Titlebook: ;

有毛就脱毛

Shuvechha Ghimire,Shumaila Fatima, challenging from an educational perspective (that is, in terms of curricula and pedagogy). In Chap. ., we discuss the challenge of integrating the application domain into data science education, and in this chapter, we elaborate on the challenges posed by the interdisciplinary structure of data sc

不容置疑

享乐主义者

https://doi.org/10.1007/978-981-99-1494-4he research process that data science inspires (Sect. .). Then, Sect. . presents examples of cognitive, organizational, and technological skills which are important for coping with the challenge of data science as a research method, and Sect. . highlights pedagogical methods for coping with it. In t

strdulate

Temples and Political Development,he adoption of a new data science curriculum developed in Israel for high school computer science pupils, by high school computer science teachers. We analyze the adoption process using the diffusion of innovation and the crossing the chasm theories. Accordingly, we first present the diffusion of in

Receive

https://doi.org/10.1007/978-1-349-10039-2educational perspective. First, we present several approaches to the data science workflow (Sect. .), following which we elaborate on the pedagogical aspects of the different phases of the workflow: data collection (Sect. .), data preparation (Sect. .), exploratory data analysis (Sect. .), modeling

Cantankerous

cortisol

疾驰

违抗

Indurate