Data Analysis

In this article I will collect helpful tutorials and tools to boost your data analysis.

 

General:

https://segment.io/academy/how-to-think-about-analytics

Great article that explains why data analysis is crucially important and how it should be applied.

 

http://www-stat.stanford.edu/~tibs/ElemStatLearn/

Great free book on statistical learning.

 

http://mindtheproduct.com/2013/02/everything-a-product-manager-needs-to-know-about-analytics/

Good article from Simon Cast about analytics for Product Managers.

 

http://www.dieproduktmacher.com/lean-analytics-pirate-metrics-und-die-funnel-matrix/

Good article in german comparing different methods of applying analytics.

 

http://mindtheproduct.com/2012/08/experiments-101/

Great guide on why and how to run experiments for online products.

 

Tutorials:

http://excelexposure.com/lesson-guide/

Great Excel online course.

 

Tools:

http://www.r-project.org/

R, the leading statistical data analysis tool.

 

http://www.geckoboard.com/

Great tool to visualize your data from different sources.

 

http://scikit-learn.org/stable/ 

SciKit Learn is a good place to start your machine learning and data analysis journey with python. The website also provides a great overview about machine learning methods in general.

 

Methods:

http://en.wikipedia.org/wiki/Factor_analysis

http://en.wikipedia.org/wiki/Latent_semantic_analysis

Hinterlasse eine Antwort

Deine E-Mail-Adresse wird nicht veröffentlicht. Erforderliche Felder sind markiert *

Du kannst folgende HTML-Tags benutzen: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <strike> <strong>