In the era of big data, many business organizations consider data analytics skills as important criteria in the acquisition of qualified applicants. As numerous managerial decisions in the field of marketing are becoming evidence-based, business schools have integrated case studies about different stages of data analytics such as problem…

R and Python are commonly used software languages for data analytics. Using these languages as the course software for the introductory course gives students practical skills for applying statistical concepts to data analysis. However, the reliance upon the command line is perceived by the typical nontechnical introductory student as sufficiently…

In this study half of 52 sixth graders learned to program in MSWLogo and the other half in Drape. An analysis of students' test scores revealed that Drape (an iconic language) seemed to have a steeper learning curve than MSWLogo (a textual language). However, as students gradually became more familiar with either language, the difference in…