Technology Webinar | [Webinar] Data Science Best Practices

31 May 2022 6:00 AM

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About this Webinar


This is a FREE WEBINAR on Technology

Schedule : May 31st 2022 Time: 6:00 am IST

Is this a LIVE WEBINAR : yes, this will be a live webinar

Is this an ONLINE WEBINAR : yes, you can attend this webinar online by clicking on the Button "Go To Event"

About the Speakers : 



About the Event :

Interested in learning more about the best practices in data science and analytics? Join Shaohua, CEO of WeCloudData, to learn more about what data scientists do and the best practices - from outlining objectives to project management, and working with large amounts of data.


You can join the session with this Zoom meeting link:

*Please make sure to leave time before the start of the session for registration



  • Data scientists
  • What they do, the skills required, the difference between data analysts, data scientists, and data engineers, & different types of data scientists
  • Best practices for data science
  • Data science at scale
  • Scaling infrastructure and pipelines, distributed model training
  • Q&A


Learn More:

Are you interested in Data Science? WeCloudData's official Applied Data Science & Big Data diploma program starts May 24th. Do not miss out on the chance to kickstart your future career - use the link below to learn more about how WeCloudData can help you advance your career and achieve your goals!


Speaker: Shaohua Zhang, Co-Founder and CEO of WeCloudData

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.

He has also collaborated with Ryerson’s Data Science Lab on several big data research projects and helped develop the big data course at Ryerson University in 2015, where he trained over 150 professionals on big data technologies. He is a Data Growth Coach at Communitech and the lead facilitator of the Communitech Academy Data Science Fundamentals Bootcamp.