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DTSTART;TZID=America/New_York:20260226T170000
DTEND;TZID=America/New_York:20260226T180000
DTSTAMP:20260502T104754
CREATED:20260212T231934Z
LAST-MODIFIED:20260213T160742Z
UID:10000102-1772125200-1772128800@datascienceconsortium.org
SUMMARY:Spring 2026 NCDS Virtual Career Panel
DESCRIPTION:Join panelists working in sports analytics\, growth equity\, and data and AI security as we explore the paths that lead to a career 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 turn a top candidate into the perfect candidate for a role in this competitive field. \nPanelists: \n\nLeena Dave – Truist | Senior Vice President\, Data Governance Metrics and Reporting\nPeter Engler – Seattle Seahawks | Seattle Seahawks Football Research Assistant\nNamrata Jumani – Radian Capital | Associate\nZixin Nie – RTI International | Data Privacy Specialist\n\nRegister for the Event
URL:https://datascienceconsortium.org/event/career-spring-2026/
LOCATION:via Zoom
CATEGORIES:Career Panel,Careers in Data Science,Networking,Professional Development,Upskilling
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260127T120000
DTEND;TZID=America/New_York:20260127T130000
DTSTAMP:20260502T104754
CREATED:20251015T165222Z
LAST-MODIFIED:20251112T022059Z
UID:10000099-1769515200-1769518800@datascienceconsortium.org
SUMMARY:LinkedIn Like a Data Scientist: Strategic Networking for the Digital Age
DESCRIPTION:We’re delighted to host Becky Brown once again for an updated session exploring LinkedIn best practices. Becky has held multiple positions at SAS during her decades-long career at the software giant. These days\, Brown helps sales leaders leverage digital platforms to build stronger connections and more opportunities. Learn her favorite techniques and tricks of the trade. \nAbout Becky Brown\nBecky is a trainer and coach for sales teams wanting to leverage digital platforms like LinkedIn and Sales Navigator to build relationships\, uncover opportunities\, and create fuller pipelines. She manages a Social Selling certification program and runs global communications for the team. \nBecky brings a broad set of experiences from 37 years in sales\, marketing and enablement in the technology industry. You can find Becky on LinkedIn and volunteering for the sea turtle patrol in her beloved Emerald Isle\, NC. \n \nRegister for the Event
URL:https://datascienceconsortium.org/event/linkedin-like-a-data-scientist-strategic-networking-for-the-digital-age/
LOCATION:via Zoom
CATEGORIES:Careers in Data Science,Networking,Professional Development,Upskilling
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251210T120000
DTEND;TZID=America/New_York:20251210T130000
DTSTAMP:20260502T104754
CREATED:20251015T165314Z
LAST-MODIFIED:20251203T162836Z
UID:10000100-1765368000-1765371600@datascienceconsortium.org
SUMMARY:DataBytes: Calling all Data Scientists...Introducing ROBOKOP
DESCRIPTION:ROBOKOP (Reasoning Over Biomedical Objects linked in Knowledge Oriented Pathways) is a knowledge graph system that aims to accelerate and advance scientific discovery by enabling users to simultaneously explore dozens of integrated and harmonized sources of biomedical knowledge. ROBOKOP has been applied to suggest mechanistic insights into biomedical questions and hypotheses for subsequent testing across multiple domains\, including hepatotoxicity\, environmental determinants of disease\, drug repurposing and mechanism of action\, and others. \nDuring this NCDS webinar\, Dr. Karamarie Fecho will provide a short presentation and live demonstration of ROBOKOP\, followed by an opportunity for attendees to pose questions to ROBOKOP and explore answers. \nAfter this webinar\, attendees will:\n● Gain a general understanding of knowledge graphs\n● Be aware of the ROBOKOP knowledge graph system and know how to access it\n● Have a basic understanding of how to query ROBOKOP and interpret results \nFunding\nROBOKOP is funded by NIEHS with joint support from the NIH Office of Data Science (#U24ES035214). Drs. Alexander Tropsha and Chris Bizon\, of the University of North Carolina at Chapel Hill\, serve as Principal Investigators. \nAbout Dr. Karamarie Fecho\nDr. Fecho holds a PhD degree in Neurobiology from UNC’s School of Medicine. Her scientific background is broad and spans the clinical and translational spectrum\, from basic science to clinical research to healthcare quality assurance/improvement and data science. \nKara currently serves as Founder and CEO of Copperline Professional Solutions\, which is a small biomedical consulting company that she founded in 2010. Through Copperline\, Kara has engaged with numerous academic organizations\, pharmaceutical companies\, tech start-ups\, and non-profits\, providing a wide array of services\, products\, and expertise. \nKara also is a Research Affiliate at RENCI\, where in recent years she has been focused on the development and application of biomedical knowledge graphs. This webinar will focus on her work on the ROBOKOP (Reasoning Over Biomedical Objects linked in Knowledge Oriented Pathways) knowledge graph system. \nREGISTER HERE
URL:https://datascienceconsortium.org/event/databytes-dec-2025/
LOCATION:via Zoom
CATEGORIES:DataBytes,Professional Development,Upskilling
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251030T110000
DTEND;TZID=America/New_York:20251030T120000
DTSTAMP:20260502T104754
CREATED:20251015T155907Z
LAST-MODIFIED:20251015T170701Z
UID:10000097-1761822000-1761825600@datascienceconsortium.org
SUMMARY:DataBytes: Real-World AI Evaluation: Overcoming the AI Assurance Bottleneck
DESCRIPTION:Current AI evaluation methods focus solely on the underlying technology and lack the necessary detail for real-world deployment decisions. Civitaas aims to bridge this gap and accelerate AI market readiness by evaluating the quality\, safety\, and utility of AI technologies in the real world. We achieve this through real-time user feedback as they interact with AI systems\, leading to more meaningful outcomes that enable businesses to leverage AI effectively and responsibly. \nRegister for the Event
URL:https://datascienceconsortium.org/event/databytes-oct-2025/
LOCATION:via Zoom
CATEGORIES:DataBytes,Professional Development,Upskilling
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251029T130000
DTEND;TZID=America/New_York:20251029T170000
DTSTAMP:20260502T104754
CREATED:20251015T163838Z
LAST-MODIFIED:20251015T164356Z
UID:10000098-1761742800-1761757200@datascienceconsortium.org
SUMMARY:Foundations of AI: Introduction to Deep Learning
DESCRIPTION: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 Vision that got us to our current boom in Generative AI as demonstrated by GPT-3\, DALL-E and other well-known tools. Learn how to train your own AI models\, and how to make the most of open-source and pre-trained models on the market. \n— How machine learning works\n— Basics of deep learning\n— Basics of Natural Language Processing\n— How to do deep learning with language data \nPrereqs: Familiarity with Python is strongly encouraged. Some knowledge of data science and machine learning is useful but not required. \nRegister for the Event \nNCDS is pleased to offer a limited number of full scholarships for faculty\, staff and students at two-year and four-year institutions to attend the Foundations of AI: Introduction to Deep Learning course on Wednesday\, Oct. 29 \, 2025 from 1 p.m. – 5 p.m. ET. \nTo apply for a full scholarship\, submit your application via this form. DO NOT USE THE MAIN REGISTRATION FORM TO APPLY FOR THE SCHOLARSHIP.
URL:https://datascienceconsortium.org/event/foundations-of-ai-oct-2025/
LOCATION:via Zoom
CATEGORIES:Professional Development,Upskilling
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250924T130000
DTEND;TZID=America/New_York:20250924T170000
DTSTAMP:20260502T104754
CREATED:20250814T165335Z
LAST-MODIFIED:20250814T171711Z
UID:10000094-1758718800-1758733200@datascienceconsortium.org
SUMMARY:Foundations of AI: Intro to Generative AI for Non-Coders
DESCRIPTION:This four-hour workshop is designed to provide non-technical audiences an understanding of AI\, its fundamental concepts\, and its practical applications. The course clarifies technical jargon and reveals how everyday people rely on AI in their personal and professional lives. \n\nAttendees will receive big picture explanations of how AI works and will learn about opportunities and risks in the field.\nThey will leave the course with deeper awareness of AI use in their work environment and a greater technical understanding of how AI drives innovation across sectors.\nAttendees will also learn the basics of prompt engineering\, with examples on how to get the best outputs from generative AI tools by learning best practices in prompt engineering.\n\nPrerequisites: None! This course is open and encouraged for anyone and everyone. \nRegister for the Event \nNCDS is pleased to offer a limited number of full scholarships for faculty\, staff and students at two-year and four-year institutions to attend the Foundations of AI: Intro to Generative AI for Non-Coders on Wednesday\, Sept. 24 from 1 p.m. – 5 p.m. ET. \nTo apply for a full scholarship\, submit your application via this form. DO NOT USE THE MAIN REGISTRATION FORM TO APPLY FOR THE SCHOLARSHIP.
URL:https://datascienceconsortium.org/event/foundations-of-ai-sept-2025/
LOCATION:via Zoom
CATEGORIES:Professional Development,Upskilling
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250611T120000
DTEND;TZID=America/New_York:20250611T133000
DTSTAMP:20260502T104754
CREATED:20250421T210148Z
LAST-MODIFIED:20250527T173317Z
UID:10000092-1749643200-1749648600@datascienceconsortium.org
SUMMARY:DataBytes: The AI Security Gap: How Close Are We to Achieving Trustworthy AI?
DESCRIPTION:Key Findings from the NIST AI 100-2 Report\nIn 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.\nRegister Here
URL:https://datascienceconsortium.org/event/databytes-june-2025/
LOCATION:via Zoom
CATEGORIES:Professional Development,Upskilling
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS_Flyer_2025_06_DataBytes_Small-Flyer-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250515T130000
DTEND;TZID=America/New_York:20250515T170000
DTSTAMP:20260502T104754
CREATED:20250411T033132Z
LAST-MODIFIED:20250423T185802Z
UID:10000091-1747314000-1747328400@datascienceconsortium.org
SUMMARY:Foundations of AI: The Basics of Natural Language Processing
DESCRIPTION:In this workshop you’ll learn the basics of Natural Language Processing (NLP): the subfield of AI and data science dedicated to human language. \nYou’ll also learn: \n\nHow to do basic analyses with unstructured text data\nHow to use deep learning to create NLP models from scratch and finally how\nHow large language models (LLMs) and Generative AI work and connect to other NLP skills.\n\nWe’ll touch on some aspects of deep learning that are specific to NLP\, some more basic analyses of unstructured data and how to deal with lots of unlabeled text (e.g. clustering) and basically go deeper on things that are really NLP-related as opposed to AI more generally. \nPre-requisites\nBasic Python knowledge required\, machine learning knowledge helpful but not required\, very basic data science knowledge (i.e. linear regression) is recommended. \nRegister for the Event \nScholarship Information\nNCDS is pleased to offer a limited number of full scholarships for faculty\, staff and students at two-year and four-year institutions to attend the Foundations of AI: The Basics of Natural Language Processing course on Thursday\, May 15\, 2025 from 1:00 p.m. – 5:00 p.m. ET. \n\nTo apply for a full scholarship\, submit your application via this form. \nDO NOT USE THE MAIN REGISTRATION FORM TO APPLY FOR THE SCHOLARSHIP.
URL:https://datascienceconsortium.org/event/foundations-of-ai-may-2025/
LOCATION:via Zoom
CATEGORIES:Professional Development,Upskilling
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS_Flyer_2025_05_Foundations-02.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250320T170000
DTEND;TZID=America/New_York:20250320T210000
DTSTAMP:20260502T104754
CREATED:20241127T204625Z
LAST-MODIFIED:20250305T204720Z
UID:10000089-1742490000-1742504400@datascienceconsortium.org
SUMMARY:Foundations of AI: Intro to Generative AI for Coders
DESCRIPTION: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 and tricks for prompt engineering and prompt tuning\, as well as more advanced techniques like RAG\, fine-tuning and how to evaluate generative model performance. By the end of the course you should have enough knowledge to combine open-source LLMs with a more targeted dataset to efficiently handle AI tasks that are relevant to your work. \nPrerequisites\nUnderstanding basic Python and the very basics of data science (i.e.\, what data looks like in a csv format and how to do a simple linear regression) would be helpful in this class. Understanding machine learning basics is good\, but not required. \nRegister for Course \nScholarship Information\nNCDS is pleased to offer a limited number of full scholarships for faculty\, staff and students at two-year and four-year institutions to attend the Foundations of AI: Intro to Generative AI for Coders course on Thursday\, Mar. 20\, 2025 from 5:00 p.m. – 9:00 p.m. ET. \n\nTo apply for a full scholarship\, submit your application via this form.\nDO NOT USE THE MAIN REGISTRATION FORM TO APPLY FOR THE SCHOLARSHIP.
URL:https://datascienceconsortium.org/event/foundations-of-ai-march-2025/
CATEGORIES:Professional Development,Upskilling
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS_Flyer_2025_03_Foundations-02-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250220T130000
DTEND;TZID=America/New_York:20250220T170000
DTSTAMP:20260502T104754
CREATED:20241127T193520Z
LAST-MODIFIED:20250108T223228Z
UID:10000083-1740056400-1740070800@datascienceconsortium.org
SUMMARY:Foundations of AI: Intro to AI and Deep Learning
DESCRIPTION: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 Vision that got us to our current boom in Generative AI as demonstrated by GPT-3\, DALL-E and other well-known tools. Learn how to train your own AI models\, and how to make the most of open-source and pre-trained models on the market. \n\nHow machine learning works\nBasics of deep learning\nBasics of Natural Language Processing\nHow to do deep learning with language data\n\nPrerequisites\nUnderstanding basic Python and the very basics of data science (i.e.\, what data looks like in a csv format and how to do a simple linear regression) would be helpful in this class. Understanding machine learning basics is good\, but not required. \nRegister for Course \nScholarship Information\nNCDS is pleased to offer a limited number of full scholarships for faculty\, staff and students at two-year and four-year institutions to attend the Foundations of AI: AI for Non Coders course on Thursday\, Feb. 20 from 1:00 p.m. – 5:00 p.m. ET. \n\nTo apply for a full scholarship\, submit your application via this form.\nDO NOT USE THE MAIN REGISTRATION FORM TO APPLY FOR THE SCHOLARSHIP.
URL:https://datascienceconsortium.org/event/foundations-of-ai-feb-2025/
CATEGORIES:Professional Development,Upskilling
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS_Flyer_2025_02_Foundations-02.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241212T120000
DTEND;TZID=America/New_York:20241212T130000
DTSTAMP:20260502T104754
CREATED:20241127T170023Z
LAST-MODIFIED:20241204T170748Z
UID:10000082-1734004800-1734008400@datascienceconsortium.org
SUMMARY:DataBytes: Intro to NLP\, LLMs and more - a Taste of Foundations of AI
DESCRIPTION: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 intro to language models\, large and otherwise. You’ll learn some hands-on tips and tricks for making sense of language data\, and get a technical but beginner-friendly introduction to the wide world of AI with language. \nRegister for the Event
URL:https://datascienceconsortium.org/event/databytes-dec-2024/
CATEGORIES:DataBytes,Professional Development,Upskilling
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS_Flyer_2024_12_DataBytes_Small-Flyer-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240926T130000
DTEND;TZID=America/New_York:20240926T170000
DTSTAMP:20260502T104754
CREATED:20240607T044334Z
LAST-MODIFIED:20241204T152635Z
UID:10000074-1727355600-1727370000@datascienceconsortium.org
SUMMARY:Foundations of AI: AI for Non-Coders
DESCRIPTION: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? \nDo you find yourself needing expertise on AI that\, quite frankly\, you didn’t sign up for? \nThis 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. \nYou’ll learn about what AI can accomplish\, the intuitions behind how it works (no math or coding necessary!)\, and opportunities and risks. You’ll come away feeling confident that you know not only what an LLM actually is\, but understand all the jargon people use to talk about it. \nRegister for the Course\n  \n  \nScholarship Information\nNCDS is pleased to offer a limited number of full scholarships for faculty\, staff and students at two-year and four-year institutions to attend the Foundations of AI: AI for Non Coders course on Thursday\, Sept. 26 from 1:00 p.m. – 5:00 p.m. ET. \nTo apply for a full scholarship\, submit your application via this form. DO NOT USE THE MAIN REGISTRATION FORM TO APPLY FOR THE SCHOLARSHIP. 
URL:https://datascienceconsortium.org/event/foundations-of-ai-sept-2024/
CATEGORIES:Upskilling
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS_Flyer_2024_09_Foundations-02.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240516T130000
DTEND;TZID=America/New_York:20240516T170000
DTSTAMP:20260502T104754
CREATED:20240417T152651Z
LAST-MODIFIED:20240426T152834Z
UID:10000071-1715864400-1715878800@datascienceconsortium.org
SUMMARY:Foundations of AI: Intro to AI with Amy Hemmeter
DESCRIPTION:In this half-day 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 Vision that got us to our current boom in Generative AI as demonstrated by GPT-3\, DALL-E and other well-known tools. Learn how to train your own AI models\, how to make the most of open-source and pre-trained models on the market\, and how to stay ahead of the curve on technical improvements. \nIn this course you’ll learn: \n\nBasics of deep learning with language data\nHow BERT and GPT work\nWhat is Generative AI?\nWhat is an LLM and how do I use it?\nBasics of prompt tuning and prompt engineering\nRetrieval Augmented Generation (RAG)\nEvaluating generative model performance\n\nRegister for the Course
URL:https://datascienceconsortium.org/event/foundations-of-ai-may-2024/
CATEGORIES:Upskilling
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS_Flyer_2024_05_Foundations-02-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240430T153000
DTEND;TZID=America/New_York:20240430T161500
DTSTAMP:20260502T104754
CREATED:20240222T165513Z
LAST-MODIFIED:20240222T170615Z
UID:10000070-1714491000-1714493700@datascienceconsortium.org
SUMMARY:DataBytes: Supporting AI Risk Management in the Analytics Lifecycle
DESCRIPTION:The National Institute of Standards and Technology (NIST) released an AI Risk Management Framework for trustworthy and responsible use of AI and analytics. NIST offers a portfolio of measurements\, standards\, and legal metrology to provide recommendations that ensure traceability\, enable quality assurance\, and harmonize documentary standards and regulatory practices. Their framework is very detailed with recommendations across four functions: govern\, map\, measure\, and manage. In this session\, we’ll discuss incorporating these recommendations into the analytics lifecycle. Attendees to this session will gain a greater understanding of trustworthy AI best practices as well as user roles and expectations for building responsible analytics. \nJoin NCDS as Sophia Rowland\, a Senior Product Manager focusing on ModelOps and MLOps at SAS\, walks us through this important presentation. \nRegister for the Event \n\n 
URL:https://datascienceconsortium.org/event/databytes-supporting-ai-risk-management-in-the-analytics-lifecycle/
LOCATION:via Zoom
CATEGORIES:DataBytes,Professional Development,Upskilling
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS_Flyer_2024_04_DataBytes_Small-Flyer.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240222T120000
DTEND;TZID=America/New_York:20240222T130000
DTSTAMP:20260502T104754
CREATED:20240202T162917Z
LAST-MODIFIED:20240213T163833Z
UID:10000068-1708603200-1708606800@datascienceconsortium.org
SUMMARY:DataBytes: Becoming A Data Detective - Holding AI Accountable
DESCRIPTION:Bias and brittleness in artificial intelligence (Al) tools are a growing concern. Join Hilke Schellman\, Emmy-award winning investigative reporter\, Wall Street Journal and Guardian contributor and Journalism Professor at NYU\, as she shares key takeaways from her book\, The Algorithm: How Al Decides Who Gets Hired\, Monitored\, Promoted\, and Fired and Why We Need to Fight Back Now. \nAl is now being used to decide who has access to an education\, who gets hired\, who gets fired\, and who receives a promotion. Algorithms are on the brink of dominating our lives and threaten our human future-if we don’t fight back. During the webinar\, Schellmann will share takeaways about the rise of Al in the world of work and show how she tested many of the available tools herself without coding experience. \nDuring our time together\, Hilke will share a few key takeaways from the book and answer questions from the audience. You don’t want to miss this.\nRegister for the Event
URL:https://datascienceconsortium.org/event/databytes-feb-2024/
LOCATION:via Zoom
CATEGORIES:DataBytes,Professional Development,Upskilling
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END:VEVENT
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