3rd Annual
A FREE Live Online Conference for Aspiring Data Scientists, Data-Focused Business Leaders and Practitioners
July 30 – July 31, 2019
10am – 5pm ET
2 Days | 16 Talks | 6 Workshops | FREE
DAY 1
JULY 30
For Aspiring Data Scientists
10AM – 2PM ET: INTERACTIVE TALKS
8 speakers will demystify data science and discuss the training, tools, and career path to one of the most in-demand jobs in the world.
2:30PM – 5PM ET: WORKSHOPS
3 Metis experts will lead in-depth workshops on introductory level technical topics and career-acceleration guidance.
DAY 2
JULY 31
For Business Leaders, Managers & Practitioners
10AM – 2PM ET: INTERACTIVE TALKS
8 speakers will provide best practices to successfully integrate data science into an organization and demystify its business impact.
2:30PM – 5PM ET: WORKSHOPS
3 Metis experts will lead in-depth workshops on business-oriented and technical topics with practical applications.
Licensed to Analyze? Who Can Claim to be a Data Scientist? IADSS: Defining Roles, Standards and Assessing Skills in Data Science
USAMA FAYYAD, PH.D.
Talk info:
Are you confused about what it takes to be a data scientist? Curious about how companies recruit, train and manage analytics resources? You are not alone. Many employers, educators, and managers are struggling with these issues. In fact, tremendous resources are being wasted by employers on interviewing candidates who claim knowledge of Data Science that are not even qualified for such positions. This presentation covers insight from the most comprehensive research effort to-date on the data analytics profession, proposes a framework for standardization of roles in the industry and methods for assessing skills.
We have been running an industry initiative named: Initiative for Analytics and Data Science Standards (IADSS) to support the development of standards regarding analytics role definitions, required skills and career advancement paths. The initiative kicked off a research study including a detailed survey for analytics executives and professionals, in-depth interviews with industry leaders and academicians as well as an extensive literature review. We will present our initial findings from the research and provide case studies of how bad this confusion and why it is important for the field, for practitioners and for employers and educators to have clarity on this front.
Website: speakers, schedule, workshops.