Advanced Experimentation Techniques: A/B Testing Training

Live Online & Classroom Enterprise Training

Advanced Experimentation Techniques: A/B Testing focuses on designing, running, and analyzing controlled experiments to optimize products, features, or user experiences using data-driven decision-making.

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What is Advanced Experimentation Techniques: A/B Testing Course about?

This course focuses on the advanced concepts, design strategies, and statistical foundations of A/B testing and controlled experiments. It teaches you how to run high-impact, data-driven experiments that inform business decisions in product development, UX design, and marketing. You’ll learn how to design valid experiments, calculate sample size and statistical power, analyze results, and avoid biases or misleading conclusions.

What are the objectives of Advanced Experimentation Techniques: A/B Testing Course ?

Design statistically sound A/B and multivariate tests
Understand experimental frameworks (randomization, control groups)
Perform hypothesis testing, p-value analysis, and confidence interval calculations
Calculate sample size, statistical significance, and test power
Avoid common A/B testing mistakes (peeking, p-hacking, segmentation bias)
Interpret test results using real-world data tools
Use sequential testing and Bayesian A/B methods
Apply experimentation in product design, marketing, and UX

Who is Advanced Experimentation Techniques: A/B Testing Course for?

Product Managers
Data Analysts & Data Scientists
UX Researchers
Digital Marketers
Growth Hackers
Business Analysts
Anyone involved in optimization and decision-making using data

What are the prerequisites for Advanced Experimentation Techniques: A/B Testing Course?

Basic understanding of statistics (mean, standard deviation, p-value)
Prior exposure to A/B testing or data analytics
Familiarity with digital products, marketing, or UX testing is a plus Advanced Experimentation Techniques: A/B Testing
Knowledge of Python, R, or SQL (optional but helpful)

Available Training Modes

Live Online Training

4 Days

Self-Paced Training

40 Hours

Course Outline Expand All

Expand All

Module 1: Introduction to Experimentation

What is A/B testing?

Use cases in product, marketing, and UX

Controlled vs. observational studies

Module 2: Designing an Experiment

Defining hypotheses and metrics

Randomization and control groups

Avoiding bias and ensuring validity

Module 3: Statistical Foundations

Hypothesis testing (null/alternative)

Type I & II errors

Significance level, confidence intervals, and power

Module 4: Sample Size & Duration

Power analysis

Minimum detectable effect (MDE)

Tools to calculate test duration and sample size

Module 5: Interpreting Results

Analyzing A/B results

Understanding p-values, effect size, and lift

Visualizing and presenting findings

Module 6: Advanced Techniques

Multivariate Testing

Sequential Testing & Stopping Rules

Bayesian vs. Frequentist methods

Segmentation & Personalization Experiments

Module 7: Real-World Implementation

Running tests using tools (Google Optimize, Optimizely, Amplitude, etc.)

Experiment dashboards and analytics

Post-test actions and iteration

Who is the instructor for this training?

The trainer for this Advanced Experimentation Techniques: A/B Testing Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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