### Course Overview
- **Course Title:** Certified A/B Testing & Experimental Design
- **Instructor:** Muhammad Shafiq (Data Scientist, AI & ML Engineer, Lecturer, Researcher)
- **Target Audience:**
- Digital marketers
- Product managers
- Data analysts
- UX/UI designers
- Growth hackers
- Business professionals seeking data-driven decision-making skills
- **Prerequisites:**
- Basic understanding of **statistics** (recommended but not mandatory)
- Familiarity with **digital marketing** or **product development** (helpful but not required)
### Curriculum Highlights
- **Key Topics Covered:**
- Fundamentals of **A/B testing** and **experimental design**
- **Statistical rigor** in experimentation (hypothesis testing, p-values, confidence intervals)
- **Sample size calculation** and experiment **duration planning**
- **Sequential testing** and **multi-armed bandit** approaches
- **Common pitfalls** (Sample Ratio Mismatch, novelty effects, peeking)
- **Prioritization frameworks** (ICE, PIE models)
- **Case studies** from leading companies
- **Scaling experimentation** across organizations
- **Key Skills Learned:**
- Designing **statistically valid A/B tests**
- Calculating **sample size** and **test duration**
- Interpreting **experimental results** with confidence
- Avoiding **false positives/negatives** in testing
- Applying **prioritization models** (ICE, PIE) to experiments
- Building a **data-driven decision-making culture**
- Defending experimental findings to **stakeholders**
### Course Format
- **Duration:** Self-paced (video content length **N/A**)
- **Format:**
- **On-demand video lectures**
- **Practice tests (3 included)**
- **Mobile and TV access**
- **Resources:**
- **Downloadable templates** for experiment design
- **Case study analyses**
- **Certification upon completion**
