BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//PYVOBJECT//NONSGML Version 1//EN
BEGIN:VTIMEZONE
TZID:Europe/Brussels
BEGIN:STANDARD
DTSTART:20001029T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000326T020000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:20260528T221539Z - 35972@eu441a.odoo.com
DTSTART;TZID=Europe/Brussels:20240617T093000
DTEND;TZID=Europe/Brussels:20240628T163000
CREATED:20260528T221539Z
DESCRIPTION:<a href="https://www.sustain.brussels/event/introduction-to-dat
 a-science-module-sustain-brussels-training-powered-by-ulb-vub-expertise-39
 /register">Introduction to data science module - sustAIn.brussels training
  powered by ULB & VUB expertise</a>\nEmbark on a journey into the dynamic 
 world of data-driven decision-making with our comprehensive Introduction t
 o Data Science course! Course overview Designed for professionals from div
 erse backgrounds\, this course equips you with essential skills to harness
  the power of data for insightful analysis and predictive modeling. Whethe
 r you're a seasoned analyst or just starting your journey\, this course wi
 ll provide you with the knowledge and tools needed to thrive in the data-d
 riven era. Led by industry experts\, you'll explore core concepts in data 
 science\, learn to develop data analysis pipelines using Python\, and gain
  practical insights into real-world applications. Course dates Only the ba
 sic course (Course 1 - 6h): 17 June 2024Basic course (Course day 1 - 6h) +
  Advanced course (Course day 2 - 3h) + workshop (Course day 3 - 3h): 17\, 
 21 & 28 June 2024 Course content Introduction to data science and data ana
 lyticsUnderstanding the four flavors of data analytics: Descriptive\, diag
 nostic\, predictive\, prescriptiveImplementing a data analysis pipeline wi
 th PythonData science in practice: Best practices and ethical consideratio
 ns Learning outcomes Understand the core concepts involved in a data scien
 ce projectIdentify suitable Data Science methodologies and analysis for di
 fferent scenariosDevelop a prototype of a data analysis pipeline using Pyt
 hon and its data science toolkit Price With support from the European comm
 ission and Innoviris this is offered for free for SMEs\, midcaps and nonpr
 ofits. Meet our expert instructors Jacopo De Stefani: Experienced lecturer
  and researcher in applied Machine Learning Jean Cardinal: Professor of Co
 mputer Science with expertise in theoretical computer science Yann-Aël Le
  Borgne: Expert in machine learning and artificial intelligence Register h
 ere
DTSTAMP:20260528T221539Z
SUMMARY:Introduction to data science module - sustAIn.brussels training pow
 ered by ULB & VUB expertise
X-ALT-DESC;FMTTYPE=text/html:<a href="https://www.sustain.brussels/event/in
 troduction-to-data-science-module-sustain-brussels-training-powered-by-ulb
 -vub-expertise-39/register">Introduction to data science module - sustAIn.
 brussels training powered by ULB & VUB expertise</a>\nEmbark on a journey 
 into the dynamic world of data-driven decision-making with our comprehensi
 ve Introduction to Data Science course! Course overview Designed for profe
 ssionals from diverse backgrounds\, this course equips you with essential 
 skills to harness the power of data for insightful analysis and predictive
  modeling. Whether you're a seasoned analyst or just starting your journey
 \, this course will provide you with the knowledge and tools needed to thr
 ive in the data-driven era. Led by industry experts\, you'll explore core 
 concepts in data science\, learn to develop data analysis pipelines using 
 Python\, and gain practical insights into real-world applications. Course 
 dates Only the basic course (Course 1 - 6h): 17 June 2024Basic course (Cou
 rse day 1 - 6h) + Advanced course (Course day 2 - 3h) + workshop (Course d
 ay 3 - 3h): 17\, 21 & 28 June 2024 Course content Introduction to data sci
 ence and data analyticsUnderstanding the four flavors of data analytics: D
 escriptive\, diagnostic\, predictive\, prescriptiveImplementing a data ana
 lysis pipeline with PythonData science in practice: Best practices and eth
 ical considerations Learning outcomes Understand the core concepts involve
 d in a data science projectIdentify suitable Data Science methodologies an
 d analysis for different scenariosDevelop a prototype of a data analysis p
 ipeline using Python and its data science toolkit Price With support from 
 the European commission and Innoviris this is offered for free for SMEs\, 
 midcaps and nonprofits. Meet our expert instructors Jacopo De Stefani: Exp
 erienced lecturer and researcher in applied Machine Learning Jean Cardinal
 : Professor of Computer Science with expertise in theoretical computer sci
 ence Yann-Aël Le Borgne: Expert in machine learning and artificial intell
 igence Register here
END:VEVENT
END:VCALENDAR
