Five excellent Python video lectures!

In this post you will find 5 great videos containing lectures on how to carry out data analysis using Python. These seem to be part of a course called "Programming for Psychology in Python". It seems pretty awesome.

The array data type

The first video covers numpy and how to use numpy to create and handle arrays.

Creating figures

I think the heading is quite self-explaning; the second video covers the creation of figures. It is using a library called vuesz which I have never heard of. Will test it later!

Descriptive statistics   

Third, we get to know how to do descriptive stats using Python. Also more figures... But very interestingly a bootstrapping method in Python for getting confidence intervals! Great!

Inferential statistics

In this post we get to know how to to t-tests but also a simulation based approach for understanding false positives and multiple comparisons. Cool! Correlations and scatterplots.

Power Analysis

Again, self-explaining title. We get to learn how to simulate data to calculate power. Yes! We want to determine sample size! 

All of the above videos have a homepage in which you can read some and see Python code. Also, there are some exercises. Greate of you wanna learn stuff!