
#57 The Credibility Crisis in Data Science
DataFramed
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Mastering A/B Testing for Business Insights
This chapter delves into the principles of A/B testing and its vital role in evaluating website changes, stressing the importance of robust methodologies over complex techniques. It highlights the connection between the scientific method and effective data analysis, urging data scientists to collaborate with business stakeholders and ask the right questions. The challenges of implementing randomized control trials (RCTs) within organizations are also discussed, emphasizing the need to build credibility for data-driven decisions.
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