Internship Handbook
  • College of Staten Island - Computer Science Department
    • Welcome! 👋
    • 🗺️Sample Degree / Career Milestone Map
    • Infused Career/Degree Map Video
  • Resume
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  • GETTING STARTED WITH TECH PROJECTS
    • Cybersecurity
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    • Web Dev / Web Design
    • Game Design
    • Artificial Intelligence
    • Hackathons / Open-Source
    • Self-Guided Tutorials and Ideas
  • TECHNICAL INTERVIEW PREP RESOURCES
    • Suggested Sites
  • Forage - Virtual Work Experience
    • Virtual Work Experience
  • Resources
    • Freshmen Start-up Guide
    • Internships
    • Campus Computer Science Clubs
    • Diversity, Equity, and Inclusion Resources
    • Internship Hiring Cycle
    • Training and Development
    • CUNY Internship Opportunities
  • CSC 126 Sample Course Work
  • Career Center
    • CSI Career Center
    • A Cool Video on Cover Letter
    • Internship RSS postings
  • Are You Career Ready?
    • Skills Employers Look for in Candidates
      • Career & Self-Development
      • Communication
      • Critical Thinking
      • Equity & Inclusion
      • Leadership
      • Professionalism
      • Teamwork
      • Technology
    • Career Readiness in Classroom
      • Career & Self-Development
      • Communication
      • Critical Thinking
      • Equity & Inclusion
      • Leadership
      • Professionalism
      • Teamwork
      • Technology
  • Optional
    • Feedback
    • Personal Portfolio
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  1. GETTING STARTED WITH TECH PROJECTS

Data Science

These platform are beginner-friendly and perfect for hands-on learning for those interested in Data Science

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Last updated 15 days ago

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Kaggle - an online platform for data science and machine learning that offers datasets, coding competitions, and collaborative projects. It allows users to build models, share code, and learn from a global community of data enthusiasts and professionals—all within a cloud-based coding environment.

Datacamp - an online learning platform focused on data science and analytics. It offers interactive courses in Python, R, SQL, and other tools, covering topics like data manipulation, machine learning, and visualization. Lessons combine short videos with hands-on coding exercises to help users build practical skills.

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