDSA Workshops 

The National Data Science Alliance (NDSA) invites HBCU faculty and staff to participate in interactive data science workshops. Topics are chosen to upskill and expand knowledge in various areas of data science, coding, data manipulation, machine learning, AI, analytics, curriculum development, and pedagogy. We offer a variety of workshops that target those from across disciplines. The diverse schedules aim to provide opportunities to engage in data science.  

Please go to your region for available workshops and click the arrow below to view and apply.

NORTHEAST HUB  

Serving HBCUs in  Washington DC, Maryland, North Carolina, Ohio, Pennslyvania , West Virginia, Virginia, and the Virgin Islands.  

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. 


Registration Deadline December 29th, 2023


Hosted by the NDSA Northeast Hub at Howard University 

SOUTH CENTRAL HUB  

Serving HBCUs in  Arkansas, Kentucky, Louisiana, Missouri, Oklahoma, Tennessee, and Texas.

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.


Registration Deadline: December 22, 2023. 


Hosted by the NDSA Southcentral Hub - Fisk University