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DAMA Canada's 2023 CDMP Study Group

  • Wednesday, February 15, 2023
  • Wednesday, May 17, 2023
  • 14 sessions
  • Wednesday, February 15, 2023, 19:30 21:00 (EST)
  • Wednesday, February 22, 2023, 19:30 21:00 (EST)
  • Wednesday, March 01, 2023, 19:30 21:00 (EST)
  • Wednesday, March 08, 2023, 19:30 21:00 (EST)
  • Wednesday, March 15, 2023, 19:30 21:00 (EDT)
  • Wednesday, March 22, 2023, 19:30 21:00 (EDT)
  • Wednesday, March 29, 2023, 19:30 21:00 (EDT)
  • Wednesday, April 05, 2023, 19:30 21:00 (EDT)
  • Wednesday, April 12, 2023, 19:30 21:00 (EDT)
  • Wednesday, April 19, 2023, 19:30 21:00 (EDT)
  • Wednesday, April 26, 2023, 19:30 21:00 (EDT)
  • Wednesday, May 03, 2023, 19:30 21:00 (EDT)
  • Wednesday, May 10, 2023, 19:30 21:00 (EDT)
  • Wednesday, May 17, 2023, 19:30 21:00 (EDT)
  • Link will be provided to registered participants

Registration


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DAMA Canada CDMP Study Group

Interested in enhancing your professional credibility and expertise, while networking with data management professional across Canada? 

DAMA Canada is hosting it's 2023 Certified Data Management Professional (CDMP) Study Group. Join data professionals from across Canada in an online environment to prepare for the Data Management Fundamentals Exam - the exam required to earn your CDMP certification (Associate).

Earning your Certified Data Management Professional (CDMP) certification is a significant achievement. Professional certification is an indication of knowledge, skills, and experience. More and more often, DAMA CDMP credentials are seen as an asset in public and private job postings. 

The Data Management Fundamentals Exams test your knowledge of the DAMA Data Management Body of Knowledge version 2 (DMBoK2). You can obtain a copy of the DBMoK2 here. 

Study Group Details

Schedule 14 weeks, starting February 15, 2023
When  Wednesday nights for 90 minutes
Time  7:30pm EST
 Member price  $50.00
 Non-member price*  $125.00

*DAMA NCR membership costs $75/year

About the Data Management Fundamentals Exam

The Data Management Fundamentals exam contains 100 multiple choice questions. Candidates have 90 minutes to complete the exam once started. If English is not your main language you can take the ESL version, where you will get an additional 20 minutes to complete the exam.

The Data Management Fundamentals exam covers 14 topics.  There are 11 Knowledge areas, plus Data Management Process, Ethics, and Big Data. Each chapter will be covered throughout the Study Group sessions, and the Study Group includes practice questions and a practice exam.

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Groupe d’étude CDMP de DAMA Canada

Vous souhaitez améliorer votre crédibilité et votre expertise professionnelles, tout en réseautant avec des professionnels de la gestion des données partout au Canada?

DAMA Canada organise son groupe d’étude Certified Data Management Professional (CDMP) 2023. Joignez-vous à des professionnels des données de partout au Canada dans un environnement en ligne pour vous préparer à l’examen Data Management Fundamentals - l’examen requis pour obtenir votre certification CDMP (associé).

L’obtention de votre certification Certified Data Management Professional (CDMP) est une réalisation importante. La certification professionnelle est une indication des connaissances, des compétences et de l’expérience.

Les examens Data Management Fundamentals testent vos connaissances du DAMA Data Body of Knowledge version 2 (DMBoK2). Vous pouvez obtenir une copie du DBMoK2 ici.

Détails de la groupe d’étude

Horaire 14 semaines, commencement le 15 Fevrier 2023
Quand  Mercredi pour 90 minutes
Heure  19h30pm 
Frais de membre  $50.00
Frais de non-membre  $125.00

À propos de l’examen Data Management Fundamentals

L’examen Data Management Fundamentals contient 100 questions à choix multiples. Les candidats auront 90 minutes pour terminer l’examen une fois commencé. Si l’anglais n’est pas votre langue principale, vous pouvez prendre la version ESL, où vous aurez 20 minutes supplémentaires pour compléter l’examen.

L’examen Data Management Fundamentals couvre 14 sujets. Il y a 11 domaines de connaissances, plus le processus de gestion des données, l’éthique et le Big Data


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