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SUMMER COMPUTING INSTITUTE (SCI) 2023

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Schedule

Staff

  • Staff & Speakers directory
  • Instructors: Dr. Parisi, Dr. Guida, Dr. Scharff
  • Thanks to our wonderful mentors: Aida Bozulan, Omari Brockington, Lauren DeMaio, Rutik Kothwala, Dominick Sacchetti, Chandani Thumar
  • Staff: Melanie Madera, Jackie Wong

Learning outcomes

  • Be more knowledgeale about datasets about NYC
  • Be more knowledgeable about what Data Science is
  • Be introduced to data science algorithms
  • Be introduced to basic statistics
  • Be familiar with the Python language fundamentals
  • Be familiar with the most common Python data structures and libraries for Data Science
  • Be able to create visualizations with Python
  • Be able to use Python to carry out basic statistical modeling and analysis
  • Be familiar with Design Thinking
  • Have developed teamwork and communication skills
  • Have applied knowledge on a project based on real data
  • Discover studies and careers in tech

Material

Introduction

Python Slides and Challenges

Data Science Slides and Challenges

Slides (in Google Colab)

Challenges

Project

Infos about the project

Datasets

  • NYC Open Data, subway entrances, dog licenses, film permits etc.
  • Datasets
  • Download the datasets here

Tools

  • Communication - Discord
  • Documentation - GitHub
  • Exploration of the data - Excel, Python
  • Code - Python, Google Colab, GitHub
  • Presentations - Google Docs

Panel

  • Seidenberg students' panel

Students' work

Ceremony

Resources

Python

Data Science

Statistics

Design Thinking

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