LunarTech – A/B Testing for Data Science 2024-12

A/B Testing for Data Science, Stand out in the competitive data science job market. Master A/B testing, a highly sought-after skill. Design experiments, analyze results with Python, and confidently explain your expertise in interviews. Design and execute effective A/B tests to improve websites, apps, and marketing campaigns with confidence. Analyze A/B test results with statistical rigor. Translate data into actionable insights that inform business decisions. Understand the broader context of A/B testing within product development and experimentation cycles. Articulate A/B testing concepts, demonstrate your experience, and land your dream data-focused role.

What you’ll learn

• Data-Driven Optimizer
• Insightful Analyst
• A/B Testing Strategist
• Interview Ace
• A/B Testing Foundations
• Designing Effective A/B Tests
• Executing A/B Tests

Specificatoin of A/B Testing for Data Science

• Publisher : LunarTech
• Teacher : Tatev Aslanyan
• Language : English
• Level : All Levels
• Number of Course : 8
• Duration : 1 hours and 48 minutes

Content of A/B Testing for Data Science

1. A/B Testing Basics
2. Setting Hypothesis & Primary Metric
3. A/B Design
4. Running A/B Testing
5. A/B Test Results Analysis (Part 1)
6. A/B Testing Results Analysis (Part 2)
7. A/B Test Results Analysis Coding (Part 3)
8. Common Pitfalls A/B Test

Pictures

Sample Clip

Installation Guide

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Download Links

Download – 147 MB

File size

147 MB