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 Presents

Predictive Analytics – Lesson(s) Learned from COVID-19 and SARS-CoV-2

July 28th 2021, 1:30-2:30 PM EDT

An information-sharing event focused on what predictive analytics taught us about COVID-19 and SARS-COV-2.

Panel: Predictive Analytics-Lesson(s) Learned from COVID-19 and SARS-CoV-2

Informed public health decision-making, as it relates to a pandemic, requires the collection, curation, and rapid integration of accurate and relevant data. This capability is crucial in developing predictive models to forecast essential data such as the number of newly reported COVID infections and deaths per week, which can be reported in the forecast plots or trends in numbers of future reported infections and deaths.

Join the ATARC Predictive Working Group Webinar to hear the lessons learned from the COVID-19 pandemic on how to address current challenges from the effects of the pandemics on public health, economy, return to work as well as how to more efficiently leverage predictive analytics models to better prepare and address the challenges ahead.

Moderator: Malio West

Moderator: Malio West

CEO, Global Accounting

Chakib Chraibi

Chakib Chraibi

Chief Data Scientist, NTIS

Register Here:

Zoom enables ATARC remote collaboration opportunities through its cloud platform for video and audio conferencing, chats and webinars across all devices. Allowing for individuals from all areas of government, industry and academia to communicate directly. 

*** ATARC is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org. Program Level: Beginner, no prerequisites required. Advance preparation: none. Delivery Method: Group Live presented online due to COVID-19. Field of Study: Information Technology. Registration #140762. In accordance with the standards of the National Registry of CPE Sponsors, CPE credits have been granted based on a 50-minute hour. Refund, cancellation and complaint resolution policy