Publication Date
| In 2026 | 0 |
| Since 2025 | 2 |
Descriptor
| Data Science | 2 |
| Preferences | 2 |
| Career Choice | 1 |
| College Students | 1 |
| Core Competencies | 1 |
| Curriculum Development | 1 |
| Foreign Countries | 1 |
| Knowledge Level | 1 |
| Novices | 1 |
| Programming Languages | 1 |
| Skill Development | 1 |
| More ▼ | |
Author
| Amelia McNamara | 1 |
| Andreas Stefik | 1 |
| Hannah Stabler | 1 |
| Oluyemi Folorunso Ayanbode | 1 |
| Sunday Oluwadare Oladipo | 1 |
| Timothy Kluthe | 1 |
| Wole Michael Olatokun | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
Audience
Location
| Nevada (Las Vegas) | 1 |
| Nigeria | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Timothy Kluthe; Hannah Stabler; Amelia McNamara; Andreas Stefik – Computer Science Education, 2025
Background and Context: Data science and statistics are used across a broad spectrum of professions, experience levels and programming languages. The popular scientific computing languages, such as Matlab, Python and R, were organized without using empirical methods to show evidence for or against their design choices, resulting in them feeling…
Descriptors: Programming Languages, Data Science, Statistical Analysis, Vocabulary
Wole Michael Olatokun; Oluyemi Folorunso Ayanbode; Sunday Oluwadare Oladipo – Education and Information Technologies, 2025
This study examined the data science career preference, data science skills, and core competencies of 416 students from fourteen Nigerian universities using a Google Forms-created structured online questionnaire. A convenience sampling technique was adopted to select the participants. Data were analysed using both descriptive and inferential…
Descriptors: Data Science, Preferences, College Students, Foreign Countries

Peer reviewed
Direct link
