This lesson recaps why math, in a number of ways, is extremely useful in data science.

This lesson provides an introduction to the lessons in this course that deal with statistics and why they are useful for data science.

In this lesson, users will learn about the importance of exploratory analysis, as well as how statistics enables one to become familiar with and understand one's data. 

This lesson goes over graphical data exploration, including motivations for its use as well as practical examples of visualizing data distributions. 

In this lesson, users learn about exploratory statistics, and are introduced to various methods for numerical data exploration.

This lesson overview some simple descriptions of statistical data.

This lesson covers the basics of hypothesis testing.

This lesson provides instruction on how to infer results from incomplete data.

This lesson provides instruction on finding parameter values, computing confidence levels, and other various statistical methods employed in data investigation.

In this lesson, statistical methods and tools are described for estimating parameters in your dataset.

This lesson covers how to measure the correspondece between data and model.

In this lesson, you will learn the concepts behind choosing useful variables, as well as various analyses and tools to do so.

This lesson goes over some of the common problems in statistical modeling.

This lesson continues describing some of the common problems in statistical modelling, particularly when it comes to model validation. 

You don't have to be a wizard to do statistics!

This lesson provides an overview of possible follow-up courses and subjects from the same publisher.

In an overview of the structure of the mammalian neocortex, this lecture explains how the mammalian cortex is organized in a hierarchy, describing the columnar principle and canonical microcircuits.

The retina has 60 different types of neurons. What are their functions? This lecture explores the definition of cell types and their functions in the mammalian retina.

Optical imaging offers a look inside the working brain. This lecture takes a look at orientation and ocular dominance columns in the visual cortex, and shows how they can be viewed with calcium imaging.

This lecture explains these ideas and explores the task of characterizing neuronal response properties using information theory.