Applied Math, Probability and Statistics for Data Science

The purpose of the Data Science Engineering Fundamentals program is to review Data Science fundamentals via presentations and workshops. We will have a good mix of theory and hands-on practical sessions. The participants will be encouraged to share their experience and work on the projects of their choice. Agenda: – Review and discuss Applied Math, Probability and Statistics for Data Science by Roman Golovnya – Statistical Approach for A/B Testing by Daniela Gutierrez A/B testing is the most common way companies test their products. Unfortunately, a lot of them don’t know how to test properly. This talk is to show how to test to have confidence results and be sure to take good decisions from them. – catch-ups on Data Science projects and Kaggle competitions