# Library

# Introduction to Data Analytics

People often apply analytical methods without really understanding them. These courses will teach you the relevant principles behind important methods in statistics and predictive modeling.

## Course List (2)

Statistics is the process of collecting, analyzing and interpreting data. It underpins most work in data analytics. We can divide statistics into two broad areas: descriptive statistics and inferential statistics. Descriptive statistics focuses on summarizing a dataset of interest, so we can draw conclusions about the data. Inferential statistics involves making a prediction about a population of data based on a sample of that data.

In analytics, a model is a simplified mathematical approximation of some real-world 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 datasets or make predictions for the future.