BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//The National Consortium for Data Science - ECPv6.5.0.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:The National Consortium for Data Science
X-ORIGINAL-URL:https://datascienceconsortium.org
X-WR-CALDESC:Events for The National Consortium for Data Science
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251001T180000
DTEND;TZID=America/New_York:20251001T190000
DTSTAMP:20260503T063334
CREATED:20250814T173742Z
LAST-MODIFIED:20250925T203047Z
UID:10000095-1759341600-1759345200@datascienceconsortium.org
SUMMARY:2025 NCDS Fall Career Panel: Analyzing Data Science Careers
DESCRIPTION: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. Get ready to dive into the following topics: \n\nDo I need a graduate degree to be competitive?\nWhat are three things I should do as an undergrad to make my resume stand out?\nHELP! I don’t have a degree in data science!\n\nModerator: Sarah Egan Warren\, Teaching Assistant Professor\, Institute for Advanced Analytics and Lead Facilitator\, UNC System’s Faculty Learning Community for AI in Teaching & Learning\, North Carolina State University \nPanelists: \n\nLaura Faircloth\, Arabic NLP Scientist\, MetaMetrics\nEmily Hadley\, Security Researcher\, Microsoft AI Red Team\nBen Heller\, GenAI Transformation Lead\, Google Cloud\nVrushali Sawant\, Data Scientist\, Data Ethics Practice\, SAS\n\nRegister for the Event
URL:https://datascienceconsortium.org/event/fall-career-panel-2025/
LOCATION:via Zoom
CATEGORIES:Career Panel,Careers in Data Science,Networking,Professional Development
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251029T130000
DTEND;TZID=America/New_York:20251029T170000
DTSTAMP:20260503T063334
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:20251030T110000
DTEND;TZID=America/New_York:20251030T120000
DTSTAMP:20260503T063335
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
END:VCALENDAR