Data Science

curated by Camillo

23 people already started

About this learning path

Data Science

It is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.

Data Science comes from the learning path of Data Analysis . Data science can be seen as the evolutionary step from data analysis. In this regard it is first important to clarify the terminology. Along the path the integrated learning paths determine the content of the resources to cover the broad field of data science. Hereby is Python the ubiquitous tool. The learning path of Data Science integrates concepts of Statistics & Python & Machine Learning & SQL which you should dive into.

Part of this learning path



Machine Learning


Web resources
Start immediately and learn at your own pace.

Flexible schedule
Set and adhere to flexible deadlines.

Approx. 3 months to complete
Recommended 12 hours/week

Mostly English


Camillo Rohe curates
Data Science

This How it Works

You work from module to module. In each module you'll find resources containing:

1. Information

2. Educational content

3. Places to exchange infos

4. Applications, Tools

( 5. Entertaining content )

After studying a resource, you check it.

Learning Path




50 Years Data Science


Data Science 101 Lessons


Data science methodology Lessons




Python for Data Analysis Non-Fiction


Think Stats 2e Online Book


Dataquest Online Courses


Introduction to Statistics for Data Science Online Course


Applied Plotting, Charting & Data Representation in Python Online Course




Introduction to Data Science in Python Online Course


Python Data Science Handbook E-Book


Toward Data Science articles


Data Science Stack Exchange Forum


Chris Albon


Dataskeptic Interviews




An Introduction to Statistical Learning Book


Data Mining Concepts and Techniques Non-fictional


Konwledge Discovery in Databases Techniken und Anwendungen Non-fictional


Kaggle Platform