Pre-Skills Preparation

Pre-Skills Preparation (Optional)

The following resources can help you to prepare for the courses you will be taking in the InfoSci program.

Python:

• Essential Python Topics
  • Statements, variables, basic data types & operators
  • Conditional statements
  • Loops
  • Lists, dictionaries, tuples
  • Input and output
  • Reading and writing files
  • Functions, libraries, modules
  • Testing & debugging
• Python Books
  • Python for Everybody – $10 print, free online
  • Python Crash Course – $40 print, $32 ebook
  • CS Principles: Big Ideas in Programming – free, with interactive examples
• Online Python Courses and Tutorials
  • Codecademy Python – free
  • The Python Guru – free
  • DataCamp Python Programming courses – Intro course free; others charged by the month
  • Coursera – These can be audited for free. If you pay, you can get feedback and “grades”:
    • ​Programming for Everybody (Getting Started with Python)
    • Python Data Structures
  • http://pythontutor.org – free
  • https://stackoverflow.com – free
  • w3schools.com – free
  • Corry Schafer Youtube Channel – free

R:

• “Statistics (The Easier Way) with R: an informal text on applied statistics” by N.M. Radziwill ISBN13 – 9780996916059
• Datacamp.com
• Codecademy.com

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