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1. Introduction to Statistical Models
In this lesson we’ll outline the topics that will be covered in this course.
Overview of Statistical Models
In analytics, a model is a simplified mathematical approximation of some realworld process. We use models to identify relationships between fields or observations in a data set. When we create a good model, we should be able to use it to analyze other data sets or make predictions for the future.
Course Overview
Models are used in many areas of analytics. In this course, we’ll focus on three main areas, which are applied in other Kubicle courses:

Regression and Clustering

Classification Models

Time Series Analysis
2. Simple Linear Regression
7 mins
4. Logistic Regression
4 mins
5. Cluster Analysis
5 mins
8. Decision Trees
5 mins
9. Boosting
5 mins
10. Random Forests
3 mins
12. ARIMA Models
6 mins