5 Mistakes To Avoid When Running A/B Tests - Issue 87
dataanalysis.substack.com · 1,390 words · saved by 1 readers
Common product test mistakes to watch for and a practical guide for successful A/B tests.
Hello analysts, and welcome to a free edition of the Data Analysis Journal, a weekly advice column about data and product analytics. If you’re not a paid subscriber, here’s what you missed this month: SQL vs Python For Data Cleaning - I walk through the basics of common data cleaning steps and methods for both Python and SQL, comparing them with each other and offering examples of when and how to use SQL or Python. Engagement and Retention, Part 2: Daily Active Users - a continuation of the User Engagement and Retention series with a deep focus on Daily or Monthly Active User metrics…
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