Learning Data Analytics & Data Governance With Wendy Zhang [Ep 26]

Listen to Wendy Zhang as she talks about how you can learn analytics if you want to pursue a career in data. She also talks about how a data analytics education can come in many forms, and not just from having a formal degree. 

Wendy also emphasizes the importance of accomplishing low-hanging fruits early on when establishing your data framework, and how these can help change the mindsets of people working for your organization. 

What You’ll Learn From This Episode

  • Wendy Zhang’s analytical background 
  • Theoretical data in school vs real-life analytics 
  • 80% of data science is spent on cleaning up the data  
  • Other ways that you can learn data analytics 
  • Main principles of data governance 
  • How can you utilize data as an asset? 
  • Mindset is one of the biggest roadblocks in data culture 
  • How do you identify and prioritize your data assets? 
  • Analytical technologies should have the ability to integrate with one another and with the existing platform 
  • The model is only as good as its labels 
  • Challenges surrounding the data governance space 
  • How having a single source of truth (SSOT) can benefit your organization 
  • Centralized vs decentralized Strategies 

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