### A/B Testing, Bayesian Networks, and Support Vector Machine

**Overview/Description**

**Target Audience**

**Prerequisites**

**Expected Duration**

**Lesson Objectives**

**Course Number**

**Expertise Level**

**Overview/Description**

At the core of predictive analytics lie the models used to make predictions after the data has been collected and preprocessed. Explore predictive techniques, including A/B testing, Bayesian Networks, and the support vector machine (SVM).

**Target Audience**

All individuals who are new to predictive analytics and wish to use it to optimize their business performance; business leaders; analysts; marketing, sales, software, and IT professionals who want to add predictive analytics to their skill set; and decision makers of any kind

**Prerequisites**

None

**Expected Duration (hours)**

0.8

**Lesson Objectives**

**A/B Testing, Bayesian Networks, and Support Vector Machine**

**Course Number:**

df_prma_a10_it_enus

**Expertise Level**

Intermediate