Introduction to Statistics in R

This course covers sales data, probability, and correlation, as well as other key concepts like mean, median, and standard deviation.

Professionals in marketing, product, accounting, and finance role would benefit from having knowledge about statistics. Also, anyone wanting to learn about how to draw conclusions from data or make data-driven decisions in the workplace would benefit from this course.

Summary statistics such as mean, median and standard deviation provide you with a way to become more familiar with data and discover what it can tell you. By using this information to create histograms, and measure the strength of linear relationships, you can draw conclusions about your data.

The Central Limit Theorem states that the sum of a large number of random samples drawn from any distribution will tend to be normally distributed, regardless of the underlying distribution of the population from which samples are drawn.

In this chapter, you'll explore how to quantify the strength of a linear relationship between two variables, how confounding variables can affect the relationship between two other variables, and how to study the design of a data set to determine the reliability of conclusions made from the data.