The Data Science Internship Program by Arbor Academy is designed for students, graduates, and early professionals seeking real-time, project-based exposure in the field of data science. This internship bridges the gap between academic learning and practical industry demands by offering hands-on experience with real datasets, tools, and technologies used by professionals. Participants will explore the complete data science pipeline — from data collection and wrangling to machine learning and model deployment — under the mentorship of experienced data scientists.
This internship is an ideal stepping stone for aspiring data scientists, providing not just knowledge but also the experience needed to build confidence and job readiness in a competitive market.
During the internship, learners will engage with data science projects across multiple domains such as e-commerce, healthcare, and finance. Participants will gain experience in working with Python, Pandas, NumPy, Matplotlib, Scikit-learn, and Jupyter Notebooks, along with exposure to databases and APIs. Emphasis is placed on understanding problem statements, cleaning and preparing datasets, selecting the right algorithms, evaluating models, and communicating insights effectively.
Interns will submit weekly reports, receive mentor feedback, and participate in review sessions to ensure steady progress. The internship concludes with a final presentation and the submission of a complete end-to-end data science project.
- Basic knowledge of Python programming
- Familiarity with data types, variables, loops
- Curiosity to solve real-world problems using data
No curriculum found for this course. (Category ID: 7, Subcategory ID: 26)
Course curriculum is currently being updated. Please check back later or contact us for more information.
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