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UID:20250710T031434EDT-7804xaNAZg@132.216.98.100
DTSTAMP:20250710T071434Z
DESCRIPTION:\n\nWith data in plentiful supply\, it’s more and more importan
 t for organizations to be able to turn data into meaningful insights that 
 lead to concrete decisions and business results. In today’s world\, nearly
  every function – from finance\, healthcare\, marketing\, human resources 
 supply chain management\, human resources to manufacturing and agriculture
  – need skilled data analysts and data scientists to sift through data\, c
 onnect the dots and transform that data into meaningful information that c
 an make an impact and enable new AI technologies to automate repetitive ta
 sks\, improve the accuracy of diagnostics\, optimize processes\, improve c
 ustomer experience\, make more precise predictions\, reduce errors\, impro
 ve safety to name a few.\n	\n	Join us for the Career Pathways in Data Analyt
 ics\, Data Science and Machine Learning information session to explore tre
 nds\, challenges\, and career opportunities in this fast-growing field. We
  will discuss:\n	 \n\n\n	Current trends and opportunities in Data Analytics\
 , Data Science\, and Machine Learning\n	Key tools and techniques used in th
 e industry today\n	Applications of Machine Learning and AI technologies\n	Ke
 y skills to thrive in today’s data world\n\n\n\n	Then we’ll dive into how o
 ur programs can help you launch or advance your career and prepare you for
  opportunities in this fast-growing field.\n\n\n	We will cover topics such 
 as:\n\n\n	Curriculum and courses\n	Learning outcomes\n	Admission requirements
 \n	Sessions for admission and admission deadlines\n	Tuition fees\n	How to app
 ly\n\n\n \n\nLearn more about ɬÀï·¬'s Professional Development Certificat
 e Programs in Data Science at mcgill.ca/continuingstudies/area-of-study/da
 ta-science\n	 \n\nFor more information\, write to pd.conted [at] mcgill.ca
 \n\n \n\nRegister\n
DTSTART:20210706T163000Z
DTEND:20210706T173000Z
SUMMARY:Career Pathways in Data Analytics\, Data Science and Machine Learni
 ng: Information Session 
URL:/continuingstudies/channels/event/career-pathways-
 data-analytics-data-science-and-machine-learning-information-session-33170
 2
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