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UID:20250514T082932EDT-3655rU20JV@132.216.98.100
DTSTAMP:20250514T122932Z
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	Current trends and opportunities in Data Analytics\, D
 ata Science\, and Machine Learning\n	Key tools and techniques used in the i
 ndustry today\n	Applications of Machine Learning and AI technologies\n	Key s
 kills to thrive in today’s data world\n\n\nThen we’ll dive into how our pr
 ograms can help you launch or advance your career and prepare you for oppo
 rtunities in this fast-growing field.\n	\n	We will cover topics such as:\n\n
 \n	Curriculum and courses\n	Learning outcomes\n	Admission requirements\n	Sessi
 ons for admission and admission deadlines\n	Tuition fees\n	How to apply\n\n
 \n \n\nLearn more about ´ó·¢²ÊƱƽ̨'s Professional Development Certificate Prog
 rams in Data Science at mcgill.ca/continuingstudies/area-of-study/data-sci
 ence\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/fr/channels/event/career-pathwa
 ys-data-analytics-data-science-and-machine-learning-information-session-33
 1702
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