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Student Career Placement Skills Assessment
Data Science and Analytics
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About
Provides a detailed overview of student capabilities, tracking both technical expertise (such as Data Structures and Algorithms, Database Management Systems, and Operating Systems) and essential soft skills (like communication and creativity). This product is significant for analysing skill trends and assessing student readiness for career placement opportunities, offering a holistic view of potential candidates. The data assists in determining suitability for different professional profiles, including UI/UX, development, and data science roles.
Columns
- DSA: Data Structures and Algorithms proficiency level.
- DBMS: Database Management Systems proficiency level.
- OS: Operating Systems knowledge level.
- CN: Computer Networks knowledge level.
- Mathmetics: Mathematical skills score.
- Aptitute: General aptitude score.
- Comm: Communication skills rating.
- Problem Solving: Problem-solving abilities rating.
- Creative: Creativity level rating.
- Hackathons: Participation count in hackathons.
- Skill 1 / Skill 2: Proficiencies in specific tools or languages (e.g., HTML/CSS, Python, C/C++).
- Profile: Potential professional profile suitability.
Distribution
The data file is structured in a tabular format, typically supplied as a CSV file ("Student Placement.csv"). It contains 707 records and 13 distinct columns, amounting to a file size of 41.44 kB. The data structure is highly validated, with zero reported mismatched or missing values across the core skill columns. The expected update frequency for this dataset is never.
Usage
Ideal for predicting career placement success and profile matching. It can be used by educational bodies to identify curriculum gaps or track student performance in core subjects. Recruiters can leverage the data to screen candidates based on specific technical proficiency requirements and soft skill assessments, assigning students to roles such as UI/UX designer, data scientist, or developer.
Coverage
The dataset covers the skills and aptitude measurements of students, focusing on technical and personal attributes quantified by scores in various subjects (e.g., DSA mean score is 61, DBMS mean score is 64.2) and soft abilities. Specific geographic location, timeframe, and detailed demographics are not explicitly available within this profile.
License
CC0: Public Domain
Who Can Use It
Recruitment Agencies: For automated candidate screening and profile matching to roles like data science or development.
Academic Researchers: To study the correlation between specific technical aptitudes (like DSA or DBMS) and career readiness.
Higher Education Administrators: To evaluate student cohort performance in core subjects and soft skill development areas.
Dataset Name Suggestions
- Student Career Placement Skills Assessment
- Technical Aptitude and Soft Skills Profile
- Higher Education Placement Readiness Data
- Student Job Profile Analytics
Attributes
Original Data Source: Student Career Placement Skills Assessment
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