Pricelists.org Pricelists.org Log in Sign up

The Data Science Framework

☆☆☆☆☆ (0 reviews)
Show price history
The Data Science Framework
Lowest price (incl. delivery)
22 879,00 JPY
Typical price3 478,26 PLN
Lowest (90 days)128,39 PLN
Offers6
Last updated2 days ago
See best offer
Price history (90 days)
Full history
2026-08-08 2026-08-15
Price History
Updated AtPrice
2026-08-08128,39
2026-08-15139,99
Seller Product price Delivery Total Availability Updated
SP SpringerNatureLink Shop INT 22 879,00 JPY free 22 879,00 JPY Available 2 days ago View offer
SP Springer Nature Author 22 879,00 JPY 29,00 JPY 22 908,00 JPY Available 1 week ago View offer
SP SpringerNatureLink Shop INT 159,99 USD 19,00 USD 178,99 USD Available 2 days ago View offer
SP SpringerNatureLink Shop INT 179,99 USD 25,00 USD 204,99 USD Available 2 days ago View offer
SP SpringerNatureLink Shop INT 179,99 USD 29,00 USD 208,99 USD Available 2 days ago View offer
SP SpringerNatureLink Shop INT 189,00 EUR 15,00 EUR 204,00 EUR Available 2 days ago View offer

Prices and availability may change. Last Updated: 15.08.2026 04:43.

0,0
☆☆☆☆☆
0 reviews
5★ 0%
4★ 0%
3★ 0%
2★ 0%
1★ 0%

Product reviews

Rating
No reviews yet — be the first!
This edited book first consolidates the results of the EU-funded EDISON project (Education for Data Intensive Science to Open New science frontiers), which developed training material and information to assist educators, trainers, employers, and research infrastructure managers in identifying, recruiting and inspiring the data science professionals of the future. It then deepens the presentation of the information and knowledge gained to allow for easier assimilation by the reader. The contributed chapters are presented in sequence, each chapter picking up from the end point of the previous one. After the initial book and project overview, the chapters present the relevant data science competencies and body of knowledge, the model curriculum required to teach the required foundations, profiles of professionals in this domain, and use cases and applications. The text is supported with appendices on related process models. The book can be used to developnew courses in data science, evaluate existing modules and courses, draft job descriptions, and plan and design efficient data-intensive research teams across scientific disciplines.

Similar products