[Webinar] How to Build a Big Data Portfolio Project
In this workshop, the speaker will discuss the latest trends in big data, and demo some end-to-end big data portfolio projects.
You can join the workshop with this Zoom meeting link:
Schedule: (Please make sure to leave time before the start of the workshop for registration)
1:00pm – 1:30pm – Open registration
1:30pm – 3:00pm – Workshop
3:00pm – 3:30pm – Q & A
Are you thinking of adding a big data project to your portfolio? Do you want to learn how to build an end-to-end big data project? In this workshop, the speaker will discuss the latest trends in big data, and demo some end-to-end big data portfolio projects.
– Introduction to Big Data and Uses Cases
– Big data ecosystem: latest trends
– Portfolio project demo: An end-to-end big data and machine learning pipeline
Who is this event for?
– Anyone who wants to learn more about the latest trends in big data
– Data scientists who are interested in learning big data
– Job seekers who want to learn how to build a big data project portfolio
Speaker: Shaohua Zhang
Shaohua Zhang is a practitioner and thought leader in applied data science and big data technologies. He has over 11 years of experience in applied data science and has built a strong reputation for constructing high-performance data scientist teams in the past. Shaohua is currently the co-founder and CEO of WeCloudData, Canada’s leading Data Science Education Accelerator, where he works on bringing more Data Science and AI talents to the Canadian job market.
Prior to co-founding WeCloudData, Shaohua worked as a senior data scientist at Kik Interactive and also helped build a high-performance data science team at BlackBerry that focused on building innovative data science solutions for marketing, CRM, and product teams. He is specialized in user interest graph modelling, targeted advertising, scalable location intelligence, and large-scale recommendation engines for mobile personalization.