Data Matters 2024
Data Matters™ is a week-long series of one and two-day courses aimed at students and professionals in business, research, and government. The short course series is sponsored by the Odum Institute for Research in Social Science at UNC-Chapel Hill, the National Consortium for Data Science, and RENCI. Data Matters gives students the chance to learn about a wide range of topics in data science, analytics, visualization, curation, and more from expert instructors.
DataBytes: Data Viz, Chemistry, Art, and Public Health: Making Sense of Street Drugs
At the Street Drug Analysis Lab, researchers analyze street drug samples from around the country and have detected about 300 unique chemical substances. But making sense of chemicals is a […]
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 […]
DataBytes: Large Language Models: Careless Speech vs. the 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 […]