Understanding the COVID-19 Data
What Are the Data Really Telling Us (and Not Telling Us)?
The COVID-19 pandemic is the most measured disaster of all time. And yet, daily headlines are misleading and world leaders have repeatedly misinterpreted the data.
How can you utilize the data to make the right decisions for your family and your business?
Understanding the COVID-19 Data is a 50-minute, self-paced webinar that delves into data analysis challenges that inhibit good decision-making. It presents data from around the globe to help you easily and effectively interpret raw data, averages and epidemic curves.
You do not need AI, machine learning or a Ph.D. to analyze the novel coronavirus data. This webinar presents simple tools and concepts any business person can master. Topics covered include: His most recent engagements were data analytics projects at CMC Dallas and Children’s Hospital of Philadelphia.COVID-19 and Data Analysis Content
Your Instructor
Ralph Smith is Executive Vice President of Strategic Services for Orion Development Group and the head of our strategy and data analytics practices. In this capacity, Mr. Smith is responsible for facilitating the implementation of strategic plans and strategic measurement systems for clients in all sectors. Mr. Smith has personally supervised the performance improvement efforts in more than 100 organizations worldwide.
Who Should Attend
- Strengthen skills in data-driven decision making
- Plan next steps in response to the pandemic and economic lockdown
- Provide better information to leaders and colleagues
This is a riveting 50 minutes with practical information to help you navigate this crisis and help you make data-based decisions in your career. Since this is an unfolding event, Orion will update the data at least twice a month. Updates will be provided free of charge. The price for the initial webinar is $25 per registrant after Orion’s 50% discount.
The data presented in this webinar are sourced from the World Health Organization, Johns Hopkins University and Imperial College London.