A/B testing is a powerful technique used in data-driven decision-making to evaluate the impact of changes or interventions. In this comprehensive workshop, you will gain a deep understanding of A/B testing principles, learn how to design effective experiments, and analyze the results using statistical methods.
Workshop Curriculum:
Module 1: Introduction to A/B Testing
Module 2: Formulating Hypotheses and Experiment Design
Module 3: Statistical Analysis Techniques
Module 4: Interpreting and Presenting Results
Module 5: A/B Testing in Practice with Python
Prerequisites:
- Basic understanding of statistics and hypothesis testing
- Familiarity with basic concepts of data analysis
- Familiarity with Python
Agenda:
7:45 pm - 7:50 pm Arrival, socializing, and Opening
7:50 pm - 9:45 pm Dr. Yasin Ceran, "AB Testing Workshop Mastering Experimentation and Statistical Analysis"
9:45 pm - 9:50 pm Q&A
About Dr. Yasin Ceran:
Yasin Ceran is passionate about all things data and holds a vast experience in data analysis, mathematical modeling and Apache Spark, and in SQL, Python and R. He is currently an associate professor at KAIST, South Korea, as well as teaching at San Jose State University at the heart of Silicon Valley. Yasin has worked rigorously on an array of data-related projects encompassing data mining, statistics, modeling, and is dedicated to sharing his experience and expertise with learners.
