Stand out in the competitive job market in the field of data science. Master A/B testing—a skill highly valued by employers. Learn to design experiments, analyze results using Python, and confidently showcase your knowledge in interviews.
A/B Testing for Data Science
About the Author: LunarTech
LunarTech is an online tech academy focused on data science, machine learning, and quantitative analysis — covering both the theoretical foundations (linear algebra, calculus, statistics) and the practical Python / SQL toolchain that working data scientists use. The school operates globally with cohort-based and self-paced tracks.
The CourseFlix listing carries twelve LunarTech courses spanning machine-learning theory, deep learning, applied data-science workflows, and the math fundamentals underlying the field. Material is paid and aimed at engineers and analysts transitioning into formal data-science roles or upskilling within them.
Watch Online 8 lessons
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | 1. A/B Testing Basics Demo | 03:54 | |
| 2 | 2. Setting Hypothesis & Primary Metric | 10:32 | |
| 3 | 3. A/B Design | 18:38 | |
| 4 | 4. Running A/B Testing | 02:13 | |
| 5 | 5. A/B Test Results Analysis (Part 1) | 20:38 | |
| 6 | 6. A/B Testing Results Analysis (Part 2) | 22:49 | |
| 7 | 7. A/B Test Results Analysis Coding (Part 3) | 17:26 | |
| 8 | 8. Common Pitfalls A/B Test | 11:46 |
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