Data Science in UX Design 2024: A/B Testing Case Study with Python [Full Project]

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Boost landing page conversions in 2024 with data analytics and Python. This dynamic case study demonstrates the power of data-driven UX decisions for increased customer engagement. Learn how A/B testing button designs, combined with software development principles, optimize conversions. Discover how to set up tests, analyze results, and leverage data science for maximum impact.

Highlights include:

- Applying data science essentials to decode user behavior.
- Crafting and executing precise A/B tests.
- Interpreting data for impactful UX improvements.
- Tips for integrating data-driven tactics in UX projects.
- Ideal for UX/UI designers, data scientists, and web developers eager to enhance their skills and drive results.

Join us for a deep dive into data-driven UX strategies that you can implement today!

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Timestamps:

00:00:00 - Introduction
00:02:01 - Business Goal & Hypothesis
00:13:06 - Statistical Hypothesis
00:16:26 - Primary Metric - CTR
00:18:20 - Data Exploration
00:51:11 - Estimates/Pooled Variance
00:58:09 - Choosing Statistical Test
01:04:35 - Calculating Test Statistics
01:09:48 - Calculating P-Value
01:11:00 - Statistical Significance
01:23:32 - CI & Practical Significance

#datascience2024 #lunartechai #abtesting #uxdesigner #lunartech #machinelearning #datascience #dataanalytics #softwareengineer #customerengagement
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Super Cool! Was looking for that portfolio project on CV where I could show my AB testing skills. Thanks LunarTech

LiChen-ey
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I'm not certain, but I think I spotted some errors.

You define CI_95 as 0.04 whereas previously you had found 0.399, so 0.4.

Then, when defining the function, you changed the condition to if delta ≥ lower_bound_CI → Practically significant. But isn’t it the opposite? If we have an MDE of 0.1 (10%), don’t we want our lower_bound_CI to be higher than our MDE? I see the MDE as being a threshold of detectability.

In any case, great video, I learned a lot from it!

Cuxaven
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How do I start data science from beginner to master

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