Principal Component Analysis (PCA) - easy and practical explanation

In this video, I will give you an easy and practical explanation of Principal Component Analysis (PCA) and how to use it to visualise biological datasets.
Hope you like it!

--------------------------------------------------------------------------------------------------------------------
Watched it already?
If you liked this video or found it useful, please let me know! Your comments and feedback are very much appreciated😊
If you have questions, don't hesitate to leave me a comment down below, I will answer as soon as I can:)
--------------------------------------------------------------------------------------------------------------------
for more
• simple and clear explanations of biostatistics methods
• computational biology tools
• easy step-by-step tutorials in R and Python
To analyse and visualise your biological data!

Don’t forget to subscribe if you don’t want to miss another video from me!
--------------------------------------------------------------------------------------------------------------------
More PCA resources:
A more deep explanation of the math behind PCA, without math!
I also really love this explanation from StatQuest!

[busyshah]

I am now convinced that there are no tough subjects, only ineffective tutors. I have been struggling to understand this concept for over 3 years, and here I am, within 11 minutes things have fallen into place.
An expert not necessarily be a great teacher. There might be great experts assigned in educational institute to teach such concepts.
But someone like you is what we need in our schools and colleges (expert and well articulated).
Simplicity is the utmost form of sophistication.

Thanking you from the bottom of my heart.
Keep on helping people like us.

Perhaps another video on how to do it in R will be great hit.

[jumazevick]

This video just solved half of my problem in understanding PCA stats. To solve the other half is I need to translate the info to my actual research.

[sandracrnipolsek]

You are for sure principal component #1! You're the best at describing information ;)

[cuby]

I have watched so many videos trying to understand pca ..and this by far is the most interesting with fundamentals fully explained

[antonrosenfeld]

A very clear and engaging introduction to PCA. It was new to me, and I came away with a good impression of how it would be used. Thanks very much!😀

[serendipitum]

super elegant and clear explanations, thank you!

[znwjwkf]

Best explanation in Youtube, awesome.

[RafaelRabinovich]

It would be great to have PCA explained conceptually, mathematically, as well as programmatically. When push comes to shove, we'll need to do it in a computer, running an algorithm that either we have to put in, or call from a Python library.
Thank you for all the work you do educating us!

[michaellewandowski]

This was excellent. Some people just know how to explain things

[aditisharma]

wow!!! that was explained so nicely by thank you!

[huyquach]

Thank you very much for your clear explanation.

[vylam]

Thanks for making amazing video help me explain things I have been researched for days.

[elmoelmo]

Hi thank you so much for explaining PCA in such a clear way. I've been really stressed about understanding it for my uni stats exam, but now I feel much more confident :)

[moniquebrasilbaptista]

Loved it! It's a really comprehensive explanation!😍

[tubihemukamamethodius]

You really understand what you were talking, big up

[IqbalPrawira]

the best explanation. easy to understand.

[coder-c]

Very great example this was the exact example of what im doing too!

[tathagatasharma]

Thank you very much, very well explained

[tarathetortoise]

Was going insane looking for an understandable explanation of "what" a PCA is, until I found this video! Thank you very much!

[ricardoveiga]

Amazing content, clearly explained! :)