As it's written in the About me section, I'm attending a Cybersecurity Master Degree. In
this degree one of the
mandatory courses is Statistics. The course concerned about some introductory topics in
Statistics
(Dataset, population, sample, descriptive and inferential statistics, contingency table,
frequencies...)
and Probability (Bayes theorem, Bayesian Inference, Stochastic processes, Bernoulli trials)
and other (not too much) advanced topics, like Brownian Motion, Glivenko-Cantelli and
Central Limit
Theorems, Normal and Derived distributions, types of convergence,
how to generate Normal-distributed variables from Uniform and so on...
To pass the exam we had to:
Publish every week a blog post about the topics explained during the lectures
Code some Desktop applications (C#) to visualize and better understand the concepts
Write a final mini-thesis about a specific topic
So. Where is the blog ? Here we are -> edoardottt.wordpress.com. Why you choose wordpress?
Well because it's immediate to insert images and other non-written contents. Editing
manually the html takes way more time (and I had other 3 courses to follow).
So, if you want take a look on the posts :)
Go
to Statistics blog
Where are the applications you coded? Obviously on GitHub.
Moreover, there are also some Youtube videos about the applications. Start with this
one:
Finally, I choose "Normal and derived distributions" as topic for the mini-thesis. Read
the full PDF
I hope this material will help other students and learner in general :)
If there are students following this course that want to contact me there is a button at the
top of the page ! Don't hesitate to text me.