Data Science & Analytics Attachments in Kenya
Data Science & Analytics attachments provide exposure to data collection, analysis, and visualization in Kenya's data-driven industries. Typical duration: 6–12 weeks.
What You'll Do
Observe Data Workflows
Watch how data is collected, cleaned, processed, and analyzed in real business environments.
Assist with Data Analysis
Help with basic data cleaning, statistical analysis, and visualization tasks under supervision.
Document Data Processes
Learn to document data collection methods, analysis procedures, and findings.
Attend Analytics Meetings
Participate in data review sessions and business intelligence discussions.
Learn Analytics Tools
Get familiar with Excel, SQL, Python, R, and visualization tools like Tableau or Power BI.
Shadow Data Scientists
Work alongside experienced analysts to understand data-driven decision making processes.
Skills You'll Gain
Who Should Apply
Year of Study
2nd and 3rd year students in Computer Science, Statistics, Mathematics, or related fields.
Prerequisites
Basic knowledge of statistics, mathematics, and at least one programming language (Python, R, or SQL).
Ideal Candidates
Students with strong analytical thinking, attention to detail, and interest in data-driven insights.
Academic Requirements
Minimum GPA of 2.5 and completion of statistics and mathematics courses.
Typical Host Companies
Duration & Mode
Duration
6–12 weeks (flexible based on university requirements and company needs)
Schedule
Full-time during university breaks, part-time during semester (20-30 hours/week)
Mode
On-site or hybrid (mix of office and remote work)
Supervision
Direct supervision by data scientists/analysts and regular check-ins with university coordinator
Related Career Pathways
Next Steps: Internships
Future: Graduate Roles
Frequently Asked Questions
What programming languages should I know for data science?
Python and R are most commonly used, but SQL is essential for data manipulation. Excel skills are also valuable. You don't need to be an expert - this is about learning and exposure.
Will I work with real data during the attachment?
Yes, you'll work with real business data under supervision. This may include data cleaning, basic analysis, and creating visualizations for business insights.
What's the difference between data science and data analytics?
Data analytics focuses on analyzing existing data to find insights, while data science involves more advanced techniques like machine learning and predictive modeling.
Do I need strong mathematical background?
Basic understanding of statistics and mathematics is helpful, but the attachment is designed to help you learn practical data analysis skills in a real business environment.
Ready to Start Your Data Science Journey?
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