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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!
👍 Like, 💬 Comment, and 🔔 Subscribe for cutting-edge insights. Got questions or insights on A/B testing? Drop us a line below!
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- Machine Learning Fundamentals Handbook: https://join.lunartech.ai/machine-learning-fundamentals
- How to Land Your Dream Data Science Internship: https://join.lunartech.ai/data-science-internship--4e6b5
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- Deep Learning Interview Prep Course (100 Q&A's Part 2): https://bit.ly/lunartech-signup
👤 Meet Your Instructor: Tatev Aslanyan
🌐 Powered by: https://lunartech.ai/
🔔 Connect with Us:
LunarTech on LinkedIn: https://www.linkedin.com/company/lunartechai/
Tatev Aslanyan: https://www.linkedin.com/in/tatev-karen-aslanyan/
Vahe Aslanyan: https://www.linkedin.com/in/vahe-aslanyan/
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
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