English | MP4 | AVC 1920×1080 | AAC 44KHz 2ch | 8 Lessons (1h 48m) | 167 MB
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.
A/B Testing for Data Science: Optimize Products, Drive Growth, Ace Interviews
You’ll learn
Data-Driven Optimizer
Design and execute effective A/B tests to improve websites, apps, and marketing campaigns with confidence.
Insightful Analyst
Analyze A/B test results with statistical rigor. Translate data into actionable insights that inform business decisions.
A/B Testing Strategist
Understand the broader context of A/B testing within product development and experimentation cycles.
Interview Ace
Articulate A/B testing concepts, demonstrate your experience, and land your dream data-focused role.
Table of Contents
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
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