Info session about LLM Mini Bootcamp; join to ask questions and receive a discount coupon.

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.

Pandas basics, Series, and DataFrame structures, loading/saving data, data selection, and filtering.

Session on data manipulation with pandas.

Immersive workshop on time series analysis and forecasting using Python, covering introduction to time series analysis, exploratory data analysis, traditional and advanced forecasting models, evaluation and model selection, and handling seasonality and trends.

Dr. Yasin Ceran presents a comprehensive workshop on time series forecasting models and techniques.

Enhance your analytical skills with our two-week workshop on A/B Testing. Perfect for students, data analysts, and professionals, this workshop covers essential concepts and practical applications of A/B testing to help you make data-driven decisions. Basic knowledge of statistics and Python is recommended.