Lesson 13: Simple Statistical Computing in Python

November 1, 2015

Mon, Nov 2

Review:

• Big Data Analytics (aka Data Science or Statistical Computing)
• Python Anywhere Setup and Hello World program

Presentation:

• Computing basic statistics in Python
  • define and set variables
  • import numpy and scipy
  • calculate mean, median, standard deviation
  • run correlation
  • run linear regression
• Demo using Python to complete problem 12.1 from Lesson 3.
  • Step by step Python commands: PythonProblem12.1
• Sources
  • Sheppard, Kevin, 2014. “Introduction to Python for Econometrics, Statistics and Data Analysis”
  • Numpy and Scipy documentation

Assignment:

• Use Python to complete problems 12.2, 12.4, 12.6, 12.8 (p. 474-475) from Lesson 3 and Lesson 4.
• Post output (screen capture) to your blog.
• Reading:
  • http://readwrite.com/2013/11/25/python-displacing-r-as-the-programming-language-for-data-science
  • http://www.infoworld.com/article/2951779/application-development/in-data-science-the-r-language-is-swallowing-python.html