A repository for Sciprogram graduate level entry course for Python coding at NYU. This is a student learning repository with assignment solutions, inclasscripts created by instructor Shannon Tubridy, Phd.

• Assignment: Instructions, solutions and rubric for solving data analysis in Python
• Cheatsheet: Useful cheatsheet in python coding
• Class logs: Logs for tracking the learning progress
• Exercises: Useful practice along learning progress
• Stats: Detailed instruction for stats in Python
• code: Inclass script with specific theme
• data: Data sets that might be imported in Inclass scripts
• stroop: Exp code and data in class.-

• Assignment: Instructions, solutions and rubric for solving data analysis in Python
  • HW1 (numbers, strings, list, variable operations)
  • HW2 (boolean, looping, if/else, library import, dictionairy, path, pandas with data frames operations)
  • HW3 (data importing, analyzing, and visualization)
  • Final_Project
    • A Full-flow exploratory cognitive memory test data analysis:
      • data import, data cleaning, concatenate and merge
      • descriptive stats
      • correlation
      • t-test
      • regression
      • ANOVA