$0 – $15

Free (Virtual) Data Analytics, Big Data & Blockchain, Tues March 23, 2021

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$0 – $15

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Online Event

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Refunds up to 1 day before event

Event description
Free (Virtual) Data Analytics, Big Data & Blockchain, Tues March 23, 2021

About this Event

Free (Virtual) Data Analytics, Big Data & Blockchain, &

Young (New) Professionals Night- 2 hr CPE

When: Tues March 23, 2021 from 6:00 to 8:00 PM (MT)

Associated with AZ Valley of the Sun Chapter

(Register below to get the Zoom Link to the meeting-mailed out 1 day and 2 hours before)

6:00 to 6:30- Networking

6:30-7:20pm - Thomas Clausen, ASU School of Business, Data Analytics

7:20-8:00pm Part 2

2 hour CPE- Field of Study : Statistics (technical): Analysis of enumerative data

Learning Objectives:

Photography: By registering for this event, you agree and acknowledge that IMA® (Institute of Management Accountants) along with its partners, subcontractors, or affiliates plan to take photographs at the AZ Valley of the Sun Chapter event or reproduction in educational, news, or promotional material, whether in print, electronic, or other media including IMA and IMA’s affiliate partner websites. By participating in the AZ Valley of the Sun Chapter event you grant IMA and any of its designated subcontractors, partners, or affiliates the right to your name and image (both photographs) for such purposes.

Liability Waiver: By registering for this event, you agree and acknowledge that you are undertaking participation in IMA® (Institute of Management Accountants) events and activities as your own free and intentional act, and you are fully aware that possible physical injury might occur to you as a result of your participation in these events. You give this acknowledgement freely and knowingly and that you are able to participate in IMA events, and you do hereby assume responsibility for your own well-being.

Location: Virtual

Online Instructions: (Register below to get the Link to the meeting-mailed out 1 day and 2 hours before)


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Refund Policy

Refunds up to 1 day before event

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