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Live Online Training: Data Management Literacy

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DATAVERSITY Online Training – Professional Education at Your Convenience

Course Dates: February 7-8, 2023
Course Time: 11 AM – 6 PM Eastern / 8 AM – 3 PM Pacific
Course Price: $1,000 Early Bird Price through January 20, 2023 / $1,200 after January 20, 2023
Course CEUs: 12

Last day to register: Friday February 3, 2023.

What is Data Management? Why is Data Literacy important to build a data-driven organization? What is the relevance of Data Governance, Data Strategy, Metadata Management, Compliance and Risk, and Data Quality? This course will cover such topics, along with many more, including operating models, guiding principles, enterprise viewpoints around data, data standardization, common frameworks, and key data capabilities.

The Data Management Literacy two-day live online training addresses the most important Data Management disciplines necessary to be data-literate in the modern data landscape. It draws on the most relevant current Data Management material and decades of experience in the industry from the instructor John Ladley. This course provides a solid foundation of the different disciplines across the complete Data Management spectrum.

 By attending this course, attendees will learn about core Data Management concepts and will illustrate such concepts with examples of how Data Management disciplines are applied in the real world. Attendees will gain a firm understanding of a broad range of concepts and be able to explain the practical application of them throughout various industry examples.

NOTE: If the scheduled time is not convenient for your time zone and you have a group who would like to take this seminar at a time more convenient for you, please email to coordinate a possible alternative.

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Who Should Attend

This two-day live, online seminar is intended for business and IT professionals at all levels who have been charged with investigating or implementing Data Management and Data Literacy in their organizations, and who seek to gain an overview of the different disciplines of Data and Information Management. It does assume general business knowledge, but not specific technical knowledge or experience. It is appropriate for executives, departmental and/or project managers, data and enterprise architects, consultants, data modelers, BI and data warehouse developers, data and business analysts, DBAs, technical staff, and anyone else interested and involved in data. The course is not designed for any specific business domain, and as such is applicable to any business function that is in need of more reliable information, such as finance, manufacturing, human resources, analytics, operations, and more.

We offer several bulk licensing options for corporate and group use.

Contact us for a follow-up discussion!

Seminar Format:

  • A two-day seminar workshop that includes lecture format over slides with questions either throughout or at the conclusion of each section, breakout sessions, and exercises.
    • The seminar date is: Tuesday – Wednesday, February 7 – 8, 2023
    • Seminar time is: 11 AM – 6 PM Eastern / 8 AM – 3 PM Pacific
  • All seminar material will be made available for students to download.
  • DATAVERSITY will be integrating two platforms to run the training: The DATAVERSITY Training Center (DVTC) platform and Zoom.
  • The DVTC Platform is where you will start your training:
    • This will be where you will log in, and then click a “Join Now” button on the day of the live training in your course dashboard.
    • This platform will contain the syllabus for the day, information on navigating through both platforms, enable you to take notes throughout the training, join a forum with your classroom peers to network with each other even after the live online training is over, download materials, and access the recording of the training when it is complete.
  • When you click the “Join Now” button in the DVTC Platform, a Zoom window will open.
    • This platform is where you will take the training, view the presentation, and engage in breakout sessions.

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