Internship Description
This internship offers project-based learning exposure to data analysis, focusing on collecting, cleaning, and analyzing datasets to generate insights that support data-driven decision making. Participants will work on guided data analysis projects under mentorship, learning how raw data is transformed into meaningful insights through structured analytical workflows.
Activities & Exposure
- Practice data processing and analysis using Python (pandas, NumPy) and SQL
- Learn how to build dashboards using tools such as Tableau or Power BI
- Explore basic statistical analysis and introductory predictive methods
- Present analytical findings through visual reports and summaries
- Participate in data review discussions and feedback sessions
Outcomes
- Practical experience with end-to-end data analysis workflows
- Improved ability to communicate insights using visualizations
- Portfolio-ready examples of data analysis and reporting
Requirements
Preferred Background
- Major in Data Science, Statistics, Computer Science, or related fields
- Familiarity with data visualization tools and analytical libraries
- Strong analytical mindset and attention to detail
- Interest in data analytics or analytics-driven roles