Careers in Data Science: Measuring Social Impact at the Kennedy Center
From liberal arts major to major impact: What do Musical Theater, Psychology, History, and Business Administration all have in common? These fields can all provide you with successful tools and experiences that can lead to valuable careers incorporating data science. In this session, Trés McMichael, Senior Program Manager for Social Impact Civic Alliances at the Kennedy Center in Washington, D.C., will discuss his pathways from a liberal arts education to a non-profit professional who has incorporated research, evaluation, and data visualization as a tool to support arts, culture, and community change.
Scaling Up: Developing a Coordinating Hub for Data Competency
In this session, Dr. Crista Arangala will introduce Elon University’s Data Nexus. The Data Nexus initiative was created as part of a five-year Quality Enhancement Plan developed during its most […]
Foundations of AI: AI for Non-Coders
Ever say to yourself: what even is an LLM? How do I get from chatting with ChatGPT to talking about larger AI products? How do I answer these nonstop questions from colleagues, customers, leadership and more in this new landscape?
Do you find yourself needing expertise on AI that, quite frankly, you didn’t sign up for?
This course is designed to meet the needs of people who are not necessarily well versed in math and science but who know that they need to know the basics about AI in this changing landscape.
2024 NCDS Fall Career Panel: Analyzing Data Science Careers
You don't want to miss these data science professionals provide insight into what it takes to capture the attention of top recruiters in data science and data analytics. Our panelists […]
DataBytes: Navigating the Data Divide: Approaching Analytics Across Organizational Maturity Levels
Organizations at varying levels of analytical maturity are increasingly seeking to optimize their data usage. This presentation, delivered by two experienced data scientists, will discuss how analytics can vary across […]
DataBytes: Intro to NLP, LLMs and more – a Taste of Foundations of AI
In this short session you’ll learn the basics of Natural Language Processing, starting with turning words and sentences into embeddings for use in deep learning tasks, as well as an […]
Careers in Data Science: Rock Your LinkedIn Profile with Becky Brown
via ZoomYour presence on LinkedIn and other social channels is the first impression you make on clients and your network. Creating the right presence is the key to having people “opt-in” to conversations with you. Join this session to learn how to articulate a clear and authentic personal brand, how to define your LinkedIn strategy, and how to build a LinkedIn profile that connects with your target audience so you can make more authentic connections.
2025 NCDS Spring Career Panel: Analyzing Data Science Careers
Join panelists working in a variety of fields, leveraging their knowledge and experience in data science to forge distinct careers in data science.The journey looks different for everyone, but a dream job is the destination. We’ll discuss a few examples of what it takes to get there. We’ll also dive into the hard and soft skills that make a top candidate the only candidate for a role in this competitive field.
Foundations of AI: Intro to AI and Deep Learning
In this course you’ll learn about Artificial Intelligence (AI), starting with foundational concepts in machine learning and deep learning, then moving to the basics of Natural Language Processing and Computer […]
Foundations of AI: Intro to Generative AI for Coders
This course will give you an overview of what Generative AI is and how it works, and how to do some basic tasks in Generative AI. You’ll learn some tips […]
DataBytes: Do Large Language Models Have a Legal Duty to Tell the Truth?
Large language models (LLMs) do not distinguish between fact and fiction. They will return an answer to almost any prompt, yet factually incorrect responses are commonplace. Our tendency to anthropomorphise […]
Foundations of AI: The Basics of Natural Language Processing
via ZoomIn this workshop you’ll learn the basics of Natural Language Processing (NLP): the subfield of AI and data science dedicated to human language. You’ll also learn: How to do basic […]
DataBytes: The AI Security Gap: How Close Are We to Achieving Trustworthy AI?
via ZoomIn this webinar, Apostol Vassilev will examine the recently published 2025 edition of the NIST Al 100-2 report, a crucial resource for organizations seeking to ensure the security of Al systems. The talk will focus on the security of generative Al models, tailored to address the needs of Al practitioners and stakeholders in the audience. The report provides a comprehensive taxonomy of concepts and terminology in the field of adversarial machine learning (AML), organizing key Al technologies, attack life cycle stages, and attacker goals, objectives, capabilities, and knowledge into a conceptual hierarchy. By identifying current security challenges in the Al system life cycle and describing methods for mitigation and management, the report aims to establish a common language for the rapidly evolving AML landscape. This webinar will provide attendees with a deeper understanding of the development and deployment of more trustworthy and responsible Al systems.
DataBytes: Introducing the NCATS Biomedical Data Translator: A new tool for Biomedical Data Integration and Inference
Speaker: Chris Bizon, Director of Analytics and Data Science, RENCI Host: Becky Boyles, Deputy Director, RENCI The growing availability of biomedical data offers vast potential to improve human health, but […]