What are common types of bias and why removing them is essential for a successful data analysis project? – Anh Tran, ex. Booking.com


Session Outline

In Data Analytics, more often than not, people think the more data the better. However, despite the vast amount of data, how you process the data could determine whether the analysis is biased and consequently affects the whole outcome. In this talk, Anh will explore that pitfall through addressing:

Key Takeaways

  • What are some common types of bias?
  • How can they affect your analysis?
  • How can you correct those biases?

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