Data Analysis Track
Who can apply?
university|collges/institutions|Graduates
Program Details
| Program | Data Analysis intern |
|---|---|
| Certificate | Awaits Upon Complettion |
| Internship Fee | UGX 93,000 |
| Program Length | 3 Months |
| Start Date | May |
| Location | Technology Innovation Surppot Centre (TISC) UTC-Lira |
"Analyze and innovate with data, developing leadership skills to become a future data analytics leader."
Eligibility Criteria
- Currently enrolled in an undergraduate or graduate degree program in a relevant field.
- Recent graduate (within the past 12 months) from a relevant academic program.
- Strong academic standing (minimum GPA of 3.0 or equivalent).
- Demonstrated interest in technology and social impact.
- Specific technical skills as outlined in individual track descriptions.
- Legal authorization to work in the program location.
Qualifications
Key Responsibility
- Assist in collecting, cleaning, and preprocessing datasets
- Apply statistical methods and machine learning algorithms to analyze data
- Develop and refine predictive models
- Create data visualizations to communicate insights effectively
- Contribute to data-driven decision-making processes
- Document methodologies, findings, and recommendations
- Collaborate with cross-functional teams to understand data needs
Preferred Qualifications
- Experience with machine learning libraries (Scikit-learn, TensorFlow, or PyTorch)
- Knowledge of data visualization tools (Matplotlib, Seaborn, Tableau, or Power BI)
- Familiarity with SQL and database concepts
- Understanding of experimental design and A/B testing
- Experience with big data technologies (Hadoop, Spark)
- Domain knowledge in development economics, public health, or education
Learning Outcomes
- Industry Exposure: Practical experience in the full data science workflow
- Skill Development: Skills in applying appropriate statistical methods to business problems.
- Networking Opportunities: Ability to develop and evaluate machine learning models
- Real-World Problem Solving: Experience communicating data insights to technical and non-technical audiences.
- Agile Development Knowledge: Understanding of data ethics and responsible AI practices.
Get practical skills. Apply today!
Drive real impact through data analysis. Gain industry insights on meaningful
projects. Apply now to launch your career in data.